Wireless Sensor Networks (WSNs) have and will continue to play a vital role in our daily lives. A WSN consists of sensor nodes that are powered by small irreplaceable batteries. These sensor nodes are densely deployed in the area to be monitored to sense and transmit data towards the base station. WSNs can greatly simplify system design and operation, as the environment being monitored does not require the communication or energy infrastructure associated with wired networks . WSNs have great potential for many applications in scenarios such as detecting and tracking the passage of troops and tanks on a battlefield, monitoring environmental pollutants , habitat monitoring , classroom/home , structural monitoring , measuring traffic flows on roads, hazardous environment exploration and seismic sensing , tracking the location of personnel in a building and health monitoring.
The Wireless Body Area Network (WBAN) represents a recent evolution of sensor technology for the development of a new generation of Human-Computer Interfaces (HCIs) that provide natural and context-aware access to personalized services. Sensor technology enables the development of small and intelligent medical sensors which can be worn on or implanted in the human body. These biosensors are capable of measuring significant physiological parameters like heart rate, blood pressure, body and skin temperature, oxygen saturation, respiration rate, electrocardiogram, etc. The obtained measurements are communicated either via a wireless or a wired link to a central node, like a Personal Digital Assistant (PDA) or a microcontroller board, which may then in turn display the information on a user interface or transmit the aggregated vital signs to a medical center. Using a wired connection for this purpose turns out to be too cumbersome and involves a high cost for deployment and maintenance. However, the use of a wireless interface results in an emerging new technology called WBAN . A WBAN could be seen as a special purpose wireless sensor network with a number of additional system design requirements. A WBAN is most likely to incorporate a wearable and implantable node operating in two different frequencies. An implantable node operates at 400 MHz using the MICS band whereas the wearable node could operate in ISM/UWB or some other band .
WBAN technology could provide the connectivity to support elderly people in managing their daily life and allows easy internetworking with other devices and networks, thus offering the health care worker easy access to a patient’s critical and non-critical data. A WBAN allows continuous monitoring of the physiological parameters. Whether the patient is in the hospital, at home or on the move, the patient will no longer need to stay in bed, but will be able to move around freely. Furthermore, the data obtained during a large time interval in the patient’s natural environment offers a clearer view to the doctors than data obtained during short stays at the hospital . An example of a WBAN used for medical and non-medical applications to monitor the body function for sporting, health, entertainment, and emergency applications is shown in Figure 1 . In the figure the game server is used for handling the non-medical applications like sports, while the other servers are used for dealing with medical related services. Several sensors are placed in clothes, directly on the body or under the skin of a person, which measure the temperature, blood pressure, heart rate, ECG (Electrocardiography), EEG (Electroencephalography), respiration rate, SpO2 levels etc. Limited energy resources are the primary constraint for WBAN to provide long term health monitoring.
Traditional MAC protocols are designed to maximize packet throughput, reduce latency and provide fairness but these lack energy conserving mechanisms, so when designing MAC protocols for a WBAN we must focus on reducing unnecessary energy expenditure due to wireless communication as well as insuring that the delay-sensitive data (emergency) are serviced within the application constraints.
Several energy conserving MAC protocols have been proposed based on contention or TDMA. The contention-based protocols also called the duty cycling protocols, such as BMAC , SMAC  and TMAC  etc. allow nodes to access a shared wireless medium independently. These protocols inherit good scalability and support topology changes but they are not suitable for WBAN due to the following reasons .
The contention-based protocols use Clear Channel Assessment (CCA) to determine the status of the channel. However, the CCA for the implant device is not reliable. This is because path losses in tissue are much bigger than those in free space. All implant nodes with failed CCA become “hidden nodes” to the transmitter.
The sleeping mechanism is complex, and it requires control overhead to keep neighbor nodes synchronized.
Most of the WBAN traffic is correlated and a single physiological fluctuation triggers many sensors at the same time which will result in heavy collisions and extra energy consumption. For example, a patient suffering from fever triggers temperature, blood pressure, and respiration sensors at the same time.
In the TDMA-based protocols nodes are assigned their own time slot, and may access the shared medium only in this time slot. This allows for scheduling of sleep, idle listening and avoidance of collisions at the transceiver, without additional overhead. However, conventional TDMA schemes are not suitable for WBANs because these protocols require high quality time synchronization since the clock drift may lead to disastrous consequences.
Another approach is to use a radio triggered power management scheme which avoids useless wake-up periods. In this scheme a very low-power wake-up radio hardware component monitors the environment when the node enters sleep mode. When the stand-by radio transceiver receives radio signals, it wakes the sleeping node instantly, consequently saving energy spent in previous wake-up and listen intervals.
In this paper we propose a Very Low Power MAC (VLPM) protocol for WBANs. Our protocol is based on a radio triggered power management scheme. We categorize BAN traffic into two types: uplink (from BN to BNC) and downlink (BNC to BN). In the case of uplink traffic the BN sends a wake-up packet to the coordinator. The coordinator then assigns the resources to the node in the Res-ACK packet and receives the desired data. In the case of downlink traffic the coordinator sends a wake-up packet to the node along with the resources. The low power receiver of the BN then wakes up the processor to interpret the message and then wake-up the main radio to start the actual communication. To the best of our knowledge, this kind of low power approach has not been considered before for WBAN.
The rest of the paper is categorized into four sections. Section 2 presents related works. Section 3 briefly describes the proposed protocol. Section 4 presents useful analytical derivations and performance analysis of VLPM with other MAC protocols. The final section concludes our work.
2. Related Work
Owing to the fact that energy efficiency is a vital part of WBAN performance, recently there has been a considerable amount of research effort directed towards the development of low power energy efficient MAC protocols. The low data rate support and quick implementation of IEEE 802.15.4 has attracted many researchers. The performance of both beacon and non-beacon mode was studied in  and it was concluded that non-beacon mode is better than beacon mode in terms of throughput and latency. but comes with high power consumption costs. In  the authors supported the non-beacon mode for low data rate and asymmetric traffic. Li et al. considered the beacon enabled mode and achieve better performance in energy efficiency and latency by adjusting the super frame structure . Although IEEE 802.15.4 is closely related to WBANs, it still does not provide enough solutions for communication among BAN nodes. A schedule-based MAC protocol called H-MAC is presented in . This protocol uses heart rhythm information to perform synchronization and to improve energy efficiency, but the heart beat information is not always valid due to variations in the patient’s condition. A Dynamic TDMA protocol with focus on the dependability and power efficiency is presented in . In Dynamic TDMA, the coordinator assigns slots to the nodes which have buffered packets and are released after transmission. However, this protocol still needs some form of synchronization which is difficult to achieve, especially in the case of implanted nodes. In BodyMAC , although the authors have defined downlink and uplink sub frames for on-demand and normal traffic but for implant node they have not considered a very low power wake-up mechanism. Marinkovic et al. presented an energy efficient MAC protocol to support streaming of large amounts of data in WBANs with little amount overhead and no idle listening . In TaMAC , the authors tried to solve the idle listening and overhearing problems by taking into account the traffic information of the sensor nodes to dynamically adjust the duty cycle of the sensor nodes according to their traffic-patterns.
Some of the most important design constraints of a node in medical applications are the response time along with energy efficiency. For pacemakers and in control systems, long latencies can lead to a huge loss of human life and system instability. Techniques are therefore needed to save energy as well as to reduce latency. One of the possible alternatives to reduce latency and to improve energy efficiency is to use an additional low power wake-up radio hardware which is capable of reacting instantly on an event of interest and with negligible power consumption. The use of wake-up radio hardware in WSNs is not new. PicoRadio , one of the earliest works on wake-up radio, uses a carefully designed very low power transceiver module, which is capable of monitoring the radio environment. In  the authors have shown that use of wake-up radio is very beneficial in terms of energy consumption rather than in low duty cycling protocol. Gu et al. proposed a radio triggered wake-up circuit to control the operation of sensor node and to eliminate the energy wastage of wake-up radio without addressing capabilities, thus restricting the functionality significantly . Doorn et al. , proposed a prototype to work in the 868MHz band, for achieving energy efficiency with the help of a low cost radio triggered wake-up. Due to the lack of addressing mechanism in their proposed prototype, energy is wasted by waking up all the other nodes unnecessarily and hence it is not suitable for WBANs. In , the authors have proposed to attach passive RFID (Radio-frequency Identification) tags to the sensor node for conserving node energy. But to activate a passive RFID tag we need to have an RFID reader to send strong radio signals. In  the authors proposed a radio triggered wake-up with addressing capabilities that allows the non-target nodes to go to sleep mode quickly just after interpreting the ID in the wake-up packet.
3. Protocol Description
In this section, we present the architecture of low power wake-up receiver/transmitter, the network model and principal of operation of VLPM.
3.1. Hard Ware Architecture of the Wake-Up Receiver/Transmitter
There are several types of radio triggered circuits, but for a WBAN we would prefer to use a stored energy radio triggered circuit with a filter. The reason for this circuit to use is that as in the WBAN the transmitting power and the receiving antenna gain is normally very limited and the chances of tissue loss and other path losses are greater. Thus the energy received from a signal by the simple radio triggered circuit may not be enough to trigger the interrupt in all the cases.
Figure 2 shows the schematic of the radio triggered wake-up receiver with filter. This stand-by hardware first collects and stores the energy from the radio signals and then generates a sufficient output voltage to interrupt the MCU .
The job of the antenna of the radio triggered circuit is to collect energy from electromagnetic waves. The incoming radio frequency activates the antenna and then the electrical energy of the antenna powers other parts of the circuit and produces an output voltage. The use of a band filter which is made up of a resistor (Rf) and capacitors (Ch, Cl) intensifies the selecting power of the circuit to distinguish between wake-up radio signal frequency and false alarms. The transformer X10 is used to increase the input voltage on the antenna. The transformer makes it easier to reach the voltage threshold required for triggering an interrupt. The loss during the voltage transforming process is negligible. As compared to the basic radio triggered circuit the store energy radio triggered circuit requires some time i.e., about 2.8 ms is needed to accumulate energy for generating enough voltage to trigger the interrupt . This delay increases with an increase in distance. Since in WBAN as nodes normally work within a 3 meter range, therefore we believe that this delay will not increase more.
The capacitor Cse is used to store energy. As soon as the antenna receives radio signals, the energy is accumulated on Cse due to the flow of current which causes the voltage to increase across the capacitor. The wake-up signal transmitter used in our work consists of a TelosB node (using CC2420 as main radio and MSP 430 as MCU), Texas Instruments Inc.’s CC1000 radio transceiver and an optional ZHL-2010 frequency amplifier for increasing communication range as shown in Figure 3 . The CC1000 radio generates a modulated signal which has the capability to uniquely address different nodes and also to send short commands within the wake-up packet.
3.2. Network Model
This sub-section describes the proposed network model. The network is composed of a BNC (BAN Coordinator) and BNs (BAN Nodes). The BNC can either be a standalone device or integrated within another device such as a cell phone or a Personal Data Assistant (PDA) whose job is to obtain the data from BNs and send it onward for further processing. The BNs are battery powered sensor nodes which measure the physiological parameters and send to the BNC. Both the BNs and BNC consists of a low power wake-up transmitter as well as a receiver.
The wake-up receiver monitors the channel for activity constantly and keeps the MCU along with main radio in sleep mode. When an event of interest happens, the wake-up receiver then interrupts the MCU, which then wakes up the main radio to start communication. Figure 4 shows the proposed network model.
3.3. Principle of Operation
Most of the conventional power management schemes are based on periodic wake-up/sleep schedules. Nodes wake-up periodically to listen for incoming packets and then decide whether to go into a sleep state or stay awake. In the case, if no packets are destined to them the nodes then set the timer for the next wake-up and switches off its radio. Idle listening dominates the total energy consumption in this case. Furthermore, in the wake-up/sleep protocols the microprocessor always remains in wake-up mode which also has a negative effect on the network life time. Another problem is that if we decrease the duty cycle we will save energy but we will have to pay the penalty for latency. For time-sensitive applications like pacemakers and control systems long latencies can lead to system instability. To keep the network responsive, the wake-up period needs to happen frequently so that the nodes wake-up quickly and reply to the incoming messages. Due to the unpredictability and low traffic, a majority of wake-up periods may initiate in vain, which results in a waste of energy.
In the proposed scheme a radio triggered wake-up receiver circuit is attached to a sensor node which keeps the main radio & MCU in sleep mode until it receives a WUP (Wake-up Packet) on the wake-up radio. After receiving a WUP, the MCU is activated for interpreting the command. After interpretation the MCU then decides whether to go to sleep or activate the main radio based on the address field in the wake-up packet. Unlike duty cycling protocols, our protocol works on an “on-demand” bases i.e., nodes are only awoken when they are the intended senders or receivers of data packets. Our protocol assumes two different types of wake-up and ACK packets namely WUP, Res-WUP and Imm-ACK, Res-ACK respectively. The BNC uses Res-WUP and Res-ACK by piggybacking resource allocation on wake-up and acknowledgement messages. This piggybacking becomes rather difficult and more complex when used for applications in which a message is needed to be sent out every few seconds, or even minutes. But in the case of WBAN where the traffic is low and infrequent, this piggybacking approach is more beneficial in terms of energy utilization and latency. In VLPM, Imm-ACK is used by the BN as well as by the BNC for simple acknowledgment without resource allocation. Similarly WUP is used by the BN to inform the BNC about the emergency event. The wake-up packet is sent at a special radio frequency which does not interrupt with other types of radio communication. Figure 5 shows the proposed frame formats. Upon receiving the WUP, the circuit interrupts the MCU to interpret the message. The MCUs of the non-targeted nodes process the incoming message and then turn off quickly while the MCU of the addressed node turns on its main radio for radio communication.
4. Performance Evaluation
This sub-section describes the evaluation of radio triggered circuit for WBAN and the analytical models used for comparing VLPM with other MAC protocols.
4.1. Evaluation of the Radio Triggered Circuit for WBAN
In this section we evaluate the effectiveness of the radio triggered circuit for WBAN in terms of antenna gain, latency and lifespan for different BAN traffic scenarios. We are taking the same scenario as that described in  instead of taking a specific BAN chip because in our approach the radio triggered circuit makes no use of the node battery power. Therefore its performance will be similar to any chosen BAN RF chip. According to our scheme, each BN will either be in active mode or in sleep mode. In sleep mode all the hardware components except the interrupt controller and low power amplifier switch off.
In this scenario, we assume that there exists one event per two BAN hours and the event lasts for 60 BAN seconds. We also assume that each BN uses two 2000 mAh AA batteries with an average voltage of 1.5 V, during the network life time. The current drawn is 0.01 mA and 20 mA in sleep and active mode respectively. The BN takes 5 ms to go from sleep mode to active mode using 30 mA current. We computed the lifespan of the network for regular, low traffic (on-demand) and sporadic bursts of traffic as shown in Figure 8.
In the case of regular traffic we assume that the BN wakes up for 200 ms (including switching time) to communicate with BNC and then goes to sleep mode for 1 BAN minute (the BN wakes up for event detection after every 60 seconds and then remains in wake-up mode for 200 ms in total to transfer the detected data to the BNC). This schedule repeats continuously. In the case of on-demand traffic, the BN remains in the sleep mode and wakes up only when the BNC requires it to send the data by sending a low power wake-up call. For bursty traffic all the nodes need to be awake all the time throughout the network life time.
The network lifespan for regular traffic (Lreg) can be computed as:
similarly the network lifespan for on-demand traffic (Lon-dmnd) can be computed as:
Solving Equation (2) for Lon-dmnd we obtained lifespan of 449.98 days.
For bursty traffic the network lifespan is:
In order to trigger the interrupt for MCU, we need enough energy in the receiving signal which is in the form of electromagnetic waves. This signal energy depends on the transmitting power of the sender and/or the receiving and transmitting antenna gains. The signal strength decreases when the distance increases. To handle this problem either we need to increase the transmitting power or the receiving antenna gain. In the case of WBAN we cannot increase the transmitting power above a certain limit, because of concerns over power consumption and radio interference. The received power depends on Effective Isotropic Radiated Power (EIRP), receiving antenna gain, path losses and the distance between the sender and receiver.
The received power (Prx) at the antenna can be calculated as:
Here Ptr is the transmission power, Gt is the transmitting antenna gain, Gr is the receiving antenna gain, Lp is free space path loss, R is the distance between transmitter and receiver and λ is the wavelength.
We used the example of a Mica2 mote with a CC1000 radio transceiver. This radio can transmit radio signals from −10 dBm to +10 dBm . We assume Ptr = +10 dBm, R = 3 m, Gt = 6.31 mW, Gr = 3.98 mW and λ = 0.69 m. By putting these values in the formula we get Prx = 0.084 mW which is enough to generate the desired voltage (0.6 V ) for triggering the interrupt.
Figure 9 shows that as the distance between the nodes increases, the need for the antenna of higher gain also increases. However using an antenna of higher gain is not practically applicable in the case of WBAN especially for implanted nodes. Therefore, in the case of WBAN, where the transmitting power as well as antenna gains is limited, we need to store some energy to trigger the interrupt successfully.
4.2. Analytical Models for Power Consumption and Latency
In this section, we provide models for latency and power consumption of VLPM and compare them to the corresponding models of B-MAC, X-MAC, TMAC and SCP-MAC. To obtain numerical results we are considering TeloseB platform with T1 CC1000 transceiver . Table 1 shows the parameters used and their values . The performance models are based on analysis presented in .
For deriving the performance models we assume that: (1) the channel is an ideal channel without errors; (2) There is no packet loss due to the buffer overflow at the receiving node; (3) at any packet arrival interval, there is one sensor sample and the data is sent directly to the one hop neighbor (BN or BNC); (4) there is no contention; (5) the power consumption of idle listening is equal to that of power receiving; (6) the time and power needed to switch from Tx to Rx and vice versa are same.
Data exchanges are normalized to packet generation time (T), during which all nodes generate exactly one data frame. Average power consumption for each protocol can be calculated by multiplying the power consumed during the activity (transmission, reception and sleep) and its duty cycle (duration during which the concerned activity performed) as shown in Equation (5). We have computed the Dtx and Drx for each protocol in its corresponding sections.
Latency is the second performance metric of interest. It is bounded by application requirements, for example, in the case of an emergency; event detection must be reported at the BNC within a few seconds. Depending on the MAC protocol there can be a rather large difference between average latency and worst-case latency. We therefore only model the average latency of the MAC protocols concerned:
In the X-MAC the receiver wakes up periodically to listen for the preamble and the transmitter continuously transmits strobed preambles (send small bursts then waits for ACK then sends another preamble and so on). The receiver needs to listen to at least two preambles and one ACK before starting the data communication with the transmitter.
The values of Dtx, Drx and Lavg can be calculated as:
B-MAC utilizes low power listening and an extended preamble to achieve low power communication. Nodes sleep, wake up and perform channel sensing periodically. Each node can have an independent schedule. The transmitting node precedes the data packet with a preamble that is greater or equal to the longest wake-up period of any node. A node samples the medium during the listening period and if a preamble is detected it remains awake to receive the data. The purpose of using the lengthy preamble is to assure the sender that at some point during the preamble the receiver will detect the preamble, and remain awake to receive the data. The values of Dtx, Drx and Lavg can be calculated as:
T-MAC is the improved version of S-MAC by shortening the awake period if the channel is idle. In T-MAC the nodes listen to the channel for only a short time (TA) after the synchronization phase and then return to sleep mode if no data is received. In the case of data, the node remains awake till data reception or untill the end of the awake period. The values of Dtx, Drx and Lavg for T-MAC can be calculated as:
Average latency can be calculated as:
This MAC protocol uses a short wake-up tone instead of a long preamble. Sync packets are piggybacked with data frames. It uses two contention windows with Tcw/4 average back off time. The receiver normally receives half of the wake-up tone and the second contention window. The Ttone, Dtx, Drx and Lavg can be calculated as:
In VLPM unlike the above mentioned conventional MAC protocol, the main radio never takes part in low power listening activities. Channel monitoring is performed by a low power wake-up receiver. Figure 10 shows the radio activities of VLPM for both uplink and downlink traffic along with other protocols. The average time required by the low power transmitter to transmit a single bit is 530 μs and the total power consumption of a node in the sleep mode i.e., Psleep = 12.528 μW . We assume that the address decoding time is negligible. The Dtx, Drx and Lavg for uplink traffic can be calculated is:
Similarly for down link traffic we can calculate Dtx, Drx and Lavg as:
4.3. Results and Discussion
Using the parameter values specified in Table 1, we found the average power consumption for low rate platform utilizing CC1000 transceiver . The results in Figure 11 show that VLPM outperforms both synchronized and unsynchronized protocols in terms of energy consumption. Due to the long preamble in B-MAC, its energy consumption is the highest of all. In B-MAC a sender needs to transmit the preamble for the duration of the longest wake-up period of any node, while the receiver and its neighbors listen on an average of half of the preamble.
The reduced energy consumption in X-MAC than B-MAC is due to the fact that the average length of the strobed preamble is half of the wake-up period (Tw). The replacement of long preamble with a short wake-up tone in SCP-MAC which wakes the sender and receiver almost at the same time results in much better energy saving.
For the packet generation time from 1 second to 1,000 seconds, the power consumption of the BNs in VLPM is from 40.68 μW to 853.44 μW. The reasons for this lowest power consumption is that, in VLPM the main radio turns on just before the actual data communication. There is no need to send a lengthy preamble and the non-targeted nodes go back to sleep soon just after processing the address info in the wake-up packet, without activating the main radio.
Figure 12 shows the latency comparison of VLPM with other protocols. The latency in the case of uplink traffic depends on WUP, Res-ACK and the data packet. There is no dependency on the wake-up period because the low power receiver is always in a channel monitoring mode. Unlike VLPM, the latency in the other protocols strongly depends on the wake-up period. Our observation is justified by the observations made by Kerl et al. that, latency is affected by wake-up period while power consumption is affected by duty cycle . VLPM incurs latency orders of magnitude lower than that of X-MAC, B-MAC and SCP-MAC. We further observe that for a wake-up period less than 20 ms, X-MAC and B-MAC dominates, but such small wakes up periods are not typical. Also lower wake-up periods mean higher duty cycles which lead to higher energy consumption.
We have proposed a very low power MAC protocol for WBANs. This protocol helps the BAN reduce idle listening and improve energy efficiency as well as response time. We have carried out comparative studies with X-MAC, B-MAC, T-MAC and SCP-MAC. Our protocol dominates in terms of both energy efficiency and response time. The high energy usage and latency in X-MAC, B-MAC, T-MAC and SCP-MAC is due to the fact that these protocols require the node to wake up periodically to monitor the channel and then go to sleep mode if there is no activity for that node to do. On the other hand our protocol reduces energy consumption by keeping the node along with the main radio in sleep mode all the time when there is no need for communication and improves response time by instantly waking up the desired node when it is needed. The use of a low power wake-up receiver minimizes the overhead incurred by time synchronization and by sending long preambles. An identity based wake-up receiver reduces overhearing up to a great extent, because only the intended nodes wake up and take part in communication while all the other nodes go quickly to sleep mode after interpreting the wake-up packet. The energy consumption of the non-target nodes in interpreting the message is negligible.
This research was supported by the MKE(The Ministry of Knowledge Economy), Korea, under the ITRC(Information Technology Research Center) support program supervised by the NIPA(National IT Industry Promotion Agency) (NIPA-2011-C1090-1121-0001) and by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MEST)(No. No.2010-0018116).
- Akyildiz, I; Su, W; Sankarasubramaniam, Y; Cayirci, E. Wireless sensor networks: A survey. Comput Netw 2002, 38, 393–422. [Google Scholar]
- Jensen, D. SIVAM: Communication, Navigation and Surveillance for the Amazon. Available online: http://www.aviationtoday.com/cgi/av/show_mag.cgi?pub=av&mon=0602&file=0602sivam.htm/ (accessed on 20 March 2011).
- Cerpa, A; Elson, J; Estrin, D; Girod, L; Hamilton, M; Zhao, J. Habitat monitoring: Application driver for wireless communications technology. Proceedings of ACM SIGCOMM Computer Communication Review—Workshop on Data Communication in Latin America and the Caribbean, San Jose, CA, USA, April 2001.
- Essa, IA. Ubiquitous Sensing for Smart and Aware Environments. IEEE Pers. Commun 2000, 7, 47–49. [Google Scholar]
- Nadler, B; Tanner, N; Farrar, CR. Structural Health Monitoring: Remote Sensing. Available online: http://www.lanl.gov/projects/damage_id/motes.htm (accessed on 18 March 2011).
- Amato, G; Chessa, S; Conforti, F; Macerata, A; Marchesi, C. Health Care Monitoring of Mobile Patients. Available online http://www.ercim.org/publication/Ercim_News/enw60/amato.html/ (accessed on 18 March 2011).
- Cypher, D; Chevrollier, N; Montavont, N; Golmie, N. Prevailing over wires in healthcare environments: benefits and challenges. IEEE Commun. Mag 2006, 44, 56–63. [Google Scholar]
- Ullah, S; Higgins, H; Braem, B; Latre, B; Blondia, C; Moerman, I; Saleem, S; Rahman, Z; Kwak, KS. A comprehensive survey of wireless body area networks: On PHY, MAC, and Network Layers Solutions. J. Med. Syst 2010. in press.. [Google Scholar]
- Park, S; Jayaraman, S. Enhancing the quality of life through wearable technology. IEEE Eng. Med. Biol. Mag 2003, 22, 41–48. [Google Scholar]
- Polastre, J; Hill, J; Culler, D. Versatile low power media access for wireless sensor networks. Proceedings of International Conference on Embedded Networked Sensor Systems, NewYork, NY, USA, 2004; pp. 95–107.
- Wei, Y; Heidemann, J; Estrin, D. An energy-efficient MAC protocol for wireless sensor networks. Proceedings of IEEE Infocom 2002, New York, NY, USA, 2002; pp. 1567–1576.
- Van Dam, T; Langendoen, K. An adaptive energy efficient MAC protocol for WSNs. Proceedings of ACM Conf on Embedded Networked Sensor Systems, SenSys 2003, Los Angeles, CA, USA, 2003; pp. 171–180.
- Zhen, B; Li, HB; Kohno, R. IEEE body area networks for medical applications. Proceedings of IEEE International Symposium on Wireless Communication Systems 2007, Trondheim, Norway, 16–19 October 2007.
- Li, C; Li, H-B; Kohno, R. Performance evaluation of IEEE 802.15.4 for wireless body area network. Proceedings of IEEE International Conference on ICC Workshops, Dresden, Germany, 2009; pp. 1–5.
- Timmons, NF; Scanlon, WG. Analysis of the performance of IEEE 802.15.4 for medical sensor body area networking. Proceedings of First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, Santa Clara, CA, USA, October 2004; pp. 4–7.
- Li, H; Tan, J. An ultra-low-power medium access control protocol for body sensor network. Proceedings of International Conference of the Engineering in Medicine and Biology Society 2005 (IEEE-EMBS 2005), Shanghai, China, 2005; pp. 2451–2454.
- Li, HM; Tan, JD. Heartbeat driven MAC for body sensor networks. Proceedings of ACM SIGMOBILE International Workshop on Systems and Networking Support for Healthcare and Assisted Living Environments, San Juan, Puerto Rico, 2007; pp. 25–30.
- Li, C; Kohno, HB. Reservation-based dynamic TDMA protocol for medical body area networks. IEICE Trans. Commun 2009, 92, 387–395. [Google Scholar]
- Fang, G; Dutkiewicz, E. BodyMAC: Energy efficient TDMA-based MAC protocol for wireless body area networks. Proceedings of International Symposium on Communications and Information Technologies 2009 (ISCIT 2009), Incheon, Korea, 2009.
- Milenkovic, A; Otto, C; Jovanov, E. Wireless Sensor Network for personal health monitoring: Issues and an Implementation. Comput. Commun 2006, 29, 2521–2533. [Google Scholar]
- Ullah, S; Kwak, KS. An Ultra Low-power and Traffic-adaptive MAC Protocol for WBANs. J Med Syst 2010. in press.. [Google Scholar]
- Otis, B. Ultra-Low Power Wireless Technologies for Sensor Networks. PhD dissertation,. University of California, Berkeley, CA, USA, 2005. [Google Scholar]
- Yang, X; Vaidya, NH. A Wakeup scheme for sensor networks: Achieving balance between energy saving and end-to-end delay. Proceedings of IEEE RTAS 2004, Toronto, ON, Canada, May 2004; pp. 19–26.
- Gu, L; Stankovic, JA. 2005. Radio-triggered wake-up for wireless sensor networks. Real-Time Syst 2005, 29, 157–182. [Google Scholar]
- van der Doorn, B; Kavelaars, W; Langendoen, KG. A prototype low-cost wakeup radio for the 868 MHz band. Int. J. Sensor Netw 2009, 5, 22–32. [Google Scholar]
- Gregori, S; Li, Y; Li, H; Liu, J; Maloberti, F. 2.45 GHz power and data transmission for a low-power autonomous sensors platform. Proceedings of International Symposium on Low Power Electronics and Design (ISLPED 2004), Newport Beach, CA, USA, August 2004; pp. 269–273.
- Ansari, J; Pankin, D; Mähönen, P. Radio-triggered wake-ups with addressing capabilities for extremely low power sensor network applications. Int. J. Wirel. Infor. Netw 2009, 16, 118–130. [Google Scholar]
- Chipcon CC1000 datasheet. Available online: http://www.chipcon.com/files/CC1000/DataSheet21.pdf/ (accessed on 19 March 2011).
- Kohvakka, M; Suhonen, J; Hamalainen, TD; Hannikainen, M. Energy-efficient reservation-basedmedium access control protocol for wireless sensor networks. EURASIP J. Wirel. Commun. Netw 2010, 2010, 22. [Google Scholar]
- Karl, H; Willing, A. Protocols and Architectures for Wireless Sensor Networks; John Wiley and Sons, Inc: New York, NY, USA, 2005. [Google Scholar]
|⊖||Clock drift||20 ppm||Ptx||Transmit power of main radio||29.9 mW|
|R||Bit rate||76.8 Kbps||Psleep||Sleep power||37 μW|
|Tack,TCTS, TRTS, TP||Duration of control packets||0.83 ms||Tsync||Sync time||90 s|
|TB||Beacon Length||3.33 ms||Tcca||CCA time||256 μs|
|Lpay||Payload length||32 bytes||Twake||Wake-up time||1.5 ms|
|N||Number of nodes||10||Ts`et||Time required for switching from Tx to Rx and vice versa||130 μs|
|Prx||Receive power of main radio||24.5 mW||Pwake||Power required to wake up main radio||855 μW|
|Pset||Power to go to Tx or Rx mode||27.2 mW||Tlpl(X-MAC)||Time for low power listening||2.88 ms|
|T||Packet generation time||Variable||Tsp(SCP-MAC)||Time for sync packet||0.03 ms|
|Twup||Duration of WUP||21.2 ms||TRes-ack||Time for Piggybacked ack||1.04 ms|
|Ptxbn||Transmit Power of Wake-up radio||1.6 mW||Prxbn||Receive Power of wake-up radio||0.4 mW|
|TRes-wup||Duration of Piggybacked WUP||1.25 ms||Timm-ack||Duration of immediate ack||16.9 ms|
© 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).