Special Issue "Rechargeable Sensor Networks: Technology, Protocols, and Algorithms"

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708).

Deadline for manuscript submissions: closed (31 March 2017).

Special Issue Editor

Prof. Dr. Asis Nasipuri
E-Mail Website
Guest Editor
Department of Electrical & Computer Engineering, The University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223-0001, USA
Interests: wireless sensor networks; energy management; statistical signal processing; collaborative and distributed algorithms

Special Issue Information

Dear Colleagues,

Rechargeable sensor networks is a subject of much attention in the networking research community. Using energy harnessed from the environment (e.g., solar, mechanical vibrations, thermal, etc.) to power resource constrained wireless sensor nodes promises to be the most practical solution for long-term survivability of wireless sensor networks. However, as addressed by researchers, there are many challenges to be addressed to make such rechargeable sensor networks practical. Some of these challenges are technology related, while others require solutions to research problems that span a wide range of disciplines. Examples include special approaches for low power energy harvesting, storage technology that overcomes the limitations of battery charge-discharge cycles, mechanisms to address variability of environmental energy resources, energy management, energy efficient communications, and others.

The Special Issue will focus on challenges, novel solutions, and results on research on all aspects of rechargeable sensor networks, focusing on technology, protocols, and algorithms. The objective is to include theory and practice on new approaches and solutions that contribute to achieving higher reliability and potentially unlimited lifetime of energy harvesting sensor networks. In particular, experimental results and new technological breakthroughs that are relevant to this subject area are welcome.

Potential topics include, but are not limited to:

  • Energy harvesting techniques
  • Energy storage
  • Technology for low power rechargeable sensor nodes
  • Architectures for energy management
  • Energy neutral operation
  • Adaptive algorithms
  • Protocols for rechargeable sensor networks
  • Distributed algorithms for spatial and temporal variations of energy resources
  • Applications of rechargeable sensor networks

Prof. Dr. Asis Nasipuri
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Sensor and Actuator Networks is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (4 papers)

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Research

Article
Distributed Routing and Channel Selection for Multi-Channel Wireless Sensor Networks
J. Sens. Actuator Netw. 2017, 6(3), 10; https://doi.org/10.3390/jsan6030010 - 03 Jul 2017
Cited by 15 | Viewed by 5057
Abstract
We propose a joint channel selection and quality aware routing scheme for multi-channel wireless sensor networks that apply asynchronous duty cycling to conserve energy, which is common in many environmental monitoring applications. Energy resources may vary from node to node due to differential [...] Read more.
We propose a joint channel selection and quality aware routing scheme for multi-channel wireless sensor networks that apply asynchronous duty cycling to conserve energy, which is common in many environmental monitoring applications. Energy resources may vary from node to node due to differential consumption as well as availability, as observed in rechargeable sensor networks. A data collection traffic pattern is assumed, where all sensor nodes periodically forward sensor data to a centralized base station (sink). Under these assumptions, the effect of overhearing dominates the energy consumption of the nodes. The proposed scheme achieves lifetime improvement by reducing the energy consumed in overhearing and also by dynamically balancing the lifetimes of nodes. Performance evaluations are presented from experimental tests as well as from extensive simulation studies, which show that the proposed scheme reduces overhearing by ∼60% with just 2 channels without significantly affecting the network performance. Full article
(This article belongs to the Special Issue Rechargeable Sensor Networks: Technology, Protocols, and Algorithms)
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Article
Wireless Power Transfer Protocols in Sensor Networks: Experiments and Simulations
J. Sens. Actuator Netw. 2017, 6(2), 4; https://doi.org/10.3390/jsan6020004 - 01 Apr 2017
Cited by 19 | Viewed by 5941
Abstract
Rapid technological advances in the domain of Wireless Power Transfer pave the way for novel methods for power management in systems of wireless devices, and recent research works have already started considering algorithmic solutions for tackling emerging problems. In this paper, we investigate [...] Read more.
Rapid technological advances in the domain of Wireless Power Transfer pave the way for novel methods for power management in systems of wireless devices, and recent research works have already started considering algorithmic solutions for tackling emerging problems. In this paper, we investigate the problem of efficient and balanced Wireless Power Transfer in Wireless Sensor Networks. We employ wireless chargers that replenish the energy of network nodes. We propose two protocols that configure the activity of the chargers. One protocol performs wireless charging focused on the charging efficiency, while the other aims at proper balance of the chargers’ residual energy. We conduct detailed experiments using real devices and we validate the experimental results via larger scale simulations. We observe that, in both the experimental evaluation and the evaluation through detailed simulations, both protocols achieve their main goals. The Charging Oriented protocol achieves good charging efficiency throughout the experiment, while the Energy Balancing protocol achieves a uniform distribution of energy within the chargers. Full article
(This article belongs to the Special Issue Rechargeable Sensor Networks: Technology, Protocols, and Algorithms)
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Article
Novel Adaptive Transmission Protocol for Mobile Sensors that Improves Energy Efficiency and Removes the Limitation of State Based Adaptive Power Control Protocol (SAPC)
J. Sens. Actuator Netw. 2017, 6(1), 3; https://doi.org/10.3390/jsan6010003 - 15 Mar 2017
Cited by 3 | Viewed by 5090
Abstract
In this paper, we have presented a novel transmission protocol which is suited for battery-powered sensors that are worn by a patient when under medical treatment, and allow constant monitoring of health indices. These body-wearable sensors log data from the patient and transmit [...] Read more.
In this paper, we have presented a novel transmission protocol which is suited for battery-powered sensors that are worn by a patient when under medical treatment, and allow constant monitoring of health indices. These body-wearable sensors log data from the patient and transmit the data to a base-station or gateway, via a wireless link at specific intervals. The signal link quality varies because the distance between the patient and the gateway is not fixed. This may lead to packet drops that increase the energy consumption due to repeated retransmission. The proposed novel transmission power control protocol combines a state based adaptive power control (SAPC) algorithm and an intelligent adaptive drop-off algorithm, to track the changes in the link quality, in order to maintain an acceptable Packet success rate (PSR)(~99%). This removes the limitation of the SAPC by making the drop-off rate adaptive. Simulations were conducted to emulate a subject’s movement in different physical scenarios—an indoor office environment and an outdoor running track. The simulation results were validated through experiments in which the transmitter, together with the sensor mounted on the subject, and the subject themselves were made to move freely within the communicable range. Results showed that the proposed protocol performs at par with the best performing SAPC corresponding to a fixed drop-off rate value. Full article
(This article belongs to the Special Issue Rechargeable Sensor Networks: Technology, Protocols, and Algorithms)
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Article
Energy-Aware Forwarding Strategies for Delay Tolerant Network Routing Protocols
J. Sens. Actuator Netw. 2016, 5(4), 18; https://doi.org/10.3390/jsan5040018 - 06 Dec 2016
Cited by 6 | Viewed by 5013
Abstract
Delay Tolerant Networking (DTN) is well suited to challenging environments, defined by the lack of reliable end-to-end communication paths to the destination. However, the available energy is not considered in the majority of existing DTN routing protocols when they make forwarding decisions. This [...] Read more.
Delay Tolerant Networking (DTN) is well suited to challenging environments, defined by the lack of reliable end-to-end communication paths to the destination. However, the available energy is not considered in the majority of existing DTN routing protocols when they make forwarding decisions. This limits both delivery probabilities and the network lifetimes in energy-constrained applications. This paper investigates energy-aware routing protocols for wildlife tracking application to transmit data from attached sensors on the animal’s back to data collection base stations. We propose three new network protocol strategies to extend common DTN routing protocols, and consider the available energy to achieve efficient utilization of the node’s energy in transmission and sensing. These strategies enhance packet delivery rates up to 13% by carefully using the limited energy resources. We simulate two different animal tracking scenarios and show that the new strategies provide significant performance improvement under different scenarios. Full article
(This article belongs to the Special Issue Rechargeable Sensor Networks: Technology, Protocols, and Algorithms)
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