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<article xmlns:xlink="http://www.w3.org/1999/xlink" xml:lang="en" article-type="editorial">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Sensors</journal-id>
<journal-title>Sensors</journal-title>
<issn pub-type="epub">1424-8220</issn>
<publisher>
<publisher-name>Molecular Diversity Preservation International (MDPI)</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3390/s91108824</article-id>
<article-id pub-id-type="publisher-id">sensors-09-08824</article-id>
<article-categories>
<subj-group>
<subject>Editorial</subject></subj-group></article-categories>
<title-group>
<article-title>Wireless Sensor Technologies and Applications</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Xia</surname><given-names>Feng</given-names></name></contrib>
<aff id="af1-sensors-09-08824">School of Software, Dalian University of Technology, Dalian 116620, China; E-Mail: <email>f.xia@ieee.org</email></aff></contrib-group>
<pub-date pub-type="epub">
<day>4</day>
<month>11</month>
<year>2009</year></pub-date>
<pub-date pub-type="collection">
<year>2009</year></pub-date>
<volume>9</volume>
<issue>11</issue>
<fpage>8824</fpage>
<lpage>8830</lpage>
<history>
<date date-type="received">
<day>20</day>
<month>10</month>
<year>2009</year></date>
<date date-type="rev-recd">
<day>31</day>
<month>10</month>
<year>2009</year></date>
<date date-type="accepted">
<day>2</day>
<month>11</month>
<year>2009</year></date></history>
<permissions>
<copyright-statement>© 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.</copyright-statement>
<copyright-year>2009</copyright-year>
<license>
<p>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/).</p></license></permissions></article-meta></front>
<body>
<p>Recent years have witnessed tremendous advances in the design and applications of wirelessly networked and embedded sensors. Wireless sensor nodes are typically low-cost, low-power, small devices equipped with limited sensing, data processing and wireless communication capabilities, as well as power supplies. They leverage the concept of wireless sensor networks (WSNs), in which a large (possibly huge) number of collaborative sensor nodes could be deployed. As an outcome of the convergence of micro-electro-mechanical systems (MEMS) technology, wireless communications, and digital electronics, WSNs represent a significant improvement over traditional sensors. In fact, the rapid evolution of WSN technology has accelerated the development and deployment of various novel types of wireless sensors, e.g., multimedia sensors. Fulfilling Moore's law, wireless sensors are becoming smaller and cheaper, and at the same time more powerful and ubiquitous.</p>
<p>As shown in <xref ref-type="fig" rid="f1-sensors-09-08824">Figure 1</xref>, there are typically four main components in a sensor node [<xref ref-type="bibr" rid="b1-sensors-09-08824">1</xref>], i.e., a sensing unit, a processing unit, a communication unit, and power supply. The sensing unit may be composed of one or more sensors and Analog-to-Digital Converters (ADCs). Sensors are hardware devices that measure some physical data of the monitored system's state such as temperature, humidity, pressure, or speed. The analog signals produced by the sensors are digitized by ADCs and sent to the processing unit for further processing. Within the processing unit, there is a microcontroller associated with a small storage unit including on-chip memory and flash memory. The processing unit is responsible for performing tasks, processing data, and controlling the functionality of other components of the sensor node. A wireless sensor connects with other nodes via the communication unit, where a transceiver encompasses the functionality of both transmitter and receiver. The wireless transmission media may be radio frequency, optical (laser), or infrared. At present, the main type of power supply for wireless sensor node are sbatteries, either rechargeable or non-rechargeable. Energy is consumed for sensing, data processing, and communication. For small wireless sensor nodes (with limited computing capacity), data communication will expend the majority of energy, while sensing and data processing are much less energy-consuming.</p>
<p>In the past one and a half decades, a number of prototype and commercial wireless sensor nodes have been made available by research institutions and companies from around the world. Although these sensor nodes often differ in capacity and feature, most (if not all) of them have been built upon the architecture given in <xref ref-type="fig" rid="f1-sensors-09-08824">Figure 1</xref>. <xref ref-type="table" rid="t1-sensors-09-08824">Table 1</xref> gives a list of some available wireless sensor nodes.</p>
<p>The proliferation of these products opens up unprecedented opportunities for a wide variety of scientific, industrial, agricultural, commercial and military applications, such as health care, smart transportation, emergency response, home automation, social studies, critical infrastructure protection, and target tracking, just to mention a few. In particular, wireless sensor and actuator networks are a key enabling technology for cyber-physical systems [<xref ref-type="bibr" rid="b2-sensors-09-08824">2</xref>,<xref ref-type="bibr" rid="b3-sensors-09-08824">3</xref>], which will ultimately improve the quality of our lives. To realize the full potential of wireless sensors, enormous challenges need to be addressed and significant efforts have been made in this field.</p>
<sec>
<title>In This Issue</title>
<p>The objective of this Special Issue was to gather the latest research and development achievements in the field of wireless sensors and to promote their real world applications. Special attention is paid to several important aspects of wireless sensor technologies, i.e., sensor networking, localization, and power management, as well as design, implementation, and applications of wireless sensors. The issue includes a total of 46 high-quality papers, which are expected to give the readers some insight into the current state of the art</p>
<p>A considerable portion of these papers deal with diverse issues in sensor networking. Qiu <italic>et al.</italic> [<xref ref-type="bibr" rid="b4-sensors-09-08824">4</xref>] introduce a unified multi-functional dynamic spectrum access framework. Jung and Park [<xref ref-type="bibr" rid="b5-sensors-09-08824">5</xref>] propose a cache-based sensor network bridge, which enables sensing data reusability and customized WSN services. Hung <italic>et al.</italic> [<xref ref-type="bibr" rid="b6-sensors-09-08824">6</xref>] present an energy-efficient secure routing and key management scheme for mobile sinks in sensor networks. Availability and end-to-end reliability in low duty cycle multi-hop WSNs are addressed by Suhonen <italic>et al.</italic> in [<xref ref-type="bibr" rid="b7-sensors-09-08824">7</xref>]. A MAC-aware data aggregation method is proposed in [<xref ref-type="bibr" rid="b8-sensors-09-08824">8</xref>] by Li and co-workers to minimize the total energy consumption of data transmission. Qiu <italic>et al.</italic> [<xref ref-type="bibr" rid="b9-sensors-09-08824">9</xref>] propose the priority-based coverage-aware congestion control algorithm which is distributed, priority-distinct, and fair. Amin <italic>et al.</italic> [<xref ref-type="bibr" rid="b10-sensors-09-08824">10</xref>] design a robust intrusion detection system for IP-based sensor networks. Son <italic>et al.</italic> [<xref ref-type="bibr" rid="b11-sensors-09-08824">11</xref>] study the problem of how to alleviate the exposed terminal effect in multihop wireless networks in the presence of log-normal shadowing channels. Other topics examined include distributed joint source-channel coding [<xref ref-type="bibr" rid="b12-sensors-09-08824">12</xref>], network coverage [<xref ref-type="bibr" rid="b13-sensors-09-08824">13</xref>,<xref ref-type="bibr" rid="b14-sensors-09-08824">14</xref>], sensor deployment [<xref ref-type="bibr" rid="b15-sensors-09-08824">15</xref>,<xref ref-type="bibr" rid="b16-sensors-09-08824">16</xref>], fault detection [<xref ref-type="bibr" rid="b17-sensors-09-08824">17</xref>], and security [<xref ref-type="bibr" rid="b18-sensors-09-08824">18</xref>-<xref ref-type="bibr" rid="b20-sensors-09-08824">20</xref>]. Some important aspects of WSNs are reviewed in [<xref ref-type="bibr" rid="b21-sensors-09-08824">21</xref>] and [<xref ref-type="bibr" rid="b22-sensors-09-08824">22</xref>].</p>
<p>The knowledge of position is indispensable for many applications and services provided by WSNs. Teng <italic>et al.</italic> [<xref ref-type="bibr" rid="b23-sensors-09-08824">23</xref>] introduce a range-free, distributed and probabilistic mobile beacon-assisted localization approach for static WSNs. They also present an improved version of the approach. Pei <italic>et al.</italic> [<xref ref-type="bibr" rid="b24-sensors-09-08824">24</xref>] propose an anchor-free localization method for mobile targets based on non-metric multi-dimensional scaling and rank sequence. A network-based mobility scheme for mobile 6LoWPAN nodes is presented by Bag <italic>et al</italic> [<xref ref-type="bibr" rid="b25-sensors-09-08824">25</xref>]. Lloret <italic>et al.</italic> [<xref ref-type="bibr" rid="b26-sensors-09-08824">26</xref>] propose a hybrid stochastic approach to self-location of wireless sensors in indoor environments. Jeon <italic>et al.</italic> [<xref ref-type="bibr" rid="b27-sensors-09-08824">27</xref>] propose a sink-oriented dynamic location service for handling sink mobility.</p>
<p>Saving energy is of paramount importance for wireless sensors. Knight <italic>et al.</italic> [<xref ref-type="bibr" rid="b28-sensors-09-08824">28</xref>] review the state-of-the art technology in the field of both energy storage and energy harvesting for sensor nodes. Priya <italic>et al.</italic> [<xref ref-type="bibr" rid="b29-sensors-09-08824">29</xref>] review the progress made in the synthesis of thick film-based piezoelectric and magnetoelectric structures for harvesting energy from mechanical vibrations and magnetic field. The problem of sensor scheduling with a mobile sink is studied by Maheswararajah <italic>et al.</italic> [<xref ref-type="bibr" rid="b30-sensors-09-08824">30</xref>], with focus on minimizing the total energy consumed by sensor nodes while avoiding measurement losses. Two sleep scheduling management schemes for WSNs are presented in [<xref ref-type="bibr" rid="b31-sensors-09-08824">31</xref>]. In [<xref ref-type="bibr" rid="b32-sensors-09-08824">32</xref>], high-resolution images with a wide field of view are generated with minimum energy dissipation. An adjacency matrix-based transmit power control method is presented by Consolini <italic>et al.</italic> in [<xref ref-type="bibr" rid="b33-sensors-09-08824">33</xref>].</p>
<p>Several papers are about the design of application-oriented sensors. In [<xref ref-type="bibr" rid="b34-sensors-09-08824">34</xref>] Wang <italic>et al.</italic> develop a passive wireless temperature sensor, capable of working in harsh environments and suitable for monitoring high temperature rotating components. A wireless sensor node for precision horticulture which permits the use of precision agricultural instruments based on the SDI-12 standard is developed in [<xref ref-type="bibr" rid="b35-sensors-09-08824">35</xref>]. Rodrigues <italic>et al.</italic> [<xref ref-type="bibr" rid="b36-sensors-09-08824">36</xref>] present the design and implementation of an intra-body sensor for acquisition and monitoring of intra-vaginal temperatures. Bartolozzi and Indiveri [<xref ref-type="bibr" rid="b37-sensors-09-08824">37</xref>] present a neuromorphic VLSI device, i.e., the Selective Attention Chip, which can be used in multi-chip address-event systems.</p>
<p>Sensor-based applications have been reported in a number of papers. Jurdak <italic>et al.</italic> [<xref ref-type="bibr" rid="b38-sensors-09-08824">38</xref>] propose to integrate sensor networks with medium range wireless mesh networks to realize large scale environmental monitoring. Song <italic>et al.</italic> [<xref ref-type="bibr" rid="b39-sensors-09-08824">39</xref>] develop a mobile sensor network system for monitoring applications in unfriendly environments. Key technologies for wireless monitoring of intelligent automobile tires are discussed in [<xref ref-type="bibr" rid="b40-sensors-09-08824">40</xref>]. Wang and Niu [<xref ref-type="bibr" rid="b41-sensors-09-08824">41</xref>] propose a method for spatial forecast of landslides in Three Gorges using the spatial data mining technology. Raza <italic>et al.</italic> [<xref ref-type="bibr" rid="b42-sensors-09-08824">42</xref>] present a web portal framework for sensor-based applications in pervasive computing environments. Zhang <italic>et al.</italic> [<xref ref-type="bibr" rid="b43-sensors-09-08824">43</xref>] introduce a two-stage approach to the detection of people eating and/or drinking for the purpose of living surveillance. The design and evaluation of a WSN based aircraft strength testing system is reported in [<xref ref-type="bibr" rid="b44-sensors-09-08824">44</xref>]. Water monitoring using wireless sensors is reported in [<xref ref-type="bibr" rid="b45-sensors-09-08824">45</xref>]. Handcock <italic>et al.</italic> [<xref ref-type="bibr" rid="b46-sensors-09-08824">46</xref>] realize the monitoring of animal behaviour and environmental interactions using ground-based sensors, GPS collars and satellite remote sensing. The relevance of using open hardware and software motes for environment monitoring is assessed by Bagula <italic>et al</italic> [<xref ref-type="bibr" rid="b47-sensors-09-08824">47</xref>]. Antoine-Santoni <italic>et al.</italic> [<xref ref-type="bibr" rid="b48-sensors-09-08824">48</xref>] deal with a WSN as a reliable solution for capturing the kinematics of a fire front spreading over a fuel bed. Wireless sensor technologies and applications in agriculture and food industry are reviewed in [<xref ref-type="bibr" rid="b49-sensors-09-08824">49</xref>].</p>
<p>It is my hope that the readers would find this Special Issue interesting and useful in their research and development work. I would like to express my whole-hearted thanks to all the authors who have submitted their papers to this issue. I am also very grateful to all the reviewers for their valuable comments and suggestions that guarantee the quality of the papers published. Finally, I want to thank Dr. Ophelia Han, Mr. Dietrich Rordorf, Mr. Matthias Burkhalter, Dr. Shu-Kun Lin and their staff at the Sensors Editorial Office for their great support and the opportunity to run this Special Issue.</p></sec></body>
<back>
<ack>
<p>The work of the author is partially supported by Natural Science Foundation of China under Grant No. 60903153.</p></ack>
<ref-list>
<title>References and Notes</title>
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<sec sec-type="display-objects">
<title>Figure and Table</title>
<fig id="f1-sensors-09-08824" position="float">
<label>Figure 1.</label>
<caption>
<p>Wireless sensor architecture.</p></caption>
<graphic xlink:href="sensors-09-08824f1.gif"/></fig>
<table-wrap id="t1-sensors-09-08824" position="float">
<label>Table 1.</label>
<caption>
<p>Some available wireless sensor nodes.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" valign="bottom"><bold>Node</bold></th>
<th align="center" valign="bottom"><bold>Sensing Unit</bold></th>
<th align="center" valign="bottom"><bold>Microcontroller</bold></th>
<th align="center" valign="bottom"><bold>Memory</bold></th>
<th align="center" valign="bottom"><bold>Transceiver</bold></th></tr></thead>
<tbody>
<tr>
<td align="center" valign="top">BTnode</td>
<td align="center" valign="top">UART, SPI, I2C, GPIO, ADC, etc</td>
<td align="center" valign="top">ATmega 128L</td>
<td align="center" valign="top">4KB EEPROM, 64KB SRAM, 128KB FLASH</td>
<td align="center" valign="top">Chipcon CC1000; Zeevo ZV4002 Bluetooth</td></tr>
<tr>
<td align="center" valign="top">FireFly</td>
<td align="center" valign="top">Sensor expansion card: temperature, light, acoustic, etc</td>
<td align="center" valign="top">ATmega 1281</td>
<td align="center" valign="top">8KB RAM, 128KB ROM</td>
<td align="center" valign="top">Chipcon CC2420</td></tr>
<tr>
<td align="center" valign="top">IMote2</td>
<td align="center" valign="top">UART, SPI, I2C, SDIO, GPIO, etc</td>
<td align="center" valign="top">Intel PXA271</td>
<td align="center" valign="top">256KB SRAM, 32MB FLASH, 32MB SDRAM</td>
<td align="center" valign="top">CC2420</td></tr>
<tr>
<td align="center" valign="top">MicaZ</td>
<td align="center" valign="top">Expansion connector for light, pressure, acceleration, etc</td>
<td align="center" valign="top">ATmega 128L</td>
<td align="center" valign="top">4KB RAM, 128KB FLASH</td>
<td align="center" valign="top">CC2420</td></tr>
<tr>
<td align="center" valign="top">SunSPOT</td>
<td align="center" valign="top">Temperature, light, acceleration, etc</td>
<td align="center" valign="top">ARM 920T</td>
<td align="center" valign="top">512KB RAM, 4MB FLASH</td>
<td align="center" valign="top">CC2420</td></tr>
<tr>
<td align="center" valign="top">TinyNode584</td>
<td align="center" valign="top">On-board temperature sensor</td>
<td align="center" valign="top">TI MSP430</td>
<td align="center" valign="top">10KB SRAM, 48KB FLASH</td>
<td align="center" valign="top">Xemics XE1205</td></tr>
<tr>
<td align="center" valign="top">Tmote Sky</td>
<td align="center" valign="top">On-board humidity, temperature and light sensors</td>
<td align="center" valign="top">TI MSP430</td>
<td align="center" valign="top">10KB RAM, 48KB FLASH</td>
<td align="center" valign="top">CC2420</td></tr></tbody></table></table-wrap></sec></back></article>
