Special Issue:
"Wireless Sensor Technologies and Applications" -
Sensors JournalGuest EditorDr. Feng XiaFaculty of Information Technology
Queensland University of Technology
Brisbane QLD 4001, Australia
Tel: +61-7-3138 2277
Email:
[email protected];
[email protected]Deadline for Paper submission: 31 March 2009
SummaryRecent
years have witnessed tremendous advances in 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 supply. With
the continuation of Moore’s law, they are becoming smaller, cheaper,
while more powerful and more pervasive. 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 sensors are a key enabling technology for the emerging
cyber-physical systems, which will ultimately improve the quality of
life. To realize the full potential of wireless sensors, enormous
challenges need to be addressed and significant efforts have been made
in this field.
This special issue aims to gather latest
research and development achievements in wireless sensors and to
promote their applications in real world. Original and unpublished
papers that address the most current issues and challenges are
solicited in all aspects of wireless sensors, including, but not
limited to, theoretical studies, methods, technologies, prototypes, and
practical applications.
KeywordsWireless
Sensor/Actuator Network, Sensor Web, Sensor Network, Sensor Design,
Cyber-Physical System, Smart Space, Pervasive Computing.
Submitted Papers
Title: TinyONet: A Cache-Based Sensor Network Bridge Enabling Sensing Data Reusability and Customized Wireless Sensor Network Services
Author: Eui-Hyun Jung 1 and Yong-Jin Park 2,*
1
Department of Computer Science, Anyang University / Samseong-ri,
Buleun-myeon, Ganghwagun, Inchon, 417-833, Korea; E-Mail:
[email protected]2 Department of Electronics and Computer Engineering, Hanyang University / Haengdang-dong, Sungdong-gu, Seoul, 133-791, Korea
* Author to whom correspondence should be addressed; E-Mail:
[email protected]; Tel.:+82-2-2220-0355, Fax:+82-2-2220-4788
Received: 9 September 2008 / Accepted: / Published:
Abstract: In
recent years, a few protocol bridge research projects have been
announced to enable a seamless integration of Wireless Sensor Networks
(WSNs) with the TCP/IP network. These studies have ensured the
transparent end-to-end communication between two network sides in a
node-centric manner. Researchers expect this integration will trigger
the development of various application domains. However, prior research
has not fully explored some essential features for WSNs, especially the
reusability of sensing data and the data-centric communication. To
resolve these issues, we suggested a new protocol bridge system named
TinyONet. In TinyONet, virtual sensors play roles as virtual
counterparts of physical sensors and they dynamically group to make a
functional entity, Slice. Instead of direct interaction with individual
physical sensors, each sensor application uses its own WSN service
provided by Slices. If a new kind of service is required in TinyONet,
the corresponding function can be dynamically added without system
stop. Beside the data-centric communication, it also supports the
node-centric communication and the synchronous access. In order to show
the effectiveness of the system, we implemented TinyONet on an embedded
Linux machine and evaluated it under several experimental scenarios.
Keywords: Wireless Sensor Networks; Protocol bridge; Data-centric communication; Virtual counterpart.
Title: A Distributed Energy-aware Routing Protocol for Underwater Wireless Sensor Networks
Author: Mari Carmen Domingo
Technical University of Catalonia/Telematics Engineering Department, Barcelona, Spain; Email:
[email protected]
Received: 17 September 2008 / Accepted: / Published:
Abstract: The
design of routing protocols for Underwater Wireless Sensor Networks
(UWSNs) poses many challenges due to the intrinsic properties of
underwater environments. In this paper we present DUCS (Distributed
Underwater Clustering Scheme), a new GPS-free routing protocol that
does not use flooding techniques, minimizes the proactive routing
message exchange and uses data aggregation to eliminate redundant
information. Besides, DUCS assumes random node mobility and compensates
the high propagation delays of the underwater medium using a
continually adjusted timing advance combined with guard time values to
minimize data loss. The theoretical and simulation studies carried out
demonstrate its effectiveness.
Keywords: acoustic communications, routing, energy efficiency, underwater networking
Planned Papers
Title: Opportunistic concurrent transmissions under shadowing channels
Authors: Shiwen Mao and In Keun Son
Dept.
of Electrical and Computer, Engineering, Auburn University, Auburn, AL
36849, USA, Seung Min Hur: USE Lab, Center for u-manufacturing,
POSTECH, Pohang, 790-784, Republic of Korea Jeffrey H. Reed: Dept. of
Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA
24061, USA
Abstract: (tentative) In
this paper, we study the exposed terminal problem in multi-hop wireless
networks with log-normal shadowing channels. Assuming
thatlocation information is known, we first calculate the success
probability for the concurrent transmissions from exposed nodes.
We then propose a new MAC protocol which schedules concurrent
transmissions in the presence of log-normal shadowing, thus mitigating
the exposed terminal problem and increasing network throughput.
The performance of the proposed protocol is evaluated with ns-2
simulations, and it is shown to achieve considerable improvements in
both end-to-end throughput and delay over the IEEE 802.11 MAC.
Title: Energy Options for Powering Wireless Sensor NodesAuthor:
Sam BehrensProject
Leader, CSIRO | Energy Technology, PO Box 330, Newcastle NSW 2300,
Australia, 10 Murray Dwyer Circuit, Steel River Industrial Park,
Mayfield West NSW 2304, Australia T +61 2 4960 6133 | F +61 2 4960
6111;
[email protected] | www.csiro.au
Abstract:
Reduction in size and power consumption of consumer electronics has
opened up many opportunities for low power wireless sensor networks.
One of the major challenges is in supporting battery operated devices
as the number of nodes in a network grows. The two main alternatives
are to utilize higher energy density sources of energy, or to generate
power at the node from local forms of energy. This paper reviews the
state-of-the art technology in the field of both energy storage and
energy harvesting. The options discussed for energy storage include
batteries, capacitors, fuel cells, heat engines and betavoltaic
systems. The field of energy harvesting is discussed with reference to
photovoltaics, temperature gradients, fluid flow, pressure variations
and vibration harvesting.
Title: Clustering Wireless SensorsAuthors: Fehmi Ben Abdesslem 1, Marcelo Dias de Amorim 1 and Artur Ziviani 2 1 UPMC Univ Paris 06, LIP6/CNRS, 104 avenue du President Kennedy, F-75016, Paris, France
2 LNCC, Av. Getulio Vargas 333, 25651-075 Petropolis, RJ, Brazil
Abstract:
Partitioning large-scale sensor networks into small groups of nodes
(clusters) stands as a convenient way to manage sensors and solve
scalability issues. When a large number of nodes are randomly deployed,
the design of appropriate clustering techniques has been the subject of
many research works for more than two decades. Depending on the
context, different criteria may be considered to drive cluster
formation, such as the diameter and size of clusters, clusters
stability, or energy consumption. In this paper, we review clustering
algorithms for wireless sensor networks. We also classify existing
solutions according to the considered context and the criteria used to
evaluate each solution.
Title: Power Sources for Wireless Sensor Nodes Based on Piezoelectric and Magnetoelectric Thin/Thick Film Structures Authors: Hyunuk Kim 1, Jungho Ryu 2, Chee-Sung Park 1, Jong-Jin Choi 2, Dong-Soo Park 2 and Shashank Priya 1 1
CEHMS, Dept. of Materials Science and Engineering, Virginia Polytechnic
Institute and State University, Blacksburg, VA 24061, USA
2 Functional Ceramics Research Group, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam 641-831, Korea
Abstract:
In this manuscript, we review the progress made in synthesis of
thin/thick films based piezoelectric and magnetoelectric structures for
harvesting energy from mechanical vibrations and magnetic field. The
manuscript also discusses the success in integrating energy harvesters
with wireless sensor nodes. Piezoelectric compositions in the system
Pb(Zr,Ti)O3 – Pb(Zn1/3Nb2/3)O3 (PZNT) have shown promise for providing
enhanced efficiency due to higher energy density and thus form the base
of transducers designed for capturing the mechanical energy. Laminate
structures of PZNT with magnetostrictive ferrite materials provide
large magnitudes of magnetoelectric constant and are being targeted to
capture the stray magnetic field energy. We analyze the models used to
predict the performance of the energy harvesters and present a full
system description that incorporates the conditioning circuit, storage
media, and sensor node.
Title: Indoor Positioning Systems and applications for Wireless Sensor NetworksAuthors: Jaime Lloret, Fernando Boronat, Jesus Tomas and Miguel GarciaDepartment
of Communications, Polytechnic University of Valencia, Camino Vera s/n,
46022, Valencia (Spain). Phone: +34 609549043, Fax: +34 962849313.
E-mail:
[email protected]Abstract:
Currently, Indoor Positioning Systems are used in many application
areas, specially using wireless sensor networks. While the need of
these systems is widely proved, there is a clear lack of accuracy. Many
implemented applications have too high error in their location
estimation. In this paper, we propose two methods and show their real
implementation for locating wireless sensors. Then, the main existing
systems and the most known applications developed for Indoor
Positioning Systems will be described in detail. Drawbacks and benefits
for each one are also shown. Finally, the paper also compares the main
existing deployments with both applications developed by the authors to
demonstrate that one of our proposals obtains the best results.
Tentative Title: Dynamic Cluster-Based Sleep Scheduling for Wireless Ad-Hoc Sensor NetworksAuthors: Chih-Yu Wen and Ying-Chih Chen
Department
of Electrical Engineering, Graduate Institute of Communication
Engineering, National Chung Hsing University, Taiwan R.O.C.; Tel:
+886-4-22851549 ext.811, Fax: +886-4-22851410; Email:
[email protected]
Abstract:
This paper presents two adaptive power management schemes for wireless
sensor networks, which manage the sensors by utilizing the hierarchical
network structure and allocate network resources efficiently. A local
criteria is used to simultaneously undertake the sensing coverage and
connectivity such that dynamic cluster-based sleep scheduling can be
achieved. The proposed schemes are simulated and analyzed to abstract
the network behaviors in a number of settings. The experimental results
show that the proposed algorithms provide efficient network power
control and achieve high scalability in wireless sensor networks.
Title: Wireless Sensor Technologies and Applications in agriculture and food industry – State of the art and actual trends
Author: Luis Ruiz-Garcia
LPF-TAG
(Physical Properties and Advanced Techniques in Agrofood), ETSI
Agr�nomos, Edificio de Motores y M�quinas, Universidad Polit�cnica de
Madrid, Avda. Complutense s/n, 28040 Madrid, SPAIN, Tel: +34 913 365
862, www.lpftag.upm.es
Abstract: The
aim of the present paper is to review the technical and scientific
state of the art of wireless sensor technologies and standards for
wireless communications in Agro-food sector. These technologies are
very promising in several fields such as environmental monitoring,
precision agriculture, cold chain control or traceability. The paper
focus on WSN (Wireless Sensor Networks) and RFID (Radio Frequency
Identification), presenting the different systems available, recent
developments and examples of applications. Including ZigBee based WSN
and RFID passive, semi-passive an active devices. Future trends of
wireless communications in agriculture and food industry are also
discussed.
Tentative Title: Large Scale Environmental Monitoring through Integration of Sensor and Mesh Networks
Author: Raja Jurdak, Abdelhamid Nafaa, and Alessio Barbirato
University
College Dublin, Computer Science and Informatics A0.04, Belfield Dublin
4 Ireland Tel: +353-1-4971999, Mob:+353-85-7666905, E-mail:
[email protected], web: www.jurdak.com, book: www.books.jurdak.com
Abstract: Monitoring
outdoor environments through networks of wireless sensors has received
interest for collecting physical and chemical samples at high spatial
and temporal scales. A central challenge to environmental monitoring
applications of sensor networks is the short communication range of the
sensor nodes, which increases the complexity and cost of monitoring
commodities that are located in geographically spread areas. To address
this issue, we propose a new communication architecture that integrates
sensor networks with medium range wireless mesh networks, and provides
users with an advanced web portal for managing sensed information in an
integrated manner. The architecture adopts a holistic approach targeted
at improving the user experience by optimizing the system performance
for handling data that originates at the sensors, traverses the mesh
network, and resides at the server for user consumption. This holistic
approach enables users to adapt the resolution of information collected
at the sensors, set the preferred performance targets for their
application, and run a wide range of queries and analysis on both
real-time and historical data. All system components and processes will
be described in this paper.
Title: Design and Deployment of Wireless Sensor Network for Monitoring Power Stations (Fossil) and Substations
Author: Asis Nasipuri
Associate
Professor, Graduate Program Director, Department of Electrical &
Computer Engineering, The University of North Carolina at Charlotte,
9201 University City Boulevard, Charlotte, NC 28223-0001, Office: 222A
Woodward Hall; Phone: 704-687-8418, Fax: 704-687-4762; E-mail:
[email protected]
Abstract: to be added soon
Tentative Title: Ultra-wideband Sensors
Author: Robert Caiming Qiu
Center
for Manufacturing Research, Professor, Electrical and Computer
Engineering, Campus Box 5077, Tennessee Technological, University,
Cookeville, TN 38505-0001 USA; Office: (931) 372-3847,
Fax: (931) 372-6345; E-Mail:
[email protected]
Abstract: to be added soon
Tentative Title: Sensor systems for food processing and packaging
Author: N. Premchand Mahalik
Department
of Industrial Technology, College of Agricultural Sciences and
Technology, California State University, Fresno 2255 East Barstow
Avenue, M/S IT9 Fresno, California, CA 93740-8002 U.S.A.; Ph : +1 (559)
278-2995; Fax: +1 (559) 278-5081
Abstract: to be added soon
Tentative Title: Rapid Software Development for Embedded Systems Communications
Author: Mihail L. Sichitiu
Campus Box 7911, Dept. of Electrical and Computer Eng., North Carolina State University, Raleigh, NC 27695-7911
Abstract: to be added soon
Title: Autonomous Sensor Deployment: A Review
Author: Yuanzhu Peter Chen, Xingyan Jiang and Tina YuAssistant
Professor, Department of Computer Science, Memorial University of
Newfoundland, St. John's, NL, A1B 3X5, Canada, Phone: +1-709-737-6944;
Fax: +1-709-737-2009; Web:
http://www.cs.mun.ca/~yzchen/
Abstract: to be added soon
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http://www.mdpi.org/sensorsMDPI - Matthias Burkhalter - 18 September 2008