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Agent Technologies for Sensor Networks
March/April 2009 (vol. 24 no. 2)
pp. 13-17
ASCII Text
x 
 
Alex Rogers, Daniel D. Corkill, Nicholas R. Jennings, "Agent Technologies for Sensor Networks," IEEE Intelligent Systems, vol. 24, no. 2, pp. 13-17, March/April, 2009.
 
 
BibTex
x
 
@article{ 10.1109/MIS.2009.22,
author = {Alex Rogers and Daniel D. Corkill and Nicholas R. Jennings},
title = {Agent Technologies for Sensor Networks},
journal ={IEEE Intelligent Systems},
volume = {24},
number = {2},
issn = {1541-1672},
year = {2009},
pages = {13-17},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2009.22},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - Agent Technologies for Sensor Networks
IS - 2
SN - 1541-1672
SP13
EP17
EPD - 13-17
A1 - Alex Rogers,
A1 - Daniel D. Corkill,
A1 - Nicholas R. Jennings,
PY - 2009
KW - wireless sensor network
KW - agents
KW - decentralized coordination
VL - 24
JA - IEEE Intelligent Systems
ER -
 
Alex Rogers, University of Southampton
Daniel D. Corkill, University of Massachusetts Amherst
Nicholas R. Jennings, University of Southampton
Wireless sensor networks are increasingly seen as a solution to the problem of performing continuous wide-area monitoring in many environmental, security, and military scenarios. The distributed nature of such networks and the autonomous behavior expected of them present many novel challenges. In this article, the authors argue that a new synthesis of electronic engineering and agent technology is required to address these challenges, and they describe three examples where this synthesis has succeeded. In more detail, they describe how these novel approaches address the need for communication and computationally efficient decentralized algorithms to coordinate the behavior of physically distributed sensors, how they enable the real-world deployment of sensor agent platforms in the field, and finally, how they facilitate the development of intelligent agents that can autonomously acquire data from these networks and perform information processing tasks such as fusion, inference, and prediction.

1. A. Farinelli et al., "Decentralized Coordination of Low-Power Embedded Devices Using the Max-Sum Algorithm," Proc. 7th Int'l Conf. Autonomous Agents and Multiagent Systems (AAMAS 08), ACM Press, 2008 pp. 639–646.
2. D.D. Corkill, D. Holzhauer, and W. Koziarz, "Turn Off Your Radios! Environmental Monitoring Using Power-Constrained Sensor Agents," Proc. 1st Int'l Workshop Agent Technology for Sensor Networks (ATSN 07), May 2007 pp. 31–38; www.atsm07.org.
3. D.D. Corkill, "Reporting Down Under: A CNAS (Collaborative Network for Atmospheric Sensing) Update," Proc. 2nd Int'l Workshop Agent Technology for Sensor Networks (ATSN 08), 2008 pp. 25–32; www.atsm08.org
4. A. Rogers et al., "Information Agents for Pervasive Sensor Networks," Proc. 6th Ann. IEEE Int'l Conf. Pervasive Computing and Communications (PerCom 08), IEEE CS Press, 2008 pp. 294–299.
5. M.A. Osborne et al., "Towards Real-Time Information Processing of Sensor Network Data Using Computationally Efficient Multi-Output Gaussian Processes," Proc. 8th Int'l Conf. Information Processing in Sensor Networks (IPSN 08), IEEE Press, 2008 pp. 109–120.

Index Terms:
wireless sensor network, agents, decentralized coordination
Citation:
Alex Rogers, Daniel D. Corkill, Nicholas R. Jennings, "Agent Technologies for Sensor Networks," IEEE Intelligent Systems, vol. 24, no. 2, pp. 13-17, Mar./Apr. 2009, doi:10.1109/MIS.2009.22
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