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Plug-and-Play Power Resources and Agent-Based Coordination for Energy-Aware Wireless Sensor Nodes

Weddell, A. S., Teacy, W. T. L., Grabham, N. J., Merrett, G. V., Harris, N. R., Rogers, A., White, N. M. and Jennings, N. R. (2009) Plug-and-Play Power Resources and Agent-Based Coordination for Energy-Aware Wireless Sensor Nodes. In: WiSIG Wireless Sensing Showcase 2009, July 2 2009, National Physical Laboratory, Teddington, UK.

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Abstract

A major constraint of sensor network deployments is their power supply: batteries have a limited lifetime and must be replaced when depleted. Recent advances in the field of energy harvesting mean that sensor nodes can now be powered by environmental energy such as light, vibration, or temperature differences; however, the variety of environments that sensor nodes are deployed into, and their varying levels of power consumption which is dependent on their operation, dictates the type of power supply which must be fitted to the node. This demonstration includes the work done at the University of Southampton in developing a plug-and-play energy architecture for sensor nodes that can accommodate a range of power sources and stores, and agent-based coordination which allows sensor nodes to negotiate between one another to allocate sensing tasks. These capabilities allow the sensor node to be energy-aware, with a flexible energy subsystem, to make best use of their available power. The demonstration is presented in two parts: (i) a plug-and-play energy architecture which is used to power a wireless sensor node, and (ii) a decentralized negotiation algorithm that is deployed on resource-constrained sensor nodes.

Item Type:Conference or Workshop Item
Creator/Authors:
A. S. Weddell
W. T. L. Teacy
N. J. Grabham
G. V. Merrett
N. R. Harris
A. Rogers
N. M. White
N. R. Jennings
Research Group:Old ECS Groups > Intelligence, Agents, Multimedia
Current ECS Groups > Electronic and Software Systems
Current ECS Groups > Electronics and Electrical Engineerineering
Old ECS Groups > Electronic Systems and Devices Group
Old ECS Groups > Pervasive System Centre
Current ECS Groups > Agents, Interaction and Complexity
Date:2 July 2009
Information about this record:
Performance Indicator:EZ~08~08~04
Citations:Google Scholar: 1
Downloads (2010):83
ID Code:17572
Last Modified:23 Sep 2011 10:38
Deposited On:15 Jun 2009 16:48 by Weddell, Alex

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References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in this archive you will be forwarded to the paracite service. Poorly formated references will probably not work.

[1] A True System-on-Chip solution for 2.4 GHz IEEE 802.15.4 / ZigBee™ [Online], Texas Instruments Inc, Dallas, TX, 2008. Available: http://www.ti.com/cc2430/

[2] X. Jiang, J. Polastre, and D. Culler, “Perpetual environmentally powered sensor networks,” Proc. IPSN 2005, Los Angeles, CA, 2005, pp. 463-468.

[3] R. Torah, P. Glynne-Jones, J. Tudor, T. O’Donnell, S. Roy, and S. Beeby, “Self-powered autonomous wireless sensor node using vibration energy harvesting,” Measurement Scence and Technology, vol. 19, 8 pp., Oct. 2008.

[4] C. Park, and P. Chou, “AmbiMax: autonomous indoor energy harvesting platform for multi-supply wireless sensor nodes,” Proc. SECON 2006, Reston, VA, 2006, pp. 168-177.

[5] R. Morais et al., “Sun, wind and water flow as energy supply for small stationary data acquisition platforms,” Computers and Electronics in Agriculture, vol. 64, no. 2, pp. 120-132, Dec. 2008.

[6] A. Farinelli, A. Rogers, A. Petcu, and N. R. Jennings, “Decentralised Coordination of Low-Power Embedded Devices Using the Max-Sum Algorithm,” Proc. AAMAS-08, Estoril, Portugal. pp. 639-646, May 2008.

[7] P. J. Modi, W. Shen, M. Tambe, and M. Yokoo. “ADOPT: Asynchronous distributed constraint optimization with quality guarantees,” Artificial Intelligence Journal, (161):149–180, 2005.

[8] A. Petcu and B. Faltings. “DPOP: A scalable method for multiagent constraint optimization,” Proc. IJCAI’05, pp. 266–271, 2005.

[9] R. Mailler and V. Lesser, “Solving distributed constraint optimization problems using cooperative mediation,” Proc. AAMAS’04, pp. 438–445, 2004.

[10] S. Fitzpatrick and L. Meetrens, Distributed Sensor Networks: A Multiagent Perspective, pp. 257–293, Kluwer Academic, 2003.

[11] A. Rogers, D. D. Corkill, and N. R. Jennings, “Agent Technologies for Sensor Networks,” IEEE Intelligent Systems, 24 (2). pp. 13-17, 2009.

[12] A. Farinelli, A. Rogers, and N. Jennings, “Maximising Sensor Network Efficiency Through Agent-Based Coordination of Sense/Sleep Schedules,” Proc. DCOSS 2008, Santorini, Greece. IV-43-IV-56, June 2008.

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