Commenced in January 2007
Paper Count: 31100
Agent-based Framework for Energy Efficiency in Wireless Sensor Networks
Abstract:Wireless sensor networks are consisted of hundreds or thousands of small sensors that have limited resources. Energy-efficient techniques are the main issue of wireless sensor networks. This paper proposes an energy efficient agent-based framework in wireless sensor networks. We adopt biologically inspired approaches for wireless sensor networks. Agent operates automatically with their behavior policies as a gene. Agent aggregates other agents to reduce communication and gives high priority to nodes that have enough energy to communicate. Agent behavior policies are optimized by genetic operation at the base station. Simulation results show that our proposed framework increases the lifetime of each node. Each agent selects a next-hop node with neighbor information and behavior policies. Our proposed framework provides self-healing, self-configuration, self-optimization properties to sensor nodes.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1081089Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1351
 W.R.Heinzelman, A.Chandrakasan, and H.Balakrishnan, "Energy-Efficient Communication Protocol for Wireless Microsensor Networks", In Proceedings of the 33rd Hawaii International Conference on System Sciences, 2000.
 Min Chen, Taekyoung Kwon, Yong Yuan, and Victor C.M. Leung, "Mobile Agent Based Wireless Sensor Networks", In Journal of Computers, Vol. 1, NO. 1, pp.14-21, April 2006.
 Tracy Mullen, Viswanath Avasarala, and David L. Hall, "Custom-Driven Sensor Management", In IEEE INTELLIGENT SYSTEMS, Vol. 21, NO. 2, pp. 41-49, March/April 2006.
 Geoffrey Mainland, David C. Parkes, and Matt Welsh, "Decentralized, Adaptive Resource Allocation for Sensor Networks", In Proceedings of the 2nd USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI 2005), May 2005.
 Pruet Boonma, and Junichi Suzuki, "BiSNET: A biologically-inspired middleware architecture for self-managing wireless sensor networks", In Computer Networks, Vol.51, NO.16, pp.4599-4616, 2007.
 Pruet Boonma, and Junichi Suzuki, "MONSOON: A Coevolutionary Multiobjective Adaptation Framework for Dynamic Wireless Sensor Networks", In Proceedings of the 41st Hawaii International Conference on System Sciences, 2008.
 Pruet Boonma, and Junichi Suzuki, "Exploring Self-star Properties in Cognitive Sensor Networking", In Proc. of IEEE/SCS International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS), Edinburgh, UK, June 2008.
 Ronan Mac Ruairi, and Mark T. Keane, "An Energy-Efficient, Multi-Agent Sensor Network for Detecting Diffuse Events", In IJCAI, pp 1390-1395, 2007.
 Chien-Liang Fok, Gruia-Catalin Roman, and Chenyang Lu, "Rapid Development and Flexible Deployment of Adaptive Wireless Sensor Network Applications", In Proceedings of the 25th IEEE International Conference on Distributed Computing Systems (ICDCS), pp. 653-662, 2005.
 Hongliang Ren, and Max Q.-H. Meng, "Biologically Inspired Approaches for Wireless Sensor Networks", In Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation, June 25 - 28, 2006, Luoyang, China.
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