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http://dx.doi.org/10.14372/IEMEK.2014.9.6.361

Balancing Energy and Memory Consumption for Lifetime Increase of Wireless Sensor Network  

Kim, Tae-Rim (LIG Nex1)
Publication Information
Abstract
This paper introduces balancing energy and memory consumption for lifetime increase of wireless sensor network. In cluster-based wireless sensor network, sensor nodes adjacent of cluster heads have a tendency to deplete their own battery energy and cluster heads occupy memory space significantly. If the nodes close to region where events occur frequently consume their energy and memory fully, network might be destroyed even though most of nodes are still alive. Therefore, it needs to balance network energy and memory with consideration of event occurrence probability so that network lifetime is increased. We show a method of balancing wireless sensor network energy and memory to organize cluster groups and elect cluster heads in terms of event occurrence probability.
Keywords
Wireless sensor network; Resource optimization; Energy-constrained embedded system; System modeling; Network management;
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1 C. Alippi, C. Galperti, "An adaptive system for optimal solar energy harvesting in wireless sensor network nodes," IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 55, No. 6, pp. 1742-1750, 2008.   DOI   ScienceOn
2 M. Younis, M. Youssef, K. Arisha, "Energy-aware routing in cluster-based sensor networks," Proceedings of the 10th IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, 2002.
3 V.P. Mhatre, C. Rosenberg, D. Kofman, R. Mazumdar, N. Shroff, "A minimum cost heterogeneous sensor network with a lifetime constraint," IEEE Transactions on Mobile Computing, Vol. 4, No. 1, pp. 4-15, 2005.   DOI   ScienceOn
4 T. He, S. Krishnamurthy, L. Luo, T. Yan, L. Gu, R. Stoleru, G. Zhou, Q. Cao, P. Vicaire, J. A. Stankovic, T.F. Abdelzaher, J. Hui, B. Krogh, "Vigilnet: An integrated sensor network system for energy-efficient surveillance," ACM Transactions on Sensor Networks, Vol. 2, No. 1, pp. 1-38, 2005.
5 S.R. Gandham, M. Dawande, R. Prakash, S. Venkatesan, "Energy efficient schemes for wireless sensor networks with multiple mobile base stations," Proceedings of the IEEE Globecom, Vol. 1, pp. 377-381, 2003.
6 W. Chen, J.C. Hou, L. Sha, "Dynamic clustering for acoustic target tracking in wireless sensor networks," IEEE Transactions on Mobile Computing, Vol. 3, No. 3, pp. 258-271, 2004.   DOI   ScienceOn
7 M. Ye, C.F. Li, G.H. Chen, J. Wu, "EECS: An energy efficient clustering scheme in wireless sensor networks," Proceedings of IEEE International Performance, Computing and Communications Conference, pp. 535-540, 2005.
8 M. Farach-Colton, A.F. Anta, M.A. Mosteiro, "Optimal memory-aware sensor network gossiping," Theoretical Computer Science, Vol. 472, pp. 60-80, 2013.   DOI
9 W.R. Heinzelman, A. Chandrakasan, H. Balakrishnan, "Energy-efficient communication protocol for wireless microsensor networks," Proceedings of IEEE Hawaii International Conference on System Sciences, 2000.
10 I. Rhee, M. Shin, S. Hong, K. Lee, S. Kim, S. Chong, "On the levy-walk nature of human mobility," IEEE/ACM Transactions on Networking, Vol. 19, No. 3, pp.630-643, 2011.   DOI   ScienceOn