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dc.contributor.authorMuni, V.K.
dc.contributor.authorKandasamy, A.
dc.contributor.authorChandrasekaran, K.
dc.date.accessioned2020-03-30T10:18:17Z-
dc.date.available2020-03-30T10:18:17Z-
dc.date.issued2013
dc.identifier.citationProceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013, 2013, Vol., , pp.1017-1022en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/8257-
dc.description.abstractThe easy use of Wireless Sensor Networks has attracted applications from various fields. Day to day rise in wireless sensor network applications introduce new challenges to researchers. One such critical challenge is, optimal usage of network resources. Energy is one of the most important concerns in wireless sensor networks. Even though there has been an extensive research work done on this issue, the problem is still open with new requirements emerging every day. Exchange of control information consumes most of network resources to carry out network operations. An attempt has been made in the recent past to avoid this wastage of resources, by exploiting the properties of resource abundant sources in the network. Base station is one such source in wireless sensor network. The base station is resource abundant and less constrained network component in wireless sensor networks. The recent research works have focused more in this direction to explore the benefits of base station characteristics. In this perspective, a novel network partitioning mechanism is proposed here, to build energy efficient wireless sensor networks. The system proposed, distributes network load uniformly with little control overhead on energy resources in the network. The uniform distribution of sensor nodes in every part helps the network to distribute the load uniformly. From simulation results, it is noted that, the proposed system elevates the average lifetime of sensor nodes. � 2013 IEEE.en_US
dc.titleEnergy-efficient edge-based network partitioning scheme for wireless sensor networksen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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