Improving Lifetime of WSNs Using Energy-Efficient Information Gathering Algorithms and Magnetic Resonance
Advances in Wireless Communications and Networks
Volume 1, Issue 2, July 2015, Pages: 11-16
Received: Oct. 8, 2015; Accepted: Oct. 26, 2015; Published: Oct. 27, 2015
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Authors
Manish Bhardwaj, Computer Science and Engineering Department, SRM University, Ghaziabad, India
Jinee Kumar, Computer Science and Engineering Department, SRM University, Ghaziabad, India
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Abstract
This paper introduce the concept of the energy-efficient Information gathering algorithms for improving lifetime of WSNs and wirelessly recharge the sensor nodes. Here we have assumed that the sensor nodes and base-station are not mobile. The more over location and initial energy of the sensor nodes is known and number of sensor nodes is randomly distributed over a monitoring region. For the heterogeneity the three types of nodes: a normal, advanced and super node with some fraction in terms of their initial energy has been taken. In this work, we have proposed new distributed energy efficient algorithms PEIPSH and ILBPSH, based on the distance from the base station and sensor residual energy as well as scheduling of sensor nodes to alternate between sleep and active mode. The simulation results shows that the proposed algorithms PEIPSH and ILBPSH balance the energy dissipation over the whole network and improve the network lifetime.
Keywords
Wireless Sensor Networks, Targets Coverage, Adjustable Sensing Range, Heterogeneity, Maximize Lifetime
To cite this article
Manish Bhardwaj, Jinee Kumar, Improving Lifetime of WSNs Using Energy-Efficient Information Gathering Algorithms and Magnetic Resonance, Advances in Wireless Communications and Networks. Vol. 1, No. 2, 2015, pp. 11-16. doi: 10.11648/j.awcn.20150102.11
Copyright
Copyright © 2015 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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