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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Manish Bhardwaj, Computer Science and Engineering Department, SRM University, Ghaziabad, India
Jinee Kumar, Computer Science and Engineering Department, SRM University, Ghaziabad, India
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.
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.
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