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M. Ezhilarasi
V. Krishnaveni



Author(s) and WSEAS

M. Ezhilarasi
V. Krishnaveni


WSEAS Transactions on Information Science and Applications


Print ISSN: 1790-0832
E-ISSN: 2224-3402

Volume 15, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



An Optimal Solution to Minimize the Energy Consumption in Wireless Sensor Networks

AUTHORS: M. Ezhilarasi, V. Krishnaveni

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ABSTRACT: Wireless Sensor Network has been widely used in all the fields for the past few years. In many recent wireless sensor network applications such as environmental monitoring, medical applications and surveillance, there is a need for providing the uninterrupted coverage of a sensing field with long instant, this is one of the obvious problem attracted many researchers as well as general users. In any aspects, the sensor nodes are energized by low powered devices; it is one of the critical aspects to reduce the energy consumption to improve the lifetime to some extent. In this research, initially we concentrated on the energy consumption for the typical sensor node component by assuming the grid network with shortest path technique. Secondly, the direction is made to conserve energy in wireless sensor networks. Special focus is given over the areas which have not yet get more attention in the literature such as data aggregation along with load balancing techniques. Extensive simulations are conducted in Network Simulator-2 to test the effectiveness of the proposed load balancing scheme. The results proved that the proposed scheme achieves over 8% energy-saving per node and the throughput improves to 18.2% with data collection through multi-hop relay. The simulation results show that, our algorithm can balance the network traffic in real-time.

KEYWORDS: WSN,Load balancing, Lifetime , Energy, Optimum Solution

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WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 15, 2018, Art. #18, pp. 147-154


Copyright Β© 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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