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Reseach Article

Improved Energy Efficiency in Wireless Sensor Networks using Shortest Reliable Routing and Ant Colony Optimization

Published on May 2015 by Kaveri Sawant, Sanjeev Ghosh
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET2015 - Number 2
May 2015
Authors: Kaveri Sawant, Sanjeev Ghosh
39ad4430-0569-4bde-9748-12faab915577

Kaveri Sawant, Sanjeev Ghosh . Improved Energy Efficiency in Wireless Sensor Networks using Shortest Reliable Routing and Ant Colony Optimization. International Conference and Workshop on Emerging Trends in Technology. ICWET2015, 2 (May 2015), 19-22.

@article{
author = { Kaveri Sawant, Sanjeev Ghosh },
title = { Improved Energy Efficiency in Wireless Sensor Networks using Shortest Reliable Routing and Ant Colony Optimization },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { May 2015 },
volume = { ICWET2015 },
number = { 2 },
month = { May },
year = { 2015 },
issn = 0975-8887,
pages = { 19-22 },
numpages = 4,
url = { /proceedings/icwet2015/number2/20939-5025/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A Kaveri Sawant
%A Sanjeev Ghosh
%T Improved Energy Efficiency in Wireless Sensor Networks using Shortest Reliable Routing and Ant Colony Optimization
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET2015
%N 2
%P 19-22
%D 2015
%I International Journal of Computer Applications
Abstract

Wireless sensor networks have a wide range of potential applications to industry, science, transport, civil industry, and security. Energy efficiency and improving the network lifetime are the fundamental challenges in wireless sensor networks. Use of multiple sinks can improve the data collection resulting in improved network lifetime with reduced delay and congestion. In this paper a data collection scheme using ant colony optimization is used to address this issue which increases the network throughput and conserves energy resulting in maximum network lifetime. A typical zone based partition is applied to implement the shortest path using ant colony optimization. The residual energy of each node is assigned and the shortest path is selected using the ant colony optimization. This approach is validated through the simulations implemented in NS2.

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Index Terms

Computer Science
Information Sciences

Keywords

Mobile Sink Constrained Path Residual Energy Delay Throughput.