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Improved Harmony Search Algorithm with Ant Colony Optimization Algorithm to Increase the Lifetime of Wireless Sensor Networks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 120 - Number 14 |
| Year of Publication: 2015 |
| Authors: Zahra Kamaei, Hamidreza Bakhshi, Behrooz Masoumi |
10.5120/21293-4273
|
Zahra Kamaei, Hamidreza Bakhshi, Behrooz Masoumi . Improved Harmony Search Algorithm with Ant Colony Optimization Algorithm to Increase the Lifetime of Wireless Sensor Networks. International Journal of Computer Applications. 120, 14 ( June 2015), 6-12. DOI=10.5120/21293-4273
Abstract
The new generations of networks are sensor networks which typically consist of a large number of nodes that are connected wirelessly. The main idea of these types of networks is collecting data around the network's sensors. Since the sensors nodes work with the battery and there is no possibility to change or recharge these batteries, the life time of these networks depends on the sensors energy. The purpose of this study is, improved Harmony Search algorithm with using Ant Colony Optimization Algorithm to determine the basic paths to harmony memory is initialized for increase the life time of the network. For this purpose, an algorithms have been proposed named by ACO-HS also important conditions such as appropriate distribution of energy consumption between sensors nodes leading to increasing life time of the networks, is considered. The simulation results show the capability of the proposed algorithm in finding the Proper path and establishment appropriate balance in the energy consumed by the nodes. Propose algorithm is better than Harmony Search algorithm and Ant Colony Optimization and Genetic Ant Algorithm.
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