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Balanced Energy Consumption Approach Based on Ant Colony in Wireless Sensor Networks

Balanced Energy Consumption Approach Based on Ant Colony in Wireless Sensor Networks
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Author(s): Sahabul Alam (West Bengal University of Technology, India)and Debashis De (West Bengal University of Technology, India)
Copyright: 2016
Pages: 27
Source title: Handbook of Research on Natural Computing for Optimization Problems
Source Author(s)/Editor(s): Jyotsna Kumar Mandal (University of Kalyani, India), Somnath Mukhopadhyay (Calcutta Business School, India)and Tandra Pal (National Institute of Technology Durgapur, India)
DOI: 10.4018/978-1-5225-0058-2.ch012

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Abstract

Now a days Wireless Sensor Networks (WSNs) have grown rapidly due to advancement of information technology. Sensor nodes are deployed over the field for collecting useful information. Sensor nodes have limited battery power and bandwidth. As a result it is critical for planning energy efficient protocols in WSNs. It is necessary to transfer and gather information in optimized way to reduce the energy dissipation. Ant Colony Optimization (ACO) is already proved to be better technique to optimize the network routing protocols in WSNs. Ant based routing can have significant role to extend the network life time and balance energy consumption in WSNs. In this chapter wireless sensor network architecture, routing factors of wireless sensor networks, computational intelligence technique, ant colony algorithm and ant colony based balanced energy consumption approaches in wireless sensor network have been discussed.

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