Socio-economic (Banking) model based algorithm for energy efficient routing in Wireless Sensor Networks

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Conference Proceeding
BROADBANDCOM 2009 - Selected Papers on Broadband Communication, Information Technology and Biomedical Applications, 2009, pp. 195 - 201
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Wireless Sensor Networks are typically characterized by very low-powered nodes performing data gathering, aggregation and routing tasks for very specific targets. The goal of such distributed network of nodes is essentially to work intelligently in data gathering, processing and routing in order to maximise the life-time of the network as a whole. Since these nodes are usually distributed in fairly inaccessible domains, such as a battlefield, bridges, tunnels, and other critical areas, it is not always easy to re-energize the nodes by replacing their battery source. So, the only other way to improve the service of such nodes is to minimize exchange of radio messages by optimizing routing and clustering algorithms. This paper introduces a new routing and clustering algorithm based on a popular and very familiar socioeconomic model 'the Banking Model.
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