Intelligent Mechanisms for Energy Reduction in Design of Wireless Sensor Networks using Learning Methods

Authors:
Mitun Bhattacharyya;Ashok Kumar;Magdy Bayoumi
Affiliations:
The Center for Advanced Computer Studies, University of Louisiana at Lafayette;The Center for Advanced Computer Studies, University of Louisiana at Lafayette;The Center for Advanced Computer Studies, University of Louisiana at Lafayette
Venue:
Proceedings of the 2006 conference on Integrated Intelligent Systems for Engineering Design
Year:
2006

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Abstract

In this chapter we propose two techniques in two different sub areas of Wireless Sensor Network (WSN) to reduce energy using learning methods. In the first technique we introduce a watchdog/blackboard mechanism to reduce query transmissions, in which an approach is used to learn the query pattern from cluster head. Once the pattern is learnt, data are automatically sent back even without any queries from the cluster head. In the second technique we propose a learning agent method of profiling the residual energies of sensors within a cluster. Here as the agent moves across the different sensor nodes, it profiles the sensors' residual energies. This profile information is provided to sensors to help them make intelligent routing decisions.