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TinyLAP: A Scalable Learning Automata-Based Energy Aware Routing Protocol for Sensor Networks

By M. Ankit, M. Arpit, T. J Deepak, R. Venkateswarlu and D. Janakiram

Abstract

Abstract — Recent advances in wireless technology have enabled the rapid development of wireless sensor networks. Such networks, consisting of ten to thousands of randomly deployed nodes collaborating to achieve a goal, are used in a variety of applications. This paper presents a TinyLAP routing protocol for wireless sensor networks that adopts a novel approach to increase the network lifetime. In this protocol, a learning automata agent keeps running on every sensor node, and this agent routes the packets in a best path(most of the time shortest path), which in turn saves the energy. This protocol is especially suitable for monitoring applications, in which the attributes are continuously monitored over a period of years. We have discussed simulation results by comparing with AODV and DSDV protocols. I

Year: 2008
OAI identifier: oai:CiteSeerX.psu:10.1.1.134.2325
Provided by: CiteSeerX
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