Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
The 48th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Nov. 2016, FUKUOKA)
Geographic Routing for 3-D Wireless Sensor Networks with Stochastic Learning Automata
Mothoshi HaraWataru AotoAyumu IwataNoriyo KanayamaToru WatanabeHiroyuki Kamaya
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2017 Volume 2017 Pages 153-159

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Abstract

This paper introduces β-BGR, a novel geographic routing protocol for 3-D wireless sensor networks with β-type learning automata. In our protocol, the data packets are forwarded toward the destination, and nodes which hear the packet compete for becoming the next hop. A new recovery strategy with β-type learning automata is presented for the case of empty forwarding area. The β-type learning automata are performed to coordinate adaptively the forwarding area, which is oriented toward the destination location, and its dimension ensures that all nodes within it can mutually communicate with each other sensor node. Then, the efficiency of the β-BGR is shown through several simulation results under some 3-D environments.

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© 2017 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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