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Author(s): Elham Hajian | Kamal Jamshidi | Ali Bohlooli

Journal: International Journal of Ad Hoc, Sensor & Ubiquitous Computing
ISSN 0976-2205

Volume: 1;
Issue: 2;
Start page: 1;
Date: 2010;
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Keywords: WSN | energy | distance | learning automata

Low power and limited processing are characteristics of nodes in Wireless sensor networks. Therefore, optimalconsumption of energy for WSN protocols seems essential. In a number of WSN applications, sensor nodes sense dataperiodically from environment and transfer it to the sink. Because of limitation in energy and selection of best route,for the purpose of increasing network remaining energy a node with most energy level will be used for transmissionof data. The most part of energy in nodes is wasted on radio transmission; thus decreasing number of transferredpackets in the network will result in increase in node and network lifetimes. In algorithms introduced for datatransmission in such networks up to now, a single route is used for data transmissions that results in decrease inenergy of nodes located on this route which in turn results in increasing of remaining energy. In this paper a newmethod is proposed for selection of data transmission route that is able to solve this problem. This method is basedon learning automata that selects the route with regard to energy parameters and the distance to sink. In this methodenergy of network nodes finishes rather simultaneously preventing break down of network into two separate parts.This will result in increased lifetime. Simulation results show that this method has been very effective in increasing ofremaining energy and it increases network lifetime.
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