Title
EEMLA: Energy Efficient Monitoring of Wireless Sensor Network with Learning Automata
Abstract
When sensors are redundantly deployed, a subset of sensors should be selected to actively monitor the field (referred to as a "cover"), while the rest of the sensors should be put to sleep to conserve their batteries. Despite of its potential application, wireless sensor network encounters resource restrictions such as low computational power, reduced bandwidth and specially limited power resource. In this paper we propose learning automata based algorithm for energy-efficient monitoring in wireless sensor networks. Learning Automata are used for choosing the nodes having redundant coverage contribution. The proposed monitoring method in comparison to existing methods uses less number of nodes for monitoring network area. To evaluate the performance of the proposed algorithm several experiments have been conducted. The simulation results establish that the monitoring of sensor nodes with the proposed technique shows better utilization of the resources that effectively leads to an energy efficient maximally covered sensor network topology. Experiments have also shown that the proposed monitoring algorithm in compar卢ison to other existing methods prolongs the network lifetime.
Year
DOI
Venue
2010
10.1109/ICSAP.2010.14
ICSAP
Keywords
Field
DocType
wireless sensor network,proposed monitoring method,energy efficient monitoring,sensor node,energy-efficient monitoring,network area,existing method,learning automata,proposed technique,sensor network topology,network lifetime,proposed monitoring algorithm,energy efficient,ad hoc networks,sensors,wireless sensor networks,sensor network,energy conservation,energy efficiency,wireless communication
Learning automata,Computer science,Visual sensor network,Computer network,Real-time computing,Artificial intelligence,Wireless ad hoc network,Computer vision,Key distribution in wireless sensor networks,Efficient energy use,Brooks–Iyengar algorithm,Mobile wireless sensor network,Wireless sensor network
Conference
Citations 
PageRank 
References 
8
0.52
10
Authors
3
Name
Order
Citations
PageRank
Habib Mostafaei121113.90
Mohammad Reza Meybodi2166496.57
Mehdi Esnaashari313110.37