Title
A cooperative communication protocol for saving energy consumption in WSNs
Abstract
Cooperative communication is a promising solution for Wireless Sensor Networks (WSN). Its main idea consists in a source node (sensor) which uses, at each hop, the resources of multiple nodes (called cooperative nodes) to transmit its data. Thus, by sharing resources between nodes, the transmission quality is enhanced. In this paper, we use the technique of reinforcement learning by opponent modelling, and propose a cooperative communication protocol based on RSSI and node energy consumption in a competetive context (RSSI/Energy CC). For this algorithm, a competitive mechanism is implemented at each node using a multi-agent reinforcement learning algorithm. The reinforcement learning concept consists in considering the cooperative nodes as multiple agents learning their optimal policy through experiences and rewards. By adopting an optimal policy, agents can optimally learn using locally observed network information and limited information exchange. Simulation results show that the proposed algorithm performs well in terms of network lifetime, packet delay, and energy consumption.
Year
DOI
Venue
2012
10.1109/ComNet.2012.6217725
COMNET
Keywords
Field
DocType
cooperative communication,energy conservation,energy consumption,learning (artificial intelligence),multi-agent systems,protocols,quality of service,radio data systems,wireless sensor networks,rssi energy consumption,cooperative communication protocol,cooperative node,data transmission quality,multiagent reinforcement learning algorithm,multiple agents learning,multiple node,network information,network lifetime,node energy consumption,packet delay,reinforcement learning technique,wireless sensor network,multi agent systems,information exchange,reinforcement learning,learning artificial intelligence
Computer science,Information exchange,Network packet,Quality of service,Computer network,Real-time computing,Multi-agent system,Wireless sensor network,Energy consumption,Reinforcement learning,Communications protocol,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4673-1006-2
3
0.41
References 
Authors
2
3
Name
Order
Citations
PageRank
Maalej, M.130.75
Besbes, H.272.51
Sofiane Cherif3237.58