Title :
Sleep Based Topology Control: Based on the Distributed Learning Automata
Author :
Shirali, Mina ; Meybodi, Mohammad Reza ; Shirali, Nasrin
Author_Institution :
Young Res. Club, Islamic Azad Univ. of Qazvin, Qazvin, Iran
Abstract :
Topology control tries to provide more spatial reuse and power conservation while keeping network connectivity. Some topology control algorithms try to provide more energy conservation by sleeping the redundant nodes. This paper presents a learning automata based algorithm to determine whether the node has to sleep or not. Just few efforts have focused on the issue of topology control with mobility. We have simulated our proposed algorithm in both of the static and dynamic networks. Our results show that the proposed algorithm outperforms CEC, which is a well known algorithm.
Keywords :
ad hoc networks; learning automata; telecommunication control; telecommunication network topology; ad hoc networks; distributed learning automata algorithm; dynamic networks; energy conservation; power conservation; redundant nodes; sleep based topology control algorithm; static networks; wireless networks; Clustering algorithms; Heuristic algorithms; Learning automata; Neodymium; Network topology; Simulation; Topology;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5601189