DocumentCode :
1995219
Title :
Application of Evolutionary Algorithms to Maximum Lifetime Coverage Problem in Wireless Sensor Networks
Author :
Tretyakova, Antonina ; Seredynski, Franciszek
Author_Institution :
Polish-Japanese Inst. of Inf. Technol., Warsaw, Poland
fYear :
2013
fDate :
20-24 May 2013
Firstpage :
445
Lastpage :
453
Abstract :
The paper analyzes three recently proposed algorithms, which differ not only in the method of finding solution to the Maximum Lifetime Coverage problem in Wireless Sensor Networks (WSN), but also approaches to a statement of the problem. In order to compare algorithms: (1) they were adapted to the common assumptions that correspond to real characteristics of sensor networks and (2) special sensor network simulator was used to study the algorithms. The paper presents the results of an experimental study and shows how the lifetime of WSN depends on a different set of algorithms parameters and WSNs parameters. Based on the results of the experiments, conclusions about the validity of the assumptions of algorithms, quality of solutions and possible improvements are drawn.
Keywords :
evolutionary computation; wireless sensor networks; WSN; evolutionary algorithm; maximum lifetime coverage problem; sensor network simulator; wireless sensor network; Batteries; Genetic algorithms; Memetics; Schedules; Sensors; Sociology; Wireless sensor networks; energy- efficient localized algorithm; genetic algorithm; maximum lifetime coverage problem; memetic algorithm; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2013 IEEE 27th International
Conference_Location :
Cambridge, MA
Print_ISBN :
978-0-7695-4979-8
Type :
conf
DOI :
10.1109/IPDPSW.2013.96
Filename :
6650917
Link To Document :
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