DocumentCode :
3240823
Title :
Evolutionary algorithm - based solutions 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 :
2012
fDate :
6-8 Dec. 2012
Firstpage :
174
Lastpage :
179
Abstract :
The paper analyzes three recently proposed algorithms, which differ not only in the method of finding solution to the Maximum Lifetime Coverage problem, but also in approaches to formulation of the problem. In order to compare the algorithms: (1) they were adapted to the common assumptions such as the same scenario of WSN work and the same characteristics, i.e. a size of target field, a number of sensors N, a sensing range Rs were used, (2) special sensor network simulator was implemented. Evaluation of lifetime was made according to introduced metrics: minT(q) and maxT(q). The paper presents the results of an experimental study. Based on the results of experiments, conclusions about the validity of the assumptions of algorithms, quality of solutions and possible improvements are drawn.
Keywords :
evolutionary computation; wireless sensor networks; evolutionary algorithm; maximum lifetime coverage problem; sensor network simulator; target field size; wireless sensor networks; Sensors; genetic algorithm; maximum lifetime coverage problem; memetic algorithm; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on
Conference_Location :
Solan
Print_ISBN :
978-1-4673-2922-4
Type :
conf
DOI :
10.1109/PDGC.2012.6449812
Filename :
6449812
Link To Document :
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