Reference : Cellular Automata Approach to Maximum Lifetime Coverage Problem in Wireless Sensor Ne...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/30198

Title :	Cellular Automata Approach to Maximum Lifetime Coverage Problem in Wireless Sensor Networks
Language :	English
Author, co-author :	Tretyakova, Antonina [Polish-Japanese School]
	Seredynski, Franciszek [Cardinal Wuzynski University]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2014
Main document title :	Cellular Automata: 11th International Conference on Cellular Automata for Research and Industry, ACRI 2014 Krakow, Poland, September 22–25, 2014, Proceedings
Editor :	Was, Jaroslaw
	Sirakoulis, Georgios
	Bandini, Stefania
Publisher :	Springer
Collection and collection volume :	LCNS 8751
Pages :	437-446
Peer reviewed :	Yes
On invitation :	No
Audience :	International
ISBN :	978-3-319-11519-1
Event name :	ACRI 2014
Event date :	from 22-09-2014 to 24-09-2014
Event place (city) :	Krakow
Keywords :	[en] Coverage control ; UAV ; Cellular Automata
Abstract :	[en] In this paper, we propose a novel distributed algorithm based on Graph Cellular Automata (GCA) concept to solve Maximum Lifetime Coverage Problem (MLCP) in Wireless Sensor Networks (WSNs). The proposed algorithm possesses all advantages of localized algorithm, i.e. using only some knowledge about the neighbors, WSN is able to self-organize in such a way to prolong its lifetime preserving at the same time required coverage ratio of a target field. The paper presents results of experimental study of the proposed algorithm and comparison of them with a centralized genetic algorithm.
Permalink :	http://hdl.handle.net/10993/30198
DOI :	10.1007/978-3-319-11520-7_45

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