DocumentCode :
531933
Title :
Connectivity analysis for a wireless sensor network based on percolation theory
Author :
Gu, Xin ; Feng, Hailin
Author_Institution :
Dept. of Math., Xidian Univ., Xi´´an, China
Volume :
5
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
Connectivity is a basic problem in the study of a wireless sensor network. Since there exists a larger scale on the deployment of the wireless sensor network nodes, and the node location and the connection between nodes have a certain amount of randomness, the connectivity behavior of wireless sensor networks is described as a percolation phenomenon in this paper. According to percolation theory and computer Simulation, it studies wireless sensor network connectivity issues, which include the connectivity of the largest connected component and the ratio that number of nodes in the infinite connected component share all nodes. It is great significance for developing sensor node power levels and achieving the required network connectivity.
Keywords :
percolation; wireless sensor networks; computer simulation; connectivity analysis; infinite connected component; node location; percolation theory; sensor node power levels; wireless sensor network; TV; Connectivity Wireless sensor networks Continuum percolation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5619163
Filename :
5619163
Link To Document :
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