DocumentCode
1922746
Title
A Full-Reachability Network to Connect Isolated Nodes in Wireless Sensor Networks -- An Application of Finding Escape-Path in Blaze Scene
Author
Lin, Che-Hung ; Tseng, Chun-Wei ; Song, Yi-Syuan ; Chen, Yi-Ting ; Horng, Mong-Fong ; Chang, Wen-Chuan
Author_Institution
Dept. of Inf. Manage., Cheng Shiu Univ., Kaohsiung, Taiwan
fYear
2012
fDate
26-28 Sept. 2012
Firstpage
268
Lastpage
273
Abstract
In this paper, a collaboration of topology control for full-reachability networks and a genetic algorithm with dynamic mutation to discover the escape path in a blaze scene is proposed. The proposed scheme for transmission range efficiently solves the isolated nodes problem. The proposed algorithm powerfully improves the performance of traditional genetic algorithm to avoid the possible solutions falling in local optimal. There are various experimental simulations to verify the effectiveness, reliability and timeliness of performance of proposed approaches. In the developed wireless sensor network, each sensor in a network can connect at least two sensors and deliver each other through the obtained transmission range to form a full reach ability network. Hence, an excellent blaze escape system with full reachability network topology and real-time routing method has been developed through the proposed approaches in this paper. This system will benefit the security and safety of people in a blaze scene.
Keywords
genetic algorithms; telecommunication network reliability; telecommunication network routing; telecommunication network topology; wireless sensor networks; blaze escape system; blaze scene; dynamic mutation; full-reachability network topology; genetic algorithm; isolated node connection; people safety; people security; real-time routing method; reliability; topology control collaboration; transmission range; wireless sensor networks; Biological cells; Fires; Genetic algorithms; Heuristic algorithms; Temperature sensors; Wireless sensor networks; Escape-path Discovery; Full-reachability; Isolated nodes; Wireless sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Bio-Inspired Computing and Applications (IBICA), 2012 Third International Conference on
Conference_Location
Kaohsiung
Print_ISBN
978-1-4673-2838-8
Type
conf
DOI
10.1109/IBICA.2012.73
Filename
6337676
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