DocumentCode
2289411
Title
Study on WSN topology division and lifetime
Author
Jiu-qiang Xu ; Hong-chuan Wang ; Feng-gao Lang ; Ping Wang ; Zhen-peng Hou
Author_Institution
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Volume
1
fYear
2011
fDate
10-12 June 2011
Firstpage
380
Lastpage
384
Abstract
The energy consumption and the lifetime in wireless sensor network (WSN) can be investigated from the perspective of network topology division. A connected key nodes discovering algorithm based on loop detection between neighbor nodes was proposed in this paper. Moreover, we proposed the principle and theoretical analysis of this algorithm. This algorithm can be used to find the connected key nodes in WSN. An idea about enhancing topology connectivity in WSN by additional mobile nodes was introduced. A path planning algorithm for mobile nodes based on the above idea is also proposed in order to prolong the lifetime of the network and reduce the influence of connected key nodes on the network lifetime. According to the theoretical analysis and simulation, this research has effectively solved the problem about wireless sensor network topology division caused by connected key nodes, and then has obviously extended the lifetime of wireless sensor networks. The discovery of connected key nodes and the elimination of the negative impact cased by the connected key nodes could enhance the topology of WSN and extend the lifetime of WSN.
Keywords
path planning; telecommunication network topology; wireless sensor networks; connected key nodes; loop detection; mobile nodes; network lifetime; network topology; path planning algorithm; wireless sensor network; Algorithm design and analysis; Energy consumption; Mobile communication; Mobile computing; Path planning; Routing; Wireless sensor networks; LDNN algorithm; WSN; connected key nodes; mobile nodes; topology division;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-8727-1
Type
conf
DOI
10.1109/CSAE.2011.5953244
Filename
5953244
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