DocumentCode
3075264
Title
Practical Virtual Coordinates for large wireless sensor networks
Author
Zhou, Jiangwei ; Chen, Yu ; Leong, Ben ; Feng, BoQin
Author_Institution
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
fYear
2010
fDate
5-8 Oct. 2010
Firstpage
41
Lastpage
51
Abstract
Geographic routing is a promising approach for point-to-point routing in wireless sensor networks, but it requires the availability of geographic coordinates. Location devices like GPS do not work indoors and they are often not cost-effective for ubiquitous deployment on a large scale. While it is possible to manually configure coordinates for small sensor networks, it is infeasible to do the same for large-scale networks with thousands of nodes. We present Particle Swarm Virtual Coordinates (PSVC), a distributed virtual coordinate assignment algorithm that employs Particle Swarm Optimization to compute virtual coordinates for geographic routing. PSVC converges faster, achieves a lower hop stretch, and scales well up to large networks of 3,200 nodes compared to NoGeo. Also, PSVC makes no assumptions on the network topology and can naturally be extended to three-dimensional (3D) wireless sensor networks.
Keywords
distributed algorithms; particle swarm optimisation; telecommunication network routing; telecommunication network topology; wireless sensor networks; GPS; PSVC; distributed virtual coordinate assignment algorithm; geographic coordinates; geographic routing; large-scale networks; network topology; particle swarm optimization; particle swarm virtual coordinates; point-to-point routing; practical virtual coordinates; three-dimensional wireless sensor networks; Mathematical model; Network topology; Particle swarm optimization; Routing; Springs; Three dimensional displays; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Protocols (ICNP), 2010 18th IEEE International Conference on
Conference_Location
Kyoto
ISSN
1092-1648
Print_ISBN
978-1-4244-8644-1
Type
conf
DOI
10.1109/ICNP.2010.5762753
Filename
5762753
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