DocumentCode
3322201
Title
A Novel Routing Algorithm Based on Ant Colony System for Wireless Sensor Networks
Author
Guan, Xin ; Guan, L. ; Wang, X.G. ; Ohtsuki, Tomoaki
Author_Institution
Dept. of Inf. & Comput. Sci., Keio Univ., Yokohama, Japan
fYear
2009
fDate
3-6 Aug. 2009
Firstpage
1
Lastpage
5
Abstract
In this paper, we introduce a novel routing algorithm which is based on ant colony system. The objective of this novel algorithm is to solve the problem of energy and congestion control on wireless sensor network routing process. This novel algorithm is able to achieve better load balance and prolong the network lifetime. In this novel algorithm we combine the pheromone released by multi-ant colonies and residual energy as the algorithm control factor. Furthermore, we also introduce the competition mechanism among multiant colonies to avoid the simplex convergence in our algorithm. In this way, the novel algorithm controls the network traffic congestion effectively and balances the energy consumption for sensor networks. Simulation results in this paper demonstrate that this novel algorithm has better performance on load balance comparing with fundamental ant colony algorithm.
Keywords
telecommunication congestion control; telecommunication network management; telecommunication network reliability; telecommunication network routing; telecommunication traffic; wireless sensor networks; algorithm control factor; ant colony algorithm; ant colony system; congestion control; network lifetime; network load balancing; network traffic congestion; residual energy; routing algorithm; wireless sensor network; Ant colony optimization; Communication system control; Communication system traffic control; Computer science; Convergence; Energy consumption; Routing protocols; Sensor systems; Traffic control; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communications and Networks, 2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on
Conference_Location
San Francisco, CA
ISSN
1095-2055
Print_ISBN
978-1-4244-4581-3
Electronic_ISBN
1095-2055
Type
conf
DOI
10.1109/ICCCN.2009.5235245
Filename
5235245
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