DocumentCode :
3099960
Title :
Uneven clustering routing algorithm for Wireless Sensor Networks based on ant colony optimization
Author :
Du, Jiang ; Wang, Liang
Author_Institution :
Dept. of Comput. Sci. & Technol., Chongqing Univ. of Postd & Telecommun., Chongqing, China
Volume :
3
fYear :
2011
fDate :
11-13 March 2011
Firstpage :
67
Lastpage :
71
Abstract :
In order to make good use of the limited energy, ant colony optimization (ACO) was applied to inter-cluster routing mechanism. An uneven clustering routing algorithm for Wireless Sensor Networks (WSNs) based on ant colony optimization (ACO) was proposed. The algorithm utilized the dynamic adaptability and optimization capabilities of the ant colony to get the optimum route between the cluster head. Meanwhile, it organized different cluter in different size based on the distance between cluster heads and sink node, and clusters closer to sink had smaller sizes than those farther away from the sink, thus the closer cluster heads could preserve energy for the inter-cluster data forwarding. Simulation result indicates that the algorithm effectively balances the network energy consumption and prolongs the network life cycle compared with LEACH and PARA.
Keywords :
optimisation; pattern clustering; telecommunication network routing; wireless sensor networks; WSN; ant colony optimization; cluster head; inter-cluster data forwarding; intercluster routing mechanism; network energy consumption; network life cycle; sink node; uneven clustering routing algorithm; wireless sensor networks; Ant colony optimization; Base stations; Clustering algorithms; Energy consumption; Routing; Wireless communication; Wireless sensor networks; Ant Colony Optimization (ACO); energy-effcient; uneven clustring; wireless Sensor Networks (WSNs);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-839-6
Type :
conf
DOI :
10.1109/ICCRD.2011.5764247
Filename :
5764247
Link To Document :
بازگشت