Influence of the Number of Ants on Multi-objective Ant Colony Optimization Algorithm for Wireless Sensor Network Layout

2014 ◽  
pp. 232-239 ◽  
Author(s):  
Stefka Fidanova ◽  
Pencho Marinov ◽  
Marcin Paprzycki
Keyword(s):  
Wireless Sensor Network ◽  
Ant Colony Optimization ◽  
Sensor Network ◽  
Optimization Algorithm ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Ant Colony Optimization Algorithm ◽  
Multi Objective ◽  
Network Layout

Clustering Routing Algorithm Ant Colony Optimization-Based for Wireless Sensor Network

2014 ◽  
Vol 568-570 ◽  
pp. 594-597
Author(s):  
Jun Ye Zhang ◽  
Dong Ya Chen
Keyword(s):  
Wireless Sensor Network ◽  
Ant Colony Optimization ◽  
Sensor Network ◽  
Wireless Channels ◽  
Routing Algorithm ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Ant Colony Optimization Algorithm ◽  
Limited Power ◽  
Dynamic Adaptability

Nodes in wireless sensor network have limited power supply and wireless channels between them are sensitive to interference. In order to make good use of the limited energy, a routing algorithm is proposed which uses the Ant Colony Optimization Algorithm to balance the load of the network and extend the network life, the proposed algorithm utilizes the dynamic adaptability and optimization capabilities of the ant colony to get the optimum route between the cluster heads．Simulation results show the feasibility and effectiveness of this algorithm．

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