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Dynamic alliance collaborative tasks of WSNs based on swarm intelligence algorithm


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Dynamic alliance collaborative tasks of WSNs based on swarm intelligence algorithm
Chen Ying1Li Yingjie3Zhu Sifeng2
1.School of Computer Science and Technology; 2.School of Mathematics and Statistics,Zhoukou Normal University,Zhoukou 466001,China; 3.Henan Technical College of Construction,Zhengzhou 450000,China
wireless sensor networks task collaboration dynamic alliance particle swarm optimization ant colony algorithm computing power perception subtasks computation subtasks nodes redundancy energy consumption
In response to the limited computing power and difficulties in completing data transmission of a single node in wireless sensor networks(WSNs),this paper proposes a co-processing data-transmitting method that can divide the cooperative task into perception and computation.By introducing the particle swarm optimization ant colony algorithm(PSO-ACO)into the dynamic alliance of task collaboration of sensing nodes,the data collection routing tree of the sensor network is built.Based on the correlation of data collection in the sensor network,the swarm intelligence algorithm is used to optimize the transmission path of the data sent by the nodes to ensure the continuity of the dynamic alliance in executing the tasks.In this way,the performance of the sensor network is ensured to some extent and the communication energy consumption is reduced accordingly.Simulation experiments indicate that,the sensor network achieves optimal monitoring performance when the percentage of sensing nodes in the total number of nodes in the network is less than 28%.The scheme proposed here can eliminate the sensor node redundancy detected in the same task and reduce energy consumption of the system.


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Last Update: 2014-08-31