Blackboard Mechanism Based Ant Colony Theory for Dynamic Deployment of Mobile Sensor Networks

作     者：Guang-ping Qi Ping Song Ke-jie Li 

作者机构：School of Aerospace Science and Engineering Beij＇ing Institute of Technology Beo＇ing 100081 P. R. China 

出 版 物：《Journal of Bionic Engineering》 (仿生工程学报（英文版）)

年 卷 期：2008年第5卷第3期

页      面：197-203页

核心收录：

学科分类：08[工学] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National "863" Project of China (Grant no. 2007AA04Z224) 

主　　题：ant colony algorithm wireless sensor network blackboard mechanism bionic swarm intelligence algorithm 

摘      要：A novel bionic swarm intelligence algorithm, called ant colony algorithm based on a blackboard mechanism, is proposed to solve the autonomy and dynamic deployment of mobiles sensor networks effectively. A blackboard mechanism is introduced into the system for making pheromone and completing the algorithm. Every node, which can be looked as an ant, makes one information zone in its memory for communicating with other nodes and leaves pheromone, which is created by ant itself in naalre. Then ant colony theory is used to find the optimization scheme for path planning and deployment of mobile Wireless Sensor Network （WSN）. We test the algorithm in a dynamic and unconfigurable environment. The results indicate that the algorithm can reduce the power consumption by 13% averagely, enhance the efficiency of path planning and deployment of mobile WSN by 15% averagely.