Title: Modelling and analyses of WSN-based pursuit-evasion strategies for multi-pursuers to multi-evaders
Authors: Li-Xin Guo, Hua-Long Xie, Lei-Ping Zhao, Zhao-Wen Wang
Addresses: School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China. ' School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China. ' School of Information Science and Engineering, Northeastern University, Shenyang 110004, China. ' School of Materials and Metallurgy, Northeastern University, Shenyang 110004, China
Abstract: Wireless sensor networks have yielded a lot of new theoretical problems for the localisation, tracking and navigation control of mobile objects within a local area, especially, for investigations of pursuit-evasion games. For the efficiency of capture and evasion of pursuers and evaders in pursuit-evasion games, several novel pursuit-evasion policies are proposed in this study. The vector-ward evasion strategy may bring the evader breaking away from the puzzledom between two fires and reduce fluctuation of evasion routes. The intelligent collaboration pursuit strategy effectively exerts the collaboration efficiency of multiple pursuers and shortens the capture time. The estimated location errors caused by wireless sensor networks were also involved for the pursuers and evaders in the simulation of this study. The results show that every pursuit-evasion strategy is valid and robust. In the simulation of multiple pursuers to capture multiple evaders, the object assignment method and the corresponding pursuit policies are reliable and can capture all evaders in a limited area as quickly as possible.
Keywords: wireless sensor networks; WSNs; pursuit-evasion games; PEG; vector-ward evasion; intelligent collaboration pursuit; ICP; multiple to multiple pursuit strategy; wireless networks; modelling.
International Journal of Modelling, Identification and Control, 2011 Vol.12 No.1/2, pp.141 - 148
Published online: 31 Dec 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article