Modelling and analyses of WSN-based pursuit-evasion strategies for multi-pursuers to multi-evaders
Li Xin Guo, Hua Long Xie, Lei Ping Zhao, Zhao Wen Wang
Abstract
Li Xin Guo, Hua Long Xie, Lei Ping Zhao, Zhao Wen Wang
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.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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.
Key concepts: Pursuit-evasion, Evasion (ethics), Computer science, Wireless sensor network, Control (management), Tracking (education), Mathematical optimization, Distributed computing