Collaboration Strategy Simulation of Multi-Agents for Pursuit-Evasion in Wireless Sensor Networks

Li Xin Guo; Lei Ping Zhao

doi:10.4028/www.scientific.net/AMM.29-32.2238

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 29-32Collaboration Strategy Simulation of Multi-Agents...

Collaboration Strategy Simulation of Multi-Agents for Pursuit-Evasion in Wireless Sensor Networks

Abstract:

In this study, we used Cricket equipments based on wireless sensor networks to study the pursuit-evasion strategy of multi-robots in a continuous map. In order to improve the efficiency, two new pursuit-evasion strategies were proposed. To meet the need of a continuous map, a greedy algorithm was utilized to deal with boundary problem when a pursuer or an evader was near the field boundary. The statistical results show the converging-attack pursuit strategy outperforms in pursuing the evader with different escaping strategies, such as randomly moving, active escaping strategy and vector-wards escaping strategy. The vector-wards escaping strategy is also effective in delaying the capture of evaders.

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Periodical:

Applied Mechanics and Materials (Volumes 29-32)

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2238-2242

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https://doi.org/10.4028/www.scientific.net/AMM.29-32.2238

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Online since:

August 2010

Authors:

Li Xin Guo, Lei Ping Zhao

Keywords:

Collaboration, Localization, Multi-Agent (MA), Pursuit-Evasion Strategy, Wireless Sensor Network (WSN)

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