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

Abstract:

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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.

Info:

Periodical:

Edited by:

Honghua Tan

Pages:

2238-2242

DOI:

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

Citation:

L. X. Guo and L. P. Zhao, "Collaboration Strategy Simulation of Multi-Agents for Pursuit-Evasion in Wireless Sensor Networks", Applied Mechanics and Materials, Vols. 29-32, pp. 2238-2242, 2010

Online since:

August 2010

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$35.00

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