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2004

Task Allocation via Self-Organizing Swarm Coalitions in Distributed Mobile Sensor Network

9 years 3 months ago
Task Allocation via Self-Organizing Swarm Coalitions in Distributed Mobile Sensor Network
This paper presents a task allocation scheme via selforganizing swarm coalitions for distributed mobile sensor network coverage. Our approach uses the concepts of ant behavior to self-regulate the regional distributions of sensors in proportion to that of the moving targets to be tracked in a non-stationary environment. As a result, the adverse effects of task interference between robots are minimized and sensor network coverage is improved. Quantitative comparisons with other tracking strategies such as static sensor placement, potential fields, and auction-based negotiation show that our approach can provide better coverage and greater flexibility to respond to environmental changes.
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where AAAI
Authors Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.
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