Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/43333
Title: Task allocation via self-organizing swarm coalitions in distributed mobile sensor network
Authors: Low, K.H. 
Leow, W.K. 
Ang Jr., M.H. 
Issue Date: 2004
Source: Low, K.H.,Leow, W.K.,Ang Jr., M.H. (2004). Task allocation via self-organizing swarm coalitions in distributed mobile sensor network. Proceedings of the National Conference on Artificial Intelligence : 28-33. ScholarBank@NUS Repository.
Abstract: This paper presents a task allocation scheme via self-organizing 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.
Source Title: Proceedings of the National Conference on Artificial Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/43333
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