EESR '05 Proceedings of the 2005 workshop on End-to-end, sense-and-respond systems, applications and services
Decentralised coordination of low-power embedded devices using the max-sum algorithm
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
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This work proposes new techniques for saving communication and computational resources when solving distributed constraint optimization problems in an environment where system hardware resources are clustered. Using a pre-computed policy and two phase propagation on Max-Sum algorithm, the system performance on Radar scheduling problem improves in terms of communication and computation.