A Probabilistic Approach to Resource Allocation in Distributed Fusion Systems
In complex multi-agent fusion systems resource conflicts are very likely to occur. We propose an algorithm that determines the optimal sensing resource to fusion task assignment, based on the entropy change criterion. By exploiting the Bayesian network framework and the structure of our agent network the algorithm operates in a distributed manner by combining descriptions of local fusion models in an efficient way which provides significant advantages over centralized approaches.
distribution fusion entropy agent
REN Ji-Xu SONG Jia-Cheng HAI Ji-Liu FENG Xiao-Yu
Electric Engineering Institute, Anhui Province, china Hefei university of technology, Anhui Province, china
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
578-583
2006-08-20(万方平台首次上网日期,不代表论文的发表时间)