会议专题

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)