An Enhanced Approach for a Multiagent Distributed Context Using Tree Topology and Transferable Belief Model

Abstract

This paper makes continuation to add transferable belief model to a Multiagent distributed context using tree topology. Agents act as a node and gather data independently using graph with cycles. The cyclic structure improves better communication among mobile unit. Dynamic scenario is been considered where agents gather data that changes over time. A cyclic graph algorithm has been proposed to merge to basic belief assignment based on transferable belief model. The major utilization of transferable belief model is in sensor networks.