Information Fusion in Distributed Sensor Networks

Abstract

A distributed sensor network (DSN) consists of a set of processing nodes collecting data from sensors. When the nodes communicate, each node fuses the information received from other nodes with the local information to obtain an updated situation assessment. This paper presents fusion results based on a multiple hypothesis approach. The two important problems of hypothesis formation and evaluation are discussed.