Distance-Based Decision Fusion in a Distributed Wireless Sensor Network

摘要: Target classification fusion problem in a distributed, wireless sensor network is investigated. We propose distance-based decision scheme exploiting the relationship between to target distance, signal noise ratio and rate, which requires less communication while achieving higher region rate when compared conventional majority-vote-based schemes. Several different methods are tested, very encouraging simulation results using real world experimental data samples also observed.