Distributed Incremental Strategy for Radio Tomographic Imaging

Radio Tomographic Imaging (RTI) finds extensive application in modern day problem. The RTI achieved this using received signal strength (RSS) power and transmitted power by sensor nodes. RTI being an ill-posed inverse problem, requires regularization for proper estimation of spatial loss field(SLF) and able to detect the object. Centralized solution of RTI system requires large communication overheads. This motivates to develop distributed algorithm for RTI. Two novel distributed algorithms using incremental approach are developed in this paper. The first approach is the direct extension of the centralized approach to distributed incremental approach. Second algorithm requires less communication overheads compared to the first one by incorporating data censoring technique. The performance metrics show that the performance of distributed Incremental RTI is comparable to the centralized RTI system. Again the impact of censoring is studied by increasing the censoring ratio , which results in a trade-off between detection performance and computational complexity.