Dewasurendra, D: Evidence Filtering

Wireless sensor networks attempt to revolutionize the way we interact with the physical world by networking multitudes of small sensors attached to wireless radios. This book presents a novel method named Evidence Filtering for processing multi- modality sensor data in such networks. Based on Dempster-Shafer evidence theory, it allows one to directly process temporally and spatially distributed multi-modality sensor data and infer on the `frequency‘ characteristics of events of interest. Second part of the book covers distributed methods to implement spatio-temporal filtering applications in grid sensor networks. Based on the Fornasini-Marchesini local state space model, these distributed methods enable local actuation in response to local events. The techniques discussed here provide a highly effective toolset for one to implement spatio-temporal filtering applications in multi-modality grid sensor networks. This book also covers past research in related areas and is intended for students, engineers, scientists, and researchers in the related disciplines.