Computational aspects of distributed sensor networks

In recent years, the increasing sophistication of detection and tracking systems with multiple sensors has generated a great deal of interest in the development of new computational structures and strategies. The design of such spatially distributed systems involves the integration of solutions to the problems in data-association, hypothesis testing, data fusion, etc. More importantly, the design of efficient algorithms for these problems becomes all important issue as numerous distributed computational framework models are developed. In this paper, we present a survey of the recent research work conducted on the distributed sensor networks (DSNs) ranging from multi-sensor fusion methods, through target location, complexities of sensor deployment, probabilistic optimal surveillance to mobile agent based DSN (MADSN).