Control for Video Sensor Networks

Wireless sensor networks (WSNs) have secured a role in many emerging applications spanning environmental, ecological, industrial, and commercial domains in which data are periodically sourced from sensors and used in monitoring and control. The ubiquity of network-based video streaming, largely in the form of monitoring equipment installed in administrative domains (cities, campuses, offices, highway systems) has been possible by increases in capability of low-cost cameras and computational devices. However the streaming of video data over wireless sensor networks has the nature of heavy data transmission load, relatively long data transmission period, severe interand intra-path interference, and unbalanced network energy consumption under severe energy constraints. These characteristics make it very difficult to achieve meaningful throughput performance for video data delivery over WSN. In this dissertation we focus on the development of practical throughput aware video data routing techniques optimized to data delivery cost to address the challenge of QoS support in end-to-end throughput achievement for bandwidth demanding video delivery in a large-scale, battery-operated sensor network.