Resource management for wireless visual sensor networks based on individual video characteristics

We propose a novel approach for the optimized network resource management of a Direct Sequence Code Division Multiple Access (DS-CDMA) visual sensor network. The visual sensors monitor different scenes of varying motion levels, thus different network resources need to be allocated to each sensor. For each recorded scene, our approach considers its individual content-related parameters, in contrast with previous methods that group the sensors according to the amount of motion present in the scene and assign the same transmission parameters to all members of a group. Cross-layer optimization is used across the physical, link and application layers. Based on quality-driven criteria (under the constraint of constant chip rate), we allocate to each node a suitable continuous power level, a discrete source coding rate and a discrete channel coding rate. The resulting problem is solved using the Particle Swarm Optimization algorithm. Experimental results demonstrate the performance and efficiency of each criterion.