Motion–Related Resource Allocation in Dynamic Wireless Visual Sensor Network Environments

Angeliki V. Katsenou, Lisimachos P. Kondi, Konstantinos E. Parsopoulos
2014 IEEE Transactions on Image Processing  
This paper investigates quality-driven cross-layer optimization for resource allocation in direct sequence code division multiple access wireless visual sensor networks. We consider a single-hop network topology, where each sensor transmits directly to a centralized control unit (CCU) that manages the available network resources. Our aim is to enable the CCU to jointly allocate the transmission power and source-channel coding rates for each node, under four different quality-driven criteria
more » ... take into consideration the varying motion characteristics of each recorded video. For this purpose, we studied two approaches with a different tradeoff of quality and complexity. The first one allocates the resources individually for each sensor, whereas the second clusters them according to the recorded level of motion. In order to address the dynamic nature of the recorded scenery and re-allocate the resources whenever it is dictated by the changes in the amount of motion in the scenery, we propose a mechanism based on the particle swarm optimization algorithm, combined with two restarting schemes that either exploit the previously determined resource allocation or conduct a rough estimation of it. Experimental simulations demonstrate the efficiency of the proposed approaches. Index Terms- Resource allocation, cross-layer optimization, DS-CDMA, H.264/AVC, clustering, nash bargaining solution, visual sensor networks, particle swarm optimization. 1057-7149 © 2013 IEEE Angeliki V. Katsenou received the Diploma degree in electrical and computer engineering and the M.S. degree in signal and image processing from the University of Patras, Patras, Greece, in 2004 and 2007, respectively. She is currently pursuing the Ph.D. degree with the
doi:10.1109/tip.2013.2286323 pmid:24144659 fatcat:xr73nzcm7vc6jdpxl3ipq6nzl4