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

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 t...

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Vydáno v:	IEEE transactions on image processing Ročník 23; číslo 1; s. 56 - 68
Hlavní autoři:	Katsenou, Angeliki V., Kondi, Lisimachos P., Parsopoulos, Konstantinos E.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.01.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Actigraphy - methods Algorithms Applied sciences Channel coding clustering Code Division Multiple Access Coding, codes Computer Communication Networks cross-layer optimization Detection, estimation, filtering, equalization, prediction DS-CDMA Exact sciences and technology H.264/AVC Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Information Storage and Retrieval - methods Information, signal and communications theory Motion nash bargaining solution Optimization algorithms particle swarm optimization Pattern Recognition, Automated - methods Photography - methods Quality assessment Reproducibility of Results Resource allocation Resource management Sensitivity and Specificity Signal and communications theory Signal processing Signal Processing, Computer-Assisted Signal representation. Spectral analysis Signal, noise Source coding Telecommunications and information theory Video sequences visual sensor networks Visualization Wireless Technology Video coding Performance evaluation Automatic classification Wireless telecommunication Resource allocation Network architecture Power supply Video signal processing Remote sensing Topological structure Control unit DS-CDMA Biomimetics Cross-layer approach cross-layer optimization Direct sequence Signal detection Quality criterion Source coding Measurement sensor H.264/AVC Algorithm Signal classification Channel coding Particle swarm optimization Simulation visual sensor networks Bargaining Code division multiple access Wireless network clustering Sensor array nash bargaining solution
ISSN:	1057-7149, 1941-0042, 1941-0042
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Shrnutí:	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 that 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.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Article-2 ObjectType-Feature-1
ISSN:	1057-7149 1941-0042 1941-0042
DOI:	10.1109/TIP.2013.2286323