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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Bibliographic Details
Published in:IEEE transactions on image processing Vol. 23; no. 1; pp. 56 - 68
Main Authors: Katsenou, Angeliki V., Kondi, Lisimachos P., Parsopoulos, Konstantinos E.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.01.2014
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
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
Online Access:Get full text
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Description
Summary: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.
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ISSN:1057-7149
1941-0042
1941-0042
DOI:10.1109/TIP.2013.2286323