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Journal of Sensors
Volume 2013 (2013), Article ID 414731, 13 pages
Research Article

MAC-Aware and Power-Aware Image Aggregation Scheme in Wireless Visual Sensor Networks

Department of Information Management, Shih Hsin University, No. 1, Lane 17, Section 1, Mu-Cha Road, Taipei City 116, Taiwan

Received 19 July 2012; Revised 10 January 2013; Accepted 15 January 2013

Academic Editor: Christos Riziotis

Copyright © 2013 Yui-Liang Chen and Hong-Hsu Yen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Traditional wireless sensor networks (WSNs) transmit the scalar data (e.g., temperature and irradiation) to the sink node. A new wireless visual sensor network (WVSN) that can transmit images data is a more promising solution than the WSN on sensing, detecting, and monitoring the environment to enhance awareness of the cyber, physical, and social contexts of our daily activities. However, the size of image data is much bigger than the scalar data that makes image transmission a challenging issue in battery-limited WVSN. In this paper, we study the energy efficient image aggregation scheme in WVSN. Image aggregation is a possible way to eliminate the redundant portions of the image captured by different data source nodes. Hence, transmission power could be reduced via the image aggregation scheme. However, image aggregation requires image processing that incurs node processing power. Besides the additional energy consumption from node processing, there is another MAC-aware retransmission energy loss from image aggregation. In this paper, we first propose the mathematical model to capture these three factors (image transmission, image processing, and MAC retransmission) in WVSN. Numerical results based on the mathematical model and real WVSN sensor node (i.e., Meerkats node) are performed to optimize the energy consumption tradeoff between image transmission, image processing, and MAC retransmission.