C. Liu, K. Wu and J. Pei, “An Energy-Efficient Data Collection Framework for Wireless Sensor Networks by Exploiting Spatiotemporal Correlation,” IEEE Transactions on Parallel and Distributed Systems, Vol. 18, No. 7, 2007, pp. 1010-1023. doi:10.1109/TPDS.2007.1046

has been cited by the following article:

• TITLE: Energy Efficient Content Based Image Retrieval in Sensor Networks

  AUTHORS: Qurban A. Memon, Hend Alqamzi

  KEYWORDS: Image Sensor Networks; Image Identification in Sensor Network; Camera Sensor Networks; Distributed Image Search

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.5 No.7, July 25, 2012

  ABSTRACT: The presence of increased memory and computational power in imaging sensor networks attracts researchers to exploit image processing algorithms on distributed memory and computational power. In this paper, a typical perimeter is investigated with a number of sensors placed to form an image sensor network for the purpose of content based distributed image search. Image search algorithm is used to enable distributed content based image search within each sensor node. The energy model is presented to calculate energy efficiency for various cases of image search and transmission. The simulations are carried out based on consideration of continuous monitoring or event driven activity on the perimeter. The simulation setups consider distributed image processing on sensor nodes and results show that energy saving is significant if search algorithms are embedded in image sensor nodes and image processing is distributed across sensor nodes. The tradeoff between sensor life time, distributed image search and network deployed cost is also investigated.