Digital Image Processing Using MATLAB
Digital Image Processing Using MATLAB
Cyclops: in situ image sensing and interpretation in wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
CMOS image sensors for sensor networks
Analog Integrated Circuits and Signal Processing
Error resilient image transport in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy-efficient transmission of wavelet-based images in wireless sensor networks
Journal on Image and Video Processing
Collaborative image coding and transmission over wireless sensor networks
EURASIP Journal on Applied Signal Processing
Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution
IEEE Transactions on Parallel and Distributed Systems
Fast track article: Improved sensor network lifetime with multiple mobile sinks
Pervasive and Mobile Computing
Improving network lifetime with mobile wireless sensor networks
Computer Communications
Network lifetime optimization in wireless sensor networks
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
Energy-Balanced Transmission Policies for Wireless Sensor Networks
IEEE Transactions on Mobile Computing
A method for coordinating the distributed transmission of imagery
IEEE Transactions on Image Processing
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In wireless image sensor networks (WISNs), the nodes closer to the sink are likely to get over-burdened and run out of their battery energy at the early stage of network deployment. This has been reported in the literature as the energy-hole problem. In this paper, we propose to establish equal energy dissipation condition over the network to mitigate energy-hole problem. We consider a data gathering linear array of wireless camera sensor nodes. Each camera sensor node generates one raw image per data gathering cycle. The raw image captured by each camera sensor node is processed locally and sent to the sink node using intermediate nodes. Exact placement of nodes is derived to ensure equal energy dissipation over the network. The raw image is locally processed using discrete wavelet transform (DWT). Network lifetime and peak signal-to-noise-ratio (PSNR) of the reconstructed image are calculated at the sink node for several test images.