Energy conservation for image transmission over wireless sensor networks

Images processing is one of the most important applications for wireless sensor networks. One of the major challenges in enabling images transmission in wireless sensor network will be the need to process and wirelessly transmit very large amounts of data. Therefore, optimized computation and energy dissipation are critical requirements to maximize the lifetime of the sensor network. To address this problem, the energy efficient image compression over a resource constrained multi-hop wireless network is considered. Adaptive Wavelet Image Compression and Organization (AWICOA) is an algorithm that ensures efficient energy dissipation and low computation overhead on the sensor nodes. The proposed algorithm is investigated with respect to energy consumption and image quality. Performance studies indicate that the proposed algorithm enabling significant reductions in computation as well as communication energy needed.