Entropy Based Image Segmentation for Energy Efficient LTE System with Cloud

Nowadays LTE network provides high speed data transmission for advanced web based applications and consumes lot of energy. Energy consumption needs to be minimized for a mobile devices running on batteries. In this paper, we have considered a problem of minimizing total energy consumption of a mobile device transmitting an image to cloud through LTE network with a specific bit error rate requirement. Total energy consumption per information bit is calculated by measuring computation energy, circuit energy and radio energy. We have also proposed an algorithm to minimize the total energy consumption while transferring the image. The algorithm makes use of the information entropy of the segments that the image contains. We have also given the complexity of the algorithm in terms of the total number of required operations. As compared to the energy required for transferring the fully uncompressed or fully compressed image, our optimized algorithm can save upto 26 % energy. Energy saving depends on transmission distance and required bit error rate.