Image compression algorithm considering energy balance on wireless sensor networks

This paper proposes an image compression algorithm that balances energy consumption among nodes in a wireless sensor network cluster. The proposed algorithm uses a Lapped Transform technique, an extended version of the Discrete Cosine Transform. In the proposed method, the compression process is divided into several small processing components, which are then distributed to multiple nodes while considering their residual energy. The proposed scheme not only solves the energy balance problem by coordination of the processing of tasks but also reduces block noise in image compression.