A Low Energy Image Compression and Transmission in Wireless Multimedia Sensor Networks

AbstractWireless Multimedia Sensor networks (WMSNs) have shifted the focus from scalar wireless sensor networks to networks with multimedia devices that are capable to retrieve video, images, audio, as well as scalar sensor data. However, the traditional image compression algorithms that need too much computation can deplete nodes’ energy quickly and shorten the network lifetime. In this paper, we analyze the JPEG standard and improved version in WMSNs in detail. Then we propose a novel Low Energy Image Compression Algorithm (LEICA) that is based on an interest area in WMSNs. LEICA can keep an image quality of an interest area and increase the compression ratio of the whole image. Furthermore, LEICA can prolong the network lifetime. Simulation experiments show the advantages of LEICA