Energy-efficient Coding and Error Control for Wireless Video-surveillance Networks

In this paper, we address the design of data processing and error control strategies for a wireless sensor network for video-surveillance applications, so as to optimize its performance in terms of energy consumption, information delivery delay, and information quality. First, we suggest a video coding strategy based on intelligent distributed processing, which yields very low power consumption. Then, we investi- gate the interactions between energy consumption, quality, and delay, and analyze the system performance when ARQ- and FEC-based error-control techniques are applied. As a result, we propose an optimal con- figuration for wireless video-surveillance networks which adapts to the radio channel state by effectively implementing FEC and ARQ techniques.