Efficient Video Multicast in Wireless Surveillance Networks for Intelligent Building

Video surveillance deployed over a flexible Wireless Ad-hoc NETwork (WANET) is gaining popularity in building and home environments. Energy-efficient multicasting is an important issue in surveillance, since camera sensors are always equipped with limited energy capacities. Many works have considered the problem of maximizing the multicast lifetime by assigning the transmission range of nodes. However, the bandwidth required by the video stream is ignored, although it can also affect the lifetime of the multicast. Scalable Video Coding (SVC) standardizes the encoding of a high-quality video bitstream containing several subset bitstreams. A subset bitstream could be extracted by dropping packets from the larger video stream to reduce the bandwidth consumption. Therefore, SVC provides a promising solution for increasing the video multicast lifetime by reducing the bandwidth, while also bring new challenges. In this paper, we investigate an Energy-Efficient Scalable Video Multicast (E2SVM) problem, which is to maximize the multicast lifetime in a WANET. A Grafting algorithm is also proposed to address the E2SVM problem. Simulations show that the performance of our proposed algorithm can increase the lifetime up to 14.3% compared to existing solutions.