Video Delivery in Wireless Sensor Networks

Abstract

Recent advances in wireless communications technology and low-power, low-cost CMOS imaging sensors stimulate research on the analysis and design of ubiquitous video sensing and delivery in wireless sensor networks. However, scalable deployments remain limited or impractical. Critical challenges such as radio interference, limited channel capacity, and constrained energy resources are still barriers to large-scale deployment of these wireless video sensor networks. The solution space can be explored in several dimensions including data compression, video image analysis and extraction, and intelligent data routing. In this chapter we focus on the analysis of video delivery and data routing techniques for wireless video sensor networks. Our work is intended to inspire additional efforts leading to video routing techniques optimized to different topologies, the physical medium, network channels, and energy constraints.

Best cover set selection with multi-criteria approach in mission-critical surveillance for Wireless Image Sensor Networks

“…With no control, this can produce significant data losses due to network congestion. Multipath routing is often regarded as a solution to improve communication performance in WSN: data transmission reliability, bandwidth aggregation, load balanced transmission, congestionfree transmission, low latency transmission,... [25], [26], [27]. Multipath routing is the establishment of multiple paths between a pair (source, destination) for data transmission.…”