Wireless Sensor Network for Video Sensors

Part of the KAIST Research Series book series (KAISTRS)


This chapter reviews various wireless sensor networks that have been proposed in the literature or have been widely used as experimental or commercial networks. It then analyzes topologies of sensor networks and compares various routing protocols for classical wireline networks and wireless sensor networks. While many types of wireless sensor networks have been developed, most of them are targeted for low data rate sensor devices with sparse events. In such networks, only one RF channel is often used, and they still can find routing solutions that provide data throughput enough for all the sensors and also meet their low power requirements. As the speed and range of wireless networks improve, wireless networks have been adopted for video sensors such as surveillance cameras, and factory or field monitoring cameras. These video sensors usually have much higher data rate and tighter power requirements than the above low rate sensors, and so demand more complex routing schemes. The goal of routing for video sensor network is also different from the low rate sensor network. Its goal is usually the real-time delivery of high data rate bursty video streams from all active video sensors. This chapter introduces new routing and channel allocation methods that use multiple channels and realistic link utilization models. It discusses how to extend the multi-channel routing methods for video sensor networks to various future applications including smart grid and vehicle-to-vehicle wireless networks.


Wireless sensor network Routing and channel allocation Video sensor network 



This work is supported by the Center for Integrated Smart Sensors funded by the Ministry of Science, ICT and Future Planning as the Global Frontier Project.


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Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  1. 1.School of Electronics EngineeringChungbuk National UniversitySeowon-Gu, CheongjuKorea

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