Dynamic Risk-Based Scheduling and Mobility of Sensors for Surveillance System
Intrusion detection surveillance applications with wireless video sensor networks are those applications which require low energy consumption to increase network lifetime while at the time require a high level of quality of service. This paper show by simulation how a dynamic risk management scheme based on Bezier curves that takes into account the application's criticality can provide fast event detection for mission-critical surveillance applications while increasing at the same the network lifetime. The authors will also present some preliminary results on how to further increase network lifetime when some video sensor nodes have mobility feature. The motivation behind node's mobility is that video applications are characterized by their large amount of data so that a extra mobility cost can be justified as the video duration increases.