Network lifetime and stealth time of wireless video sensor intrusion detection systems under risk-based scheduling

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. We also show that a simple form of reinforcement behavior used conjointly with the risk-based management succeeds in increasing further the network lifetime.