2-hop neighborhood information for cover set selection in mission-critical surveillance with Wireless Image Sensor Networks

摘要: Mission-critical surveillance applications such as intrusion detection or disaster response have vital requirement in QoS. We consider a Wireless Image Sensor Network (WISN) with scheduling of image sensor node's activity based on the application criticality level. Sentry nodes capable detecting intrusions higher probability than others will alert neighbor well activating cover sets member for disambiguation situation-awareness purposes. In order to optimize performance transfer from multiple Sink we propose 2-hop neighborhood information- set selection determine most relevant sets. Then, be consistent our proposed approach, multi-path extension Greedy Perimeter Stateless Routing (called T-GPSR) wherein routing decisions are also information is proposed. Simulation results show that proposal reduces packet losses, enabling fast delivery and visual quality received images at Sink.