Design and Analysis of Collaborate Object Detection Algorithm in Sensor Networks

Wireless sensor networks (WSNs) have attracted a lot of research attention. WSNs contain a large number of nodes that are capable of sensing, processing and transmitting environmental information. Based on these capabilities, object detection algorithm in WSNs has been studied in this paper. By detecting persistent object and ephemeral object, we investigate in detail the fundamental relationship of object detection probability and detection delay with different nodes density, sensing range and duty cycle. For Wireless Sensor Networks are composed of power-restrained nodes, so energy-efficiency is a key concern in WSNs. Balancing object detection performance and network lifetime is a challenge in WSNs. Base on the theoretical analysis, we propose a novel energy-aware wake up algorithm that significantly prolongs the life of WSNs and maintain the detection performance. Simulation results confirm with the theoretical analysis and demonstrate the advantage of EAS over previous proposed methods.