Analytical Study of Collaborative Information Coverage for Object Detection in Sensor Networks

—Many sensor networks are deployed for the purpose of covering and monitoring a particular region, and detecting the object of interest in the region. In this paper, based on the probabilistic sensing model, we conduct comprehensive analytical and simulation studies on collaborative information coverage and object detection in wireless sensor networks. More specifically, we first define point information coverage and based on that we define ρ-coverage as a measure of the coverage performance for a randomly-deployed wireless sensor network. Then, we investigate the coverage and object detection performances of several simple decision fusion-based collaborative mechanisms and find that simple collaborations among active sensors indeed degrade the coverage performance due to the requirement of maintaining the target false detection probability. This motivates us to develop an on-demand collaborative framework for object detection, whose effectiveness is supported by detailed theor...

• Type: Conference
• Year: 2008
• Where: SECON
• Authors: Guanqun Yang, Vinod Shukla, Daji Qiao
• Keywords: Communications, Object Detection, SECON 2008, Sensor Network, Wireless Sensor Network