Adaptive Sensor Placement and Boundary Estimation for Monitoring Mass Objects

Sensor networks are widely used in monitoring and tracking a large number of objects. Without prior knowledge on the dynamics of object distribution, their density estimation could be learned in an adaptive manner to support effective sensor placement. After sensors observe the "current" locations of objects, the estimates of object distribution are updated with these new observations through a recursive distributed expectation

• Type: Journal
• Year: 2008
• Where: TSMC
• Authors: Zhen Guo, MengChu Zhou, Guofei Jiang
• Keywords: Adaptive Sensor Placement, Effective Sensor Placement, Sensor Placement, TSMC 2008