This paper discusses networked sensors that are randomly distributed to monitor and detect a target object moving on a trajectory. On the basis of analysis results, we propose a method for estimating the shape and size of a target object by using sensors whose locations are unknown. It is surprising that sensors that individually are incapable of monitoring the target object's shape can be used to estimate it without sensor location information. An example shows that a combination of sensors with different sensing areas can increase the shape estimation performance. This estimation method can work for any trajectory and with sensor areas of arbitrary shape and size.
['Hiroshi Saito', 'Shigeo Shioda', 'Junko Harada']
Shape and size estimation using stochastically deployed networked sensors