This paper describes a technique for the probabilistic self-localization of a sensor network based on noisy inter-sensor range data. Our method is based on a number of parallel in...
The process of computing the physical locations of nodes in a wireless sensor network is known as localization. Selflocalization is critical for large-scale sensor networks becaus...
— We consider a network of spatially distributed sensors deployed to track the intensity of a diffusing source whose location is fixed, but unknown. The sensors make discrete ti...
In this paper we introduce a new distributed algorithm for location discovery. It can be used in wireless ad-hoc sensor networks that are equipped with means of measuring the dista...
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...