This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
Volkan Cevher, Petros Boufounos, Richard G. Barani...
— 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...
Wireless sensor networks are widely adopted in many location-sensitive applications including disaster management, environmental monitoring, military applications where the precise...
The sensor network localization, SNL , problem in embedding dimension r, consists of locating the positions of wireless sensors, given only the distances between sensors that are ...
The most advanced logistics solutions that are currently adopted in ports and terminals use RFID- and GPS-based technologies to identify and localize shipping containers in the ya...
Stefano Abbate, Marco Avvenuti, Paolo Corsini, Ale...