This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde...
Continuously understanding a user's location context in colloquial terms and the paths that connect the locations unlocks many opportunities for emerging applications. While ...
Donnie H. Kim, Younghun Kim, Deborah Estrin, Mani ...
Personal mobile devices are increasingly equipped with the capability to sense the physical world (through cameras, microphones, and accelerometers, for example) and the network w...
Cory Cornelius, Apu Kapadia, David Kotz, Daniel Pe...
This paper proposes the use of a wireless sensor network of “cat’s eye” augmented with embedded processing, communication, and sensing capabilities to monitor vehicle behavi...
Wireless Multimedia Sensor Networks (WMSNs) have brought unprecedented potentials for applications requiring ubiquitous access to multimedia contents such as still images. However,...