By analyzing the similarities between bit streams coming from a network of motion detectors, we can recover the network geometry and discover structure in the human behavior being...
Christopher Richard Wren, David C. Minnen, Sriniva...
The resolution at which a sensor network collects data is a crucial parameter of performance since it governs the range of applications that are feasible to be developed using tha...
Aman Kansal, William J. Kaiser, Gregory J. Pottie,...
Wireless sensor networks are capable of collecting an enormous amount of data over space and time. Often, the ultimate objective is to derive an estimate of a parameter or functio...
Stationary wireless sensor networks (WSNs) fail to scale when the area to be monitored is open (i.e borderless) and the physical phenomena to be monitored may migrate through a la...
Seokhoon Yoon, Onur Soysal, Murat Demirbas, Chunmi...
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...