We propose energy-efficient compressed sensing for wireless sensor networks using spatially-localized sparse projections. To keep the transmission cost for each measurement low, we...
Recent advances in low-power sensing devices coupled with the widespread availability of wireless ad-hoc networks have fueled the development of sensor networks. These are typical...
Amir Soheili, Vana Kalogeraki, Dimitrios Gunopulos
With the increased realisation of the benefits of studying environmental data, sensor networks are rapidly scaling in size, heterogeneity of data, and applications. In this paper...
Denial of Sleeping is a novel type of potential attacks in wireless network. The object of the attack is a sensor node’s power supply. To make sensors inexpensive so that they ca...
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...