Learn all you need to know about wireless sensor networks! Protocols and Architectures for
Wireless Sensor Networks provides a thorough description of the nuts and bolts of wireless …

This paper presents the first complete design to apply compressive sampling theory to
sensor data gathering for large-scale wireless sensor networks. The successful scheme …

Awareness of data and information quality issues has grown rapidly in light of the critical role
played by the quality of information in our data-intensive, knowledge-based economy …

In this paper we investigate the problem of uneven energy consumption in a large class of
many-to-one sensor networks. In a many-to-one sensor network, all sensor nodes generate …

Wireless sensor networks promise an unprecedented fine-grained interface between the
virtual and physical worlds. They are one of the most rapidly developing information …

The efficacy of data aggregation in sensor networks is a function of the degree of spatial
correlation in the sensed phenomenon. The recent literature has examined a variety of …

Compressive Sampling is an emerging theory that is based on the fact that a relatively small
number of random projections of a signal can contain most of its salient information. In this …

Energy conservation is an important design consideration for battery powered wireless
sensor networks (WSNET). Energy constraint in WSNETs limits the total amount of sensed …

In wireless sensor networks, one is not interested in downloading all the data from all the
sensors. Rather, one is only interested in collecting from a sink node a relevant function of …

In a many-to-one sensor network, all sensor nodes generate CBR data and send them to a
single sink via multihop transmissions. Sensor nodes sitting around the sink need to relay …