Compressed sensing technology is one of the effective techniques to effectively reduce the
amount of data transmission in wireless sensor networks. Compressed sensing technology …

Compressive data gathering (CDG) based on compressed sensing (CS) theory for wireless
sensor networks (WSNs) greatly reduces the amount of data transmitted compared with the …

Compressive sensing based in-network compression is an efficient technique to reduce
communication cost and accurately recover sensory data at the sink. Existing compressive …

Wireless sensor networks (WSNs) have captivated substantial attention from both industrial
and academic research since last few years. The major factor behind the research efforts in …

While wireless sensor networks (WSNs) are increasingly equipped to handle more complex
functions and innetwork processing may require these battery powered sensors to …

The minimization of energy consumption related to data acquisition is of prime importance in
energy constrained Wireless Sensor Networks (WSNs). The application of Compressive …

In this paper, we propose an efficient load-balanced clustered routing protocol (ERPLBC-
CS) by combining new clustering strategy with compressive sensing (CS) theory to achieve …

Compressive sensing (CS) is a developed theory that is based on the fact that a small
number of linear projections of a sparse data contain enough information for reconstruction …

Compressive sensing (CS) can reduce the number of data transmissions and balance the
traffic load throughout networks. However, the total number of transmissions for data …

In wireless sensor networking applications, collecting sensed data and relaying it to the
base station in an energy efficient manner is of paramount importance. It follows that power …