Huge data processing contributes many factors in wireless sensor network such as network
traffic and energy constraint. Using compressive sensing a new technique in data …

This paper presents lossless compression algorithm to minimize the power consumption of
the wireless sensor network (WSN). The sensor and receiver node consumes more power …

We design a kind of wireless sensor network node for collecting parameters about
environments of farmland, and employ compressive sensing algorithm in wireless sensor …

Wireless sensor networks are resource constrained with less memory space, limited power
supply, processing speed and availability of bandwidth for communication. Information …

Main constraints of wireless sensor networks (WSN) are less memory space, limited power
supply, processing speed and availability of bandwidth for communication. The most …

Wireless sensor network has become one of the most interesting and emerging areas of
research in the past decade. Recent advances in technologies have increased the use of …

The sensor nodes in Wireless Sensor Network sense the physical environment and the
sensed information is transferred to the destination. Data Collection is a crucial function of a …

Purpose–The purpose of this paper is to find out the use of compressive sensing (CS)
algorithm for wireless sensor networks (WSNs). As energy-efficient algorithms are required …

One of the major constraints of using sensor networks in wireless medium is high power
dissipation at the time of signal transmission and reception by the sensor nodes. This greatly …

Nowadays, wireless sensor networks (WSNs) have found many applications in a variety of
topics. The main objective in WSNs is to measure environmental phenomena and send …