The emergence of human-motion-based energy harvesters is a reflection of the need to
develop future energy supplies for small-scale human-motion-based self-powered and self …

Data collection is an essential part of sensor devices, particularly in such technologies like
Internet of Things (IoT), wireless sensor networks (WSN), and sensor cloud (SC). In recent …

Mobile crowdsensing systems typically operate centralized cloud storage management, and
the environment data sensed by the participants are usually uploaded to certain central …

The development of the efficient sparse signal recovery algorithm is one of the important
problems of the compressive sensing theory. There exist many types of sparse signal …

The newly emerging energy-harvesting cognitive radio networks (EH-CRNs) have drawn
significant research interests in the fields of spectrum reuse and lifetime prolongation. This …

(57) ABSTRACT A method of communicating information, comprising mod eling a stream of
sensor data, to produce parameters of a predictive statistical model; communicating …

A wireless sensor network (WSN) is made up of numerous wireless sensors that may be
used for a variety of purposes, including security surveillance, terror threat detection, health …

Low-power wireless sensor networks (WSNs) consist of a large number of battery-operated
sensors deployed over an area for objectives such as monitoring environments, tracking …

Compression refers to reducing the amount of data bits which used to represent store and/or
transmit file content, without excessively reducing the amount of the input data. Data …

In this time of distant sensor frameworks (WSNs) and IOTs, topological control for changing
stack among sensor center points requires a useful plot that can overhaul the orchestrate …