Understanding of any computing environment requires familiarity with its underlying
technologies. Internet of Things (IoT), being a new era of computing in the digital world, aims …

Conventional wisdom and common practice in acquisition and reconstruction of images from
frequency data follow the basic principle of the Nyquist density sampling theory. This …

Ubiquitous sensing enabled by Wireless Sensor Network (WSN) technologies cuts across
many areas of modern day living. This offers the ability to measure, infer and understand …

It is now well understood that (1) it is possible to reconstruct sparse signals exactly from what
appear to be highly incomplete sets of linear measurements and (2) that this can be done by …

A noise map facilitates monitoring of environmental noise pollution in urban areas. It can
raise citizen awareness of noise pollution levels, and aid in the development of mitigation …

We propose simple and extremely efficient methods for solving the basis pursuit problem
\min{‖u‖_1:Au=f,u∈R^n\}, which is used in compressed sensing. Our methods are based …

Incorporation of smart devices within the older framework has brought along significant
challenges. This paper presents a detailed analysis of the barriers faced during the …

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 …

Are you involved in designing the next generation of wireless networks? With spectrum
becoming an ever scarcer resource, it is critical that new systems utilize all available …

Wireless sensor networks produce a large amount of data that needs to be processed,
delivered, and assessed according to the application objectives. The way these data are …