Internet of things (IoT) paradigm poses new challenges to the communication technology as
numerous heterogeneous objects will need to be connected. To address these issues new …

This paper provides an overview of cognitive radio (CR) networks, with focus on the recent
advances in resource allocation techniques and the CR networks architectural design. The …

Many previous energy-efficient computation optimization works for mobile edge computing
(MEC) systems have been based on the assumption of synchronous offloading, where all …

Crowdsensing offers an efficient approach to meet the demand in large scale sensing
applications. In crowdsensing, it is of great interest to find the optimal task allocation, which …

Spectrum frequency is a valuable resource for wireless communication but very limited in its
availability. Due to the extensive use and ever increasing demand of spectrum bands by …

The cognitive radio (CR) paradigm for designing next‐generation wireless communications
systems is becoming increasingly popular, and different aspects of it are being implemented …

We propose a camera that measures static gradients instead of static intensities. Quantizing
sensed intensity differences between adjacent pixel values permits an ordinary A/D …

The dynamic spectrum access (DSA) among multiple heterogeneous primary spectrum
owners (POs) and secondary users (SUs) in recall-based cognitive radio networks is …

Mobile data demand is increasing tremendously in wireless social networks, and thus an
efficient pricing scheme for social-enabled services is urgently needed. Though static pricing …

Crowdsensing offers an efficient way to meet the demand in large-scale sensing
applications. In crowdsensing, optimal task allocation is challenging since sensing tasks …