L Xiao, Y Li, G Han, H Dai… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is vulnerable to faked sensing attacks, as selfish smartphone users sometimes provide faked sensing results to the MCS server to save their sensing costs …
Machine learning finds rich applications in Internet of Things (IoT) networks such as information retrieval, traffic management, spectrum sensing, and signal authentication. While …
Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was inspired by recent developments in the fields of reinforcement learning (RL) and cyber …
With the proliferation of sensor-rich mobile devices, crowd sensing has emerged as a new paradigm of collecting information from the physical world. However, the sensory data …
T Liu, J Li, F Shu, M Tao, W Chen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Recently, content-aware-enabled distributed caching relying on local small-cell base stations (SBSs), namely, smallcell caching, has been intensively studied for reducing …
Y Hu, R Zhang - IEEE/ACM Transactions on Networking, 2020 - ieeexplore.ieee.org
Database-driven Dynamic Spectrum Sharing (DSS) is the de-facto technical paradigm adopted by Federal Communications Commission for increasing spectrum efficiency, which …
EM Onyema, S Balasubaramanian, C Iwendi… - Measurement …, 2023 - Elsevier
Remote monitoring is the process that monitors and observes information from a distance utilizing sensors or electronic types of equipment. Remote monitoring is used in real-time …
J Ryu, S Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Irrespective of whether the environment is wired or wireless, routing is an important challenge in networks. Since mobile ad hoc networks (MANETs) are flexible and …
Mobile crowdsensing (MCS) is widely applied in large-scale distributed networks for collecting sensing data from workers. In an MCS system, workers are recruited to complete …