Collaborative sensing in internet of things: A comprehensive survey
Collaborative sensing leverages the cooperation of a collection of sensors to complete a
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …
Federated learning in smart city sensing: Challenges and opportunities
Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
Learning in the air: Secure federated learning for UAV-assisted crowdsensing
Unmanned aerial vehicles (UAVs) combined with artificial intelligence (AI) have opened a
revolutionized way for mobile crowdsensing (MCS). Conventional AI models, built on …
revolutionized way for mobile crowdsensing (MCS). Conventional AI models, built on …
Toward integrated large-scale environmental monitoring using WSN/UAV/Crowdsensing: A review of applications, signal processing, and future perspectives
A Fascista - Sensors, 2022 - mdpi.com
Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …
interest and sources of hot debate in today's society. According to the United Nations, there …
A survey on mobility of edge computing networks in IoT: State-of-the-art, architectures, and challenges
Edge computing leverages computing resources closer to the end-users at the edge of the
network, rather than distant cloud servers in the centralized IoT architecture. Edge …
network, rather than distant cloud servers in the centralized IoT architecture. Edge …
A survey on integrated sensing, communication, and computation
The forthcoming generation of wireless technology, 6G, promises a revolutionary leap
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …
ACP-based modeling of the parallel vehicular crowd sensing system: Framework, components and an application example
As an emerging paradigm for urban sensing, vehicular crowd sensing (VCS) has received
increasing attention in recent years. Unlike traditional sensing paradigms, VCS leverages …
increasing attention in recent years. Unlike traditional sensing paradigms, VCS leverages …
A triple real-time trajectory privacy protection mechanism based on edge computing and blockchain in mobile crowdsourcing
W Wang, Y Wang, P Duan, T Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …
A taxonomy study on securing Blockchain-based Industrial applications: An overview, application perspectives, requirements, attacks, countermeasures, and open …
Blockchain technology has taken on a leading position in today's industrial applications by
providing salient features and showing significant performance since its beginning …
providing salient features and showing significant performance since its beginning …
Enabling AI in future wireless networks: A data life cycle perspective
Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …
networks, which can be mostly attributed to the increasing communication and sensing …