An efficient vehicle-to-vehicle (V2V) energy sharing framework
The proliferation of electric vehicles (EVs), owing to their advantages over internal
combustion engine vehicles, has introduced many challenges, due to the lack of charging …
combustion engine vehicles, has introduced many challenges, due to the lack of charging …
Ubiquitous computation in internet of vehicles for human-centric transport systems
Abstract The Internet of Vehicles (IoV) has the potential to bring about a revolutionary
transformation in transportation through its influence on human behavior and interactions …
transformation in transportation through its influence on human behavior and interactions …
Data-driven many-objective crowd worker selection for mobile crowdsourcing in industrial IoT
Z Lu, Y Wang, X Tong, C Mu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the development of mobile networks and intelligent equipment, as a new intelligent
data sensing paradigm in large-scale sensor applications such as the industrial Internet of …
data sensing paradigm in large-scale sensor applications such as the industrial Internet of …
A context-aware blockchain-based crowdsourcing framework: Open challenges and opportunities
Crowdsourcing is a rapidly growing paradigm that commercial platforms such as Amazon
MTurk and UpWork are adopting for allocating tasks to workers. Such frameworks typically …
MTurk and UpWork are adopting for allocating tasks to workers. Such frameworks typically …
SenseChain: A blockchain-based crowdsensing framework for multiple requesters and multiple workers
In this paper, we propose a decentralized crowdsensing framework for multiple requesters
with multiple workers built on Ethereum blockchain-SenseChain. Crowdsensing frameworks …
with multiple workers built on Ethereum blockchain-SenseChain. Crowdsensing frameworks …
A stable matching game for v2v energy sharing–a user satisfaction framework
Electric Vehicles (EVs) are being widely adopted to completely replace vehicles with internal
combustion engines. However, the development of charging infrastructure to support the …
combustion engines. However, the development of charging infrastructure to support the …
Heterogeneous multi-project multi-task allocation in mobile crowdsensing using an ensemble fireworks algorithm
X Shen, D Xu, L Song, Y Zhang - Applied Soft Computing, 2023 - Elsevier
With the development of Internet of Things (IoT), Mobile CrowdSensing (MCS) platform will
release projects consisting of heterogeneous tasks, requiring participants with different skills …
release projects consisting of heterogeneous tasks, requiring participants with different skills …
Multi-task allocation in mobile crowd sensing with mobility prediction
J Zhang, X Zhang - IEEE Transactions on Mobile Computing, 2021 - ieeexplore.ieee.org
Mobile crowd sensing (MCS) is a popular sensing paradigm that leverages the power of
massive mobile workers to perform various location-based sensing tasks. To assign workers …
massive mobile workers to perform various location-based sensing tasks. To assign workers …
Multi-perspective trust management framework for crowdsourced IoT services
We propose a novel generic trust management framework for crowdsourced IoT services.
The framework exploits a multi-perspective trust model that captures the inherent …
The framework exploits a multi-perspective trust model that captures the inherent …
A predictive target tracking framework for IoT using CNN–LSTM
This paper addresses the issue of tracking a mobile target, through a data-driven active
sensor selection mechanism in the Internet of Things (IoT) sensing applications. IoT …
sensor selection mechanism in the Internet of Things (IoT) sensing applications. IoT …