Deep reinforcement learning-based energy-efficient edge computing for internet of vehicles
Mobile network operators (MNOs) allocate computing and caching resources for mobile
users by deploying a central control system. Existing studies mainly use programming and …
users by deploying a central control system. Existing studies mainly use programming and …
POTA: Privacy-preserving online multi-task assignment with path planning
Privacy-preserving online multi-task assignment is a crucial aspect of spatial crowdsensing
on untrusted platforms, where multiple real-time tasks are allocated to appropriate workers …
on untrusted platforms, where multiple real-time tasks are allocated to appropriate workers …
When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives
Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
Multi-UAV collaborative sensing and communication: Joint task allocation and power optimization
Due to the features of on-demand deployment and flexible observation, unmanned aerial
vehicles (UAVs) are promising for serving as the next-generation aerial sensors by using …
vehicles (UAVs) are promising for serving as the next-generation aerial sensors by using …
Footstone of metaverse: A timely and secure crowdsensing
Recently, the metaverse has been a hot research topic that fuses multiple cutting-edge
techniques, including virtual reality (VR), augmented reality (AR), artificial intelligence (AI) …
techniques, including virtual reality (VR), augmented reality (AR), artificial intelligence (AI) …
A resource allocation scheme for joint optimizing energy consumption and delay in collaborative edge computing-based industrial IoT
Z Jin, C Zhang, Y Jin, L Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Attributable to the emergence of mobile edge computing (MEC), the hardware-constrained
industrial devices have further computational and service capability in industrial Internet of …
industrial devices have further computational and service capability in industrial Internet of …
Towards time-constrained task allocation in semi-opportunistic mobile crowdsensing
Mobile crowdsensing (MCS) is an emerging sensing paradigm that leverages mobile users
carrying smart devices to perform sensing tasks. On the one hand, as the sensing scenarios …
carrying smart devices to perform sensing tasks. On the one hand, as the sensing scenarios …
Utility-based heterogeneous user recruitment of multitask in mobile crowdsensing
G Ma, H Chen, Y Huang, W Wei, X Liu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the rich sensing ability and extensive usage of various sensors, mobile crowdsensing
(MCS) has become a new paradigm to collect sensing data for various sensing applications …
(MCS) has become a new paradigm to collect sensing data for various sensing applications …
Efficiently Identifying Unknown COTS RFID Tags for Intelligent Transportation Systems
Over the last decade, the Internet of Things (IoT) technology has advanced significantly in a
variety of fields. As a pivotal application of IoT, intelligent transportation systems (ITS) have …
variety of fields. As a pivotal application of IoT, intelligent transportation systems (ITS) have …
Multi-Task Data Collection With Limited Budget in Edge-Assisted Mobile Crowdsensing
Due to the swift advancement of edge computing and mobile crowdsensing (MCS), edge-
assisted MCS (EAMCS) has emerged as a promising paradigm, leveraging sensor …
assisted MCS (EAMCS) has emerged as a promising paradigm, leveraging sensor …