Results 271 to 280 of about 6,713,634 (328)
Some of the next articles are maybe not open access.
IEEE Transactions on Network Science and Engineering, 2023
Mobile crowdsensing (MCS) leverages crowd intelligence, i.e., smart devices and their owners, to collect data in an intelligent and cost-efficient manner.
Chenghao Xu, Wei Song
semanticscholar +1 more source
Mobile crowdsensing (MCS) leverages crowd intelligence, i.e., smart devices and their owners, to collect data in an intelligent and cost-efficient manner.
Chenghao Xu, Wei Song
semanticscholar +1 more source
Key factors that influence task allocation in global software development
Information and Software Technology, 2017 Context: Planning and managing task allocation in Global Software Development (GSD) projects is both critical and challenging. To date, a number of models that support task allocation have been proposed, including cost models and risk-based multi ...
Sajjad Mahmood +2 more
exaly +2 more sources
Manufacturing & Service Operations Management, 2021
Problem definition: Tasks sequentially arrive, and their values to the workers who are going to perform them are independent random variables. The common way to allocate tasks to workers is according to the first-in, first-out order. But this method both is inefficient and seems unfair to those who receive a low-valued task after a long wait.
Refael Hassin, Adam Nathaniel
openaire +2 more sources
Problem definition: Tasks sequentially arrive, and their values to the workers who are going to perform them are independent random variables. The common way to allocate tasks to workers is according to the first-in, first-out order. But this method both is inefficient and seems unfair to those who receive a low-valued task after a long wait.
Refael Hassin, Adam Nathaniel
openaire +2 more sources
IEEE transactions on intelligent transportation systems (Print), 2023
In an internet of vehicle (IoV) scenario, vehicular edge computing (VEC) exploits the computing capabilities of the vehicles and roadside unit (RSU) to enhance the task processing capabilities of the vehicles.
Wenhao Fan +6 more
semanticscholar +1 more source
In an internet of vehicle (IoV) scenario, vehicular edge computing (VEC) exploits the computing capabilities of the vehicles and roadside unit (RSU) to enhance the task processing capabilities of the vehicles.
Wenhao Fan +6 more
semanticscholar +1 more source
Proceedings of the 3rd International Conference on Application and Theory of Automation in Command and Control Systems, 2013
The goal of the paradigm shift in Air Traffic Management (ATM) is to increase its overall performance by means of redesigning processes, evolving to a more automated, autonomous and predictable system. Nevertheless, when dealing with automation, it is important to determine until what extent can any part of the system or process be automated, that is ...
Rocío Barragán Montes +2 more
openaire +2 more sources
The goal of the paradigm shift in Air Traffic Management (ATM) is to increase its overall performance by means of redesigning processes, evolving to a more automated, autonomous and predictable system. Nevertheless, when dealing with automation, it is important to determine until what extent can any part of the system or process be automated, that is ...
Rocío Barragán Montes +2 more
openaire +2 more sources
IEEE Transactions on Vehicular Technology, 2023
For multi-task mobile edge computing (MEC) systems in satellite Internet of Things (IoT), there are dependencies between different tasks, which need to be collected and jointly offloaded.
Furong Chai +5 more
semanticscholar +1 more source
For multi-task mobile edge computing (MEC) systems in satellite Internet of Things (IoT), there are dependencies between different tasks, which need to be collected and jointly offloaded.
Furong Chai +5 more
semanticscholar +1 more source
Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing
IEEE Transactions on Mobile Computing, 2023We consider the problem of task offloading and resource allocation in mobile edge computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile devices (MDs) may offload their tasks to edge servers based on the allocated ...
Hongbo Jiang +3 more
semanticscholar +1 more source
Q-Learning-Based Hyperheuristic Evolutionary Algorithm for Dynamic Task Allocation of Crowdsensing
IEEE Transactions on Cybernetics, 2021Task allocation is a crucial issue of mobile crowdsensing. The existing crowdsensing systems normally select the optimal participants giving no consideration to the sudden departure of mobile users, which significantly affects the sensing quality of ...
Jianjiao Ji +4 more
semanticscholar +1 more source
Reinforcement-Learning-Assisted Multi-UAV Task Allocation and Path Planning for IIoT
IEEE Internet of Things JournalExploring the widespread applications of unmanned aerial vehicles (UAVs) in Internet of Things has become a current research hotspot. In some tasks related to UAV-based environmental monitoring and transportation, the simultaneous consideration of UAV ...
Guodong Zhao +4 more
semanticscholar +1 more source
Multi-UAV Cooperative Task Offloading and Resource Allocation in 5G Advanced and Beyond
IEEE Transactions on Wireless CommunicationsIn 5G advanced and beyond, latency-critical and computation-intensive applications require more communication and computing resources. However, remote areas without available terrestrial edge/cloud infrastructure fail to satisfy these applications ...
Hongzhi Guo +3 more
semanticscholar +1 more source