Results 271 to 280 of about 4,523,012 (337)
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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
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
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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
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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
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
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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
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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
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
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
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IEEE transactions on intelligent transportation systems (Print), 2023
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the remarkable potential to reduce response delay and alleviate bandwidth pressure.
Lei Liu +5 more
semanticscholar +1 more source
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the remarkable potential to reduce response delay and alleviate bandwidth pressure.
Lei Liu +5 more
semanticscholar +1 more source
DRL-Driven Dynamic Resource Allocation for Task-Oriented Semantic Communication
IEEE Transactions on Communications, 2023Semantic communication has been regarded as a promising technology to serve upcoming intelligent applications. However, few studies have addressed the problem of resource allocation in semantic communication networks.
Haijun Zhang +4 more
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Analytic Cognitive Task Allocation: a decision model for cognitive task allocation
Theoretical Issues in Ergonomics Science, 2007This paper introduces Analytic Cognitive Task Allocation (Analytic CTA) as a decision model for cognitive task allocation. Analytic CTA can support system designers systematically analyse alternative allocation choices, evaluate them through criterion-based quantitative judgements and integrate partial judgements towards a final allocation decision ...
S. Papantonopoulos, G. Salvendy
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