Personalized task allocation strategy for mobile crowdsensing. The cost for a user to finish a sensing task depends on not only the distance but also the user's interest on the location of task. Then the problem is transformed into how to assign the tasks to users for minimizing the total cost.
Apr 2, 2022 · In this paper, we argue that the task allocation process is actually a dynamic combinational optimization problem because the previous allocated ...
Personalized task allocation strategy for mobile crowdsensing. The cost for a user to finish a sensing task depends on not only the distance but also the ...
The simulation results prove that the proposed strategy can achieve a trade-off between the objective of minimizing the cost and the fairness of tasks and users ...
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Crowdsensing tasks are usually described by certain features or attributes, and the task assignment essentially performs a matching w.r.t. worker or user's ...
A Personalized Task Allocation Strategy in Mobile Crowdsensing for Minimizing Total Cost. Sensors 2022, 22, 2751. https://doi.org/10.3390/s22072751. AMA ...
A comprehensive multi-task allocation model for MCS is formulated, in which maximizing the overall sensing quality of all tasks is the objective.
In most cases, in order to complete more tasks with less cost, we should assign tasks to suitable users, which raises the fundamental task assignment problem in ...
The key research issue at this stage is how to optimize the task allocation with the consideration of diverse factors, such as spatial coverage, incentive cost, ...
Mobile crowdsensing utilizes the devices of a group of users to cooperatively perform some sensing tasks, where finding the perfect allocation from tasks to ...