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Time-Efficient Allocation Mechanisms for Crowdsensing Tasks with Precedence Constraints.

Xiaocan Wu1, Yu-E Sun2,3, He Huang4,5

  • 1The School of Computer Science and Technology, Soochow University, Suzhou 215006, China. 20184227017@stu.suda.edu.cn.

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Summary
This summary is machine-generated.

This study introduces a novel mechanism for crowdsensing task allocation, minimizing execution time for tasks with precedence constraints. The approach is validated in Unmanned Aerial Vehicle (UAV) systems, showing efficient and near-optimal performance.

Keywords:
UAVcrowdsensingexecution time minimizationprecedence constrainttask allocation

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Artificial Intelligence

Background:

  • Crowdsensing leverages external participants for specialized tasks, offering efficiency and cost-effectiveness.
  • Unmanned Aerial Vehicle (UAV) crowdsensing systems often involve tasks with varying requirements and precedence constraints.
  • Minimizing total execution time is a critical objective for completing time-sensitive crowdsensing tasks.

Purpose of the Study:

  • To address the gap in existing research by proposing a mechanism for crowdsensing task allocation that considers precedence constraints and minimizes total execution time.
  • To develop an efficient allocation mechanism capable of handling complex task dependencies.

Main Methods:

  • An efficient allocation mechanism was designed to address tasks with precedence constraints.
  • A case study was conducted to demonstrate the mechanism's applicability within UAV crowdsensing systems.
  • Simulations were performed to evaluate the mechanism's performance under various parameter settings.

Main Results:

  • The proposed mechanism effectively minimizes the total execution time for crowdsensing tasks with precedence constraints.
  • The mechanism demonstrated good approximate optimal ratios in simulations.
  • The approach proved efficient for UAV crowdsensing applications.

Conclusions:

  • The developed allocation mechanism offers a novel solution for optimizing crowdsensing task execution time under precedence constraints.
  • The study highlights the practical applicability and efficiency of the proposed method in UAV crowdsensing environments.
  • This work contributes to advancing the field of efficient task scheduling in distributed sensing systems.