Emergency Task Allocation Mechanism Based on Reputation and Region

Shiyue Dai, Lei An, Yixin Zhu, Gan Shao, Yabin Qin, Lanlan Rui

2022

Abstract

In the communication network operation and maintenance management system structure, on-site operation and maintenance is at bottom position, and its quality and efficiency play a vital role in the smooth operation of the communication network. For emergencies in on-site scenes, we proposed an emergency task allocation method. We predict the completion by evaluating staff’s historical working expressiveness and activeness. Then, we combine the staff’s comprehensive reputation and movement pattern to design task allocation and personnel scheduling methods. Experiments proves our mechanism can reasonably allocate unexpected tasks based on accurately evaluating the ability of staff, and improve both allocation successful rate and completion quality. Our emergency task allocation mechanism can effectively improve the quality and efficiency of on-site operation and maintenance, and enhance the anti-damage ability of the communication network.

Paper Citation

in Harvard Style

Dai S., An L., Zhu Y., Shao G., Qin Y. and Rui L. (2022). Emergency Task Allocation Mechanism Based on Reputation and Region. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 686-692. DOI: 10.5220/0012017000003612

in Bibtex Style

@conference{isaic22,
author={Shiyue Dai and Lei An and Yixin Zhu and Gan Shao and Yabin Qin and Lanlan Rui},
title={Emergency Task Allocation Mechanism Based on Reputation and Region},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={686-692},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012017000003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Emergency Task Allocation Mechanism Based on Reputation and Region
SN - 978-989-758-622-4
AU - Dai S.
AU - An L.
AU - Zhu Y.
AU - Shao G.
AU - Qin Y.
AU - Rui L.
PY - 2022
SP - 686
EP - 692
DO - 10.5220/0012017000003612
PB - SciTePress