IEICE TRANSACTIONS on Information
Dynamic Incentive Mechanism for Industrial Network Congestion Control
Summary :
This paper studies using price incentives to shift bandwidth demand from peak to non-peak periods. In particular, cost discounts decrease as peak monthly usage increases. We take into account the delay sensitivity of different apps: during peak hours, the usage of hard real-time applications (HRAS) is not counted in the user's monthly data cap, while the usage of other applications (OAS) is counted in the user's monthly data cap. As a result, users may voluntarily delay or abandon OAS in order to get a higher fee discount. Then, a new data rate control algorithm is proposed. The algorithm allocates the data rate according to the priority of the source, which is determined by two factors: (I) the allocated data rate; and (II) the waiting time.
- Publication
- IEICE TRANSACTIONS on Information Vol.E104-D No.11 pp.2015-2018
- Publication Date
- 2021/11/01
- Publicized
- 2021/07/29
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2020EDL8135
- Type of Manuscript
- LETTER
- Category
- Information Network
Authors
Zhentian WU
Guangdong Electric Power Communication Technology Co., Ltd.
Feng YAN
Changsha Nonferrous Metallurgy Design and Research Institute Co., Ltd.
Zhihua YANG
Guangdong Electric Power Communication Technology Co., Ltd.
Jingya YANG
Changsha Nonferrous Metallurgy Design and Research Institute Co., Ltd.
Keyword
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Zhentian WU, Feng YAN, Zhihua YANG, Jingya YANG, "Dynamic Incentive Mechanism for Industrial Network Congestion Control" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 11, pp. 2015-2018, November 2021, doi: 10.1587/transinf.2020EDL8135.
Abstract: This paper studies using price incentives to shift bandwidth demand from peak to non-peak periods. In particular, cost discounts decrease as peak monthly usage increases. We take into account the delay sensitivity of different apps: during peak hours, the usage of hard real-time applications (HRAS) is not counted in the user's monthly data cap, while the usage of other applications (OAS) is counted in the user's monthly data cap. As a result, users may voluntarily delay or abandon OAS in order to get a higher fee discount. Then, a new data rate control algorithm is proposed. The algorithm allocates the data rate according to the priority of the source, which is determined by two factors: (I) the allocated data rate; and (II) the waiting time.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDL8135/_p
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@ARTICLE{e104-d_11_2015,
author={Zhentian WU, Feng YAN, Zhihua YANG, Jingya YANG, },
journal={IEICE TRANSACTIONS on Information},
title={Dynamic Incentive Mechanism for Industrial Network Congestion Control},
year={2021},
volume={E104-D},
number={11},
pages={2015-2018},
abstract={This paper studies using price incentives to shift bandwidth demand from peak to non-peak periods. In particular, cost discounts decrease as peak monthly usage increases. We take into account the delay sensitivity of different apps: during peak hours, the usage of hard real-time applications (HRAS) is not counted in the user's monthly data cap, while the usage of other applications (OAS) is counted in the user's monthly data cap. As a result, users may voluntarily delay or abandon OAS in order to get a higher fee discount. Then, a new data rate control algorithm is proposed. The algorithm allocates the data rate according to the priority of the source, which is determined by two factors: (I) the allocated data rate; and (II) the waiting time.},
keywords={},
doi={10.1587/transinf.2020EDL8135},
ISSN={1745-1361},
month={November},}
Copy
TY - JOUR
TI - Dynamic Incentive Mechanism for Industrial Network Congestion Control
T2 - IEICE TRANSACTIONS on Information
SP - 2015
EP - 2018
AU - Zhentian WU
AU - Feng YAN
AU - Zhihua YANG
AU - Jingya YANG
PY - 2021
DO - 10.1587/transinf.2020EDL8135
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2021
AB - This paper studies using price incentives to shift bandwidth demand from peak to non-peak periods. In particular, cost discounts decrease as peak monthly usage increases. We take into account the delay sensitivity of different apps: during peak hours, the usage of hard real-time applications (HRAS) is not counted in the user's monthly data cap, while the usage of other applications (OAS) is counted in the user's monthly data cap. As a result, users may voluntarily delay or abandon OAS in order to get a higher fee discount. Then, a new data rate control algorithm is proposed. The algorithm allocates the data rate according to the priority of the source, which is determined by two factors: (I) the allocated data rate; and (II) the waiting time.
ER -
English
