Context aware traffic scheduling algorithm for power distribution smart grid network
Electric network analysis; Electric power transmission networks; Packet switching; Quality of service; Context- awareness; Heterogeneous traffic; Power distribution network; Power distributions; Smart grid networks; Suboptimal solution; Technical challenges; Traffic scheduling; Smart power grids
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-248352023-05-29T15:27:44Z Context aware traffic scheduling algorithm for power distribution smart grid network Radzi N.A.M. Suhaimy N. Ahmad W.S.H.M.W. Ismail A. Abdullah F. Jamaludin M.Z. Zakaria M.N. 57218936786 57218501518 25928314500 36023817800 56613644500 57216839721 57213826693 Electric network analysis; Electric power transmission networks; Packet switching; Quality of service; Context- awareness; Heterogeneous traffic; Power distribution network; Power distributions; Smart grid networks; Suboptimal solution; Technical challenges; Traffic scheduling; Smart power grids T The emergence of smart grid poses technical challenges to the power distribution network because of the increasing data traffic resulting from diverse data applications. Traffic scheduling algorithms manage these heterogeneous applications by applying different priorities to each traffic type based on its quality of service (QoS). However, QoS alone cannot accurately capture complex situations wherein packets with low priority occasionally need to be served first based on their context, resulting in a suboptimal solution. This paper proposes a context aware traffic scheduling (CATSchA) algorithm to schedule the traffic such that it could adapt to varying power network conditions. The power distribution network traffic is characterized based on heterogeneous traffic demands, and then mapped into weighted quality classes. The CATSchA algorithm is implemented in a packet switched network using NS-3 simulator, and the traffic demand is fulfilled based on the algorithm's context awareness. Compared with traditional traffic scheduling algorithms, the proposed algorithm lowers the delay while maintaining the throughput and link efficiency. � 2020 BioMed Central Ltd.. All rights reserved. Final 2023-05-29T07:27:44Z 2023-05-29T07:27:44Z 2019 Article 10.1109/ACCESS.2019.2931722 2-s2.0-85089340795 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089340795&doi=10.1109%2fACCESS.2019.2931722&partnerID=40&md5=0168666eb469d3f839d85f8f8388df2d https://irepository.uniten.edu.my/handle/123456789/24835 7 8779637 104072 104084 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. Scopus |
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| description |
Electric network analysis; Electric power transmission networks; Packet switching; Quality of service; Context- awareness; Heterogeneous traffic; Power distribution network; Power distributions; Smart grid networks; Suboptimal solution; Technical challenges; Traffic scheduling; Smart power grids |
| author2 |
57218936786 |
| author_facet |
57218936786 Radzi N.A.M. Suhaimy N. Ahmad W.S.H.M.W. Ismail A. Abdullah F. Jamaludin M.Z. Zakaria M.N. |
| format |
Article |
| author |
Radzi N.A.M. Suhaimy N. Ahmad W.S.H.M.W. Ismail A. Abdullah F. Jamaludin M.Z. Zakaria M.N. |
| spellingShingle |
Radzi N.A.M. Suhaimy N. Ahmad W.S.H.M.W. Ismail A. Abdullah F. Jamaludin M.Z. Zakaria M.N. Context aware traffic scheduling algorithm for power distribution smart grid network |
| author_sort |
Radzi N.A.M. |
| title |
Context aware traffic scheduling algorithm for power distribution smart grid network |
| title_short |
Context aware traffic scheduling algorithm for power distribution smart grid network |
| title_full |
Context aware traffic scheduling algorithm for power distribution smart grid network |
| title_fullStr |
Context aware traffic scheduling algorithm for power distribution smart grid network |
| title_full_unstemmed |
Context aware traffic scheduling algorithm for power distribution smart grid network |
| title_sort |
context aware traffic scheduling algorithm for power distribution smart grid network |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806427697662918656 |
| score |
13.222552 |