Changes of risk value under different parameters.
<div><p>In the operational planning of electric power communication networks, a well-structured service scheduling scheme based on the established network topology can significantly enhance the risk prevention capabilities of these networks. Since routing policies directly influence data...
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| منشور في: |
2025
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| _version_ | 1852022505544351744 |
|---|---|
| author | Yang Yu (4292) |
| author2 | YueLin Jiang (20775787) Zeng Dou (20775790) Li Cong (528965) Wei Huang (36889) Qiang Zhang (45005) Yang Hu (315392) YanJun Bi (20775793) |
| author2_role | author author author author author author author |
| author_facet | Yang Yu (4292) YueLin Jiang (20775787) Zeng Dou (20775790) Li Cong (528965) Wei Huang (36889) Qiang Zhang (45005) Yang Hu (315392) YanJun Bi (20775793) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yang Yu (4292) YueLin Jiang (20775787) Zeng Dou (20775790) Li Cong (528965) Wei Huang (36889) Qiang Zhang (45005) Yang Hu (315392) YanJun Bi (20775793) |
| dc.date.none.fl_str_mv | 2025-02-24T18:36:15Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0317564.g006 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Changes_of_risk_value_under_different_parameters_/28475044 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biotechnology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified intelligent tuning method improving network performance four key areas established network topology routing optimization serves state selection strategy pheromone update strategy mitigating transmission risks priority services even risk prevention capabilities specific service requests ant colony algorithm alternate routing path lowest risk costs service transmission reliability primary routing path routing algorithm service transmission service priority path satisfaction effective strategy alternate paths risk information operational risk enhanced risk service scheduling reconfiguration algorithm algorithm provides algorithm outputs xlink "> valuable reference time costs standby paths simulation results significantly enhance reliable operation paper introduces operational planning improvement validates heuristic information enhancements aim comprehensive assessment builds upon |
| dc.title.none.fl_str_mv | Changes of risk value under different parameters. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <div><p>In the operational planning of electric power communication networks, a well-structured service scheduling scheme based on the established network topology can significantly enhance the risk prevention capabilities of these networks. Since routing policies directly influence data transmission paths, routing optimization serves as an effective strategy for improving network performance by mitigating transmission risks and threats. This paper introduces an Intelligent Tuning Method for Service Scheduling in Electric Power Communication Networks Based on Operational Risk and Quality of Service (QoS) Guarantee. Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. The improvements to the ant colony algorithm are made in four key areas: the definition of heuristic information, the weighting of parameters, the state selection strategy, and the pheromone update strategy. These enhancements aim to achieve optimal routing scheduling based on risk information. At the same time, a reconfiguration algorithm for power optical communication networks, based on service priority, is proposed for specific service requests. This algorithm provides both a primary routing path and an alternate routing path for service transmission, ensuring the delivery of high-priority services even when both the primary and standby paths are unavailable. Simulation results from an actual power business communication network demonstrate that the algorithm outputs the main and alternate paths with the lowest risk costs. Additionally, the path satisfaction of the proposed algorithm is improved by 7.4% compared to the traditional ant colony algorithm. This improvement validates the accuracy and superiority of the proposed algorithm and offers a valuable reference for ensuring the reliable operation of power optical fiber communication network systems.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_8b11312180e7dc1006cebbdb00a1479b |
| identifier_str_mv | 10.1371/journal.pone.0317564.g006 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28475044 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Changes of risk value under different parameters.Yang Yu (4292)YueLin Jiang (20775787)Zeng Dou (20775790)Li Cong (528965)Wei Huang (36889)Qiang Zhang (45005)Yang Hu (315392)YanJun Bi (20775793)BiotechnologyBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedintelligent tuning methodimproving network performancefour key areasestablished network topologyrouting optimization servesstate selection strategypheromone update strategymitigating transmission riskspriority services evenrisk prevention capabilitiesspecific service requestsant colony algorithmalternate routing pathlowest risk costsservice transmission reliabilityprimary routing pathrouting algorithmservice transmissionservice prioritypath satisfactioneffective strategyalternate pathsrisk informationoperational riskenhanced riskservice schedulingreconfiguration algorithmalgorithm providesalgorithm outputsxlink ">valuable referencetime costsstandby pathssimulation resultssignificantly enhancereliable operationpaper introducesoperational planningimprovement validatesheuristic informationenhancements aimcomprehensive assessmentbuilds upon<div><p>In the operational planning of electric power communication networks, a well-structured service scheduling scheme based on the established network topology can significantly enhance the risk prevention capabilities of these networks. Since routing policies directly influence data transmission paths, routing optimization serves as an effective strategy for improving network performance by mitigating transmission risks and threats. This paper introduces an Intelligent Tuning Method for Service Scheduling in Electric Power Communication Networks Based on Operational Risk and Quality of Service (QoS) Guarantee. Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. The improvements to the ant colony algorithm are made in four key areas: the definition of heuristic information, the weighting of parameters, the state selection strategy, and the pheromone update strategy. These enhancements aim to achieve optimal routing scheduling based on risk information. At the same time, a reconfiguration algorithm for power optical communication networks, based on service priority, is proposed for specific service requests. This algorithm provides both a primary routing path and an alternate routing path for service transmission, ensuring the delivery of high-priority services even when both the primary and standby paths are unavailable. Simulation results from an actual power business communication network demonstrate that the algorithm outputs the main and alternate paths with the lowest risk costs. Additionally, the path satisfaction of the proposed algorithm is improved by 7.4% compared to the traditional ant colony algorithm. This improvement validates the accuracy and superiority of the proposed algorithm and offers a valuable reference for ensuring the reliable operation of power optical fiber communication network systems.</p></div>2025-02-24T18:36:15ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0317564.g006https://figshare.com/articles/figure/Changes_of_risk_value_under_different_parameters_/28475044CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/284750442025-02-24T18:36:15Z |
| spellingShingle | Changes of risk value under different parameters. Yang Yu (4292) Biotechnology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified intelligent tuning method improving network performance four key areas established network topology routing optimization serves state selection strategy pheromone update strategy mitigating transmission risks priority services even risk prevention capabilities specific service requests ant colony algorithm alternate routing path lowest risk costs service transmission reliability primary routing path routing algorithm service transmission service priority path satisfaction effective strategy alternate paths risk information operational risk enhanced risk service scheduling reconfiguration algorithm algorithm provides algorithm outputs xlink "> valuable reference time costs standby paths simulation results significantly enhance reliable operation paper introduces operational planning improvement validates heuristic information enhancements aim comprehensive assessment builds upon |
| status_str | publishedVersion |
| title | Changes of risk value under different parameters. |
| title_full | Changes of risk value under different parameters. |
| title_fullStr | Changes of risk value under different parameters. |
| title_full_unstemmed | Changes of risk value under different parameters. |
| title_short | Changes of risk value under different parameters. |
| title_sort | Changes of risk value under different parameters. |
| topic | Biotechnology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified intelligent tuning method improving network performance four key areas established network topology routing optimization serves state selection strategy pheromone update strategy mitigating transmission risks priority services even risk prevention capabilities specific service requests ant colony algorithm alternate routing path lowest risk costs service transmission reliability primary routing path routing algorithm service transmission service priority path satisfaction effective strategy alternate paths risk information operational risk enhanced risk service scheduling reconfiguration algorithm algorithm provides algorithm outputs xlink "> valuable reference time costs standby paths simulation results significantly enhance reliable operation paper introduces operational planning improvement validates heuristic information enhancements aim comprehensive assessment builds upon |