Abstract
In order to adapt to the construction of the new generation power system, it is urgent to make use of various controllable resources to build a new generation of comprehensive defense system of power grid security. In this paper, we aim to design a multi-objective dual-route planning algorithm for grid communication network. Firstly, we consider the network structure, site level and service load in the node and link risk model. On this basis, we calculate the overall risk equilibrium value of the network. Moreover, we also take into account the QoS performance to formulate the highly reliable dual-route planning problem with the optimization target of the network overall risk equilibrium value and the end-to-end communication delay. Then, we propose the multi-objective dual-route planning optimization algorithm to solve the problem. Simulation results show that the proposed algorithm has advance in terms of the balance of network risk and the performance of QoS.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Deepak, S.P., Mukeshkrishnan, M.B.: Secured route selection using E-ACO in underwater wireless sensor networks. Intell. Autom. Soft Comput. 32(2), 963–978 (2022)
Abu-Shareha, A.A.: Integrated random early detection for congestion control at the router buffer. Comput. Syst. Sci. Eng. 40(2), 719–734 (2022)
Puthige, I., Bansal, K., Bindra, C., Kapur, M., Singh, D.: Safest route detection via danger index calculation and k-means clustering. Comput. Mater. Contin. 69(2), 2761–2777 (2021)
Hussain, D., Khan, M.A., Abbas, S., Naqvi, R.A., Mushtaq, M.F.: Enabling smart cities with cognition based intelligent route decision in vehicles empowered with deep extreme learning machine. Comput. Mater. Contin. 66(1), 141–156 (2021)
Duhayyim, M.A., Obayya, M., Al-Wesabi, F.N., Hilal, A.M., Rizwanullah, M.: Energy aware data collection with route planning for 6G enabled UAV communication. Comput. Mater. Continu. 71(1), 825–842 (2022)
Casellas, R., Vilalta, R., Martínez, R., Muñoz, R.: Highly available SDN control of flexi- grid networks with network function virtualization-enabled replication. J. Opt. Commun. Netw. 9(2), 207–215 (2017)
Gharavi, H., Hu, B.: Multigate communication network for smart grid. In: Proceedings of the IEEE, vol. 99, no. 6, pp. 1028–1045 (2011)
Yin, S.: Shared-protection survivable multipath scheme in flexible-grid optical networks against multiple failures. J. Lightwave Technol. 35(2), 201–211 (2017)
Khan, A.W., Abdullah, A.H., Razzaque, M.A., Bangash, J.I.: VGDRA: a virtual grid-based dynamic routes adjustment scheme for mobile sink-based wireless sensor networks. IEEE Sens. J. 15(1), 526–534 (2015)
Hasan, M.M., Mouftah, H.T.: Optimization of trust node assignment for securing routes in smart grid SCADA networks. IEEE Syst. J. 13(2), 1505–1513 (2019)
Zhao, P., Yu, P., Ji, C., Feng, L., Li, W.: A routing optimization method based on risk prediction for communication services in smart grid. In: 2016 12th International Conference on Network and Service Management (CNSM), pp. 377–382 (2016)
Zhao, P., Chen, X., Yu, P., Li, W., Qiu, X., Guo, S.: Risk assessment and optimization for key services in smart grid communication network. In: 2017 IFIP/IEEE Symposium on Integrated Network and Service Management, pp. 600–603 (2017)
Jamshed, M.A., Héliot, F., Brown, T.W.C.: A survey on electromagnetic risk assessment and evaluation mechanism for future wireless communication systems. IEEE J. Electromagn. RF Microw. Med. Biol. 4(1), 24–36 (2020)
Babuscia, A., Cheung, K.: Statistical risk estimation for communication system design. IEEE Syst. J. 7(1), 125–136 (2013)
Xie, J., Xiao, S., Liang, Y., Wang, L., Fang, J.: A throughput-aware joint vehicle route and access network selection approach based on SMDP. China Commun. 17(5), 243–265 (2020)
Sarro, F., Ferrucci, F., Harman, M., Manna, A., Ren, J.: Adaptive multi-objective evolutionary algorithms for overtime planning in software projects. IEEE Trans. Softw. Eng. 43(10), 898–917 (2017)
Zhang, M., Wang, N., He, Z., Yang, Z., Guan, Y.: Bi-objective vehicle routing for hazardous materials transportation with actual load dependent risks and considering the risk of each vehicle. IEEE Trans. Eng. Manage. 66(3), 429–442 (2019)
More, S., Naik, U.L.: Optimization driven Multipath Routing for the video transmission. In: the VANET. 2018 IEEE Global Conference on Wireless Computing and Networking (GCWCN), pp. 6–10 (2018)
Acknowledgement
This paper was supported by Collaborative Innovation in Energy and Material Applications.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Gou, X., Luo, S., Xiao, L. (2022). Multi-objective Dual-Route Planning Algorithm for Grid Communication Network. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13340. Springer, Cham. https://doi.org/10.1007/978-3-031-06791-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-031-06791-4_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-06790-7
Online ISBN: 978-3-031-06791-4
eBook Packages: Computer ScienceComputer Science (R0)