Placing Controllers Using Latency Metrics in a Smart Grid Implementing Software- Defined Networking Architecture

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Smart grids add software and sensors to the existing power grids that will give utilities and individual’s access to information that they can understand and react to make changes quickly. They employ bi-directional communication between electricity endpoints and power stations. They help power stations with managing electricity demand and perform dynamic pricing. For instance, by using smart meters at home, consumers can view the price of electricity throughout the day and schedule tasks such that their energy bills are minimized. Deploying a smart grid comes with its own challenges. Managing the network of a smart grid is very complex and time consuming. The communication system comprises of devices that use different protocols for communication. This leads to interoperability problems and frequent intervention of the network administrator to make changes to the network configuration. By using the software-defined networking architecture, the control plane is separated from the data-forwarding plane. It allows network administrators to make configuration changes to the network from a device that centrally controls network components. One of the major challenges in SDN is the placement of controller (s) in the network. It affects the primary objective of setting up a network – fast and reliable communication of data. In this paper, we introduce the networking paradigm of smart grids and SDN architecture and go on to propose a method to find the optimal solution for the placement of controller (s) in a smart grid that uses SDN architecture.

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February 2023

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© 2023 Trans Tech Publications Ltd. All Rights Reserved

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[1] Rehmani, Mubashir Husain & Davy, Alan & Jennings, Brendan & Assi, Chadi. (2019). Software Defined Networks based Smart Grid Communication: A Comprehensive Survey. IEEE Communications Surveys & Tutorials. 10.1109/COMST.2019.2908266.

DOI: 10.1109/comst.2019.2908266

Google Scholar

[2] Amutha, B., Saxena, S., & Das, A. (2018). Changing Mechanisms of Enterprise Security (Comparing Beyond Corp with Prevalent Network Security Mechanisms). International Journal of Engineering & Technology, 7(3.12), 81-83. doi:http://dx.doi.org/10.14419/ijet.v7i3.12.15867.

DOI: 10.14419/ijet.v7i3.12.15867

Google Scholar

[3] P. Purohit, R. Kadikar, M. Susila and B. Amutha, Study of Service Chain Optimization in Cloud Environment,, 2018 International Conference on Communication and Signal Processing (ICCSP), Chennai, 2018, pp.0605-0610.

DOI: 10.1109/iccsp.2018.8524470

Google Scholar

[4] Phatak, A., Kadikar, R., Vijayan, K., & Amutha, B. (2018). Performance Analysis of Firewall Based on SDN and OpenFlow. 2018 International Conference on Communication and Signal Processing (ICCSP), 0611-0615.

DOI: 10.1109/iccsp.2018.8524164

Google Scholar

[5] CLP [Online] Available: https://www.clp.com.hk/en/about-clp/power-transmission- and-distribution/smart-grid.

Google Scholar

[6] SdxCentral [Online] Available: https://www.sdxcentral.com/networking/sdn/definitions/what- the-definition-of-software-defined-networking-sdn/.

Google Scholar

[7] Rehmani, M.H., Akhtar, F., Davy, A., & Jennings, B. (2018).Achieving Resilience in SDN-Based Smart Grid: A Multi-Armed Bandit Approach. 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft), 366-371.

DOI: 10.1109/netsoft.2018.8459942

Google Scholar

[8] Y. Hu., On Reliability-Optimized Controller Placement for Software-Defined Networks,, China Communications., vol. 11, no. 2, 2014, p.38–54.

DOI: 10.1109/cc.2014.6821736

Google Scholar

[9] M. Guo and P. Bhattacharya, Controller Placement for Improving Resilience of Software-Defined Networks,, International. Conference on Networking and Distributed Computing, 2013 p.23–27.

DOI: 10.1109/icndc.2013.15

Google Scholar

[10] L F Müller al, Survivor: An Enhanced Controller Placement Strategy for Improving SDN Survivability,, IEEE GLOBECOM, Austin, Texas, December 2014, p.1909–15.

Google Scholar

[11] A Ruiz-Rivera, KW Chin, and S Soh, GreCo: An Energy Aware Controller Association Algorithm for Software Defined Networks,, IEEE Communication Letters, vol. 19, no. 4, 2015, p.541–44.

DOI: 10.1109/lcomm.2015.2394457

Google Scholar

[12] R.Jeya, Venkatakrishnan, G.R., Rengara, R., Bharath Raj, N., Ramanathan, G.Evolutionary optimization algorithms - A review, Journal of Advanced Research in Dynamical and Control Systems, 2018, 10(10 Special Issue), p.1112–1122.

Google Scholar

[13] MTI ulHuque, G Jourjon, V Gramoli, Revisiting the Controller Placement Problem,, Proc. IEEE 40th Conf. Local Computer Network, 2015, p.450–53.

DOI: 10.1109/lcn.2015.7366350

Google Scholar

[14] B. Amutha, Bhavani Ghanta, Karthick Nanamaran, Manickavasagam Balasubramanian, ECOSENSE: An Energy Consumption Protocol for Wireless Sensor Networks, Procedia Computer Science, Volume 57, Pages 1160-1170, ISSN 1877-0509, https://doi.org/10.1016/j.procs. 2015.07.407.

DOI: 10.1016/j.procs.2015.07.407

Google Scholar

[15] T. Hartmann et al., Generating realistic Smart Grid communication topologies based on real-data,, 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm), Venice, 2014, pp.428-433.

DOI: 10.1109/smartgridcomm.2014.7007684

Google Scholar

[16] Smartgrid Topology Generator [Online] Available: https://github.com/thomashartmann/ smartgrid-topology- generator.

Google Scholar

[17] B Heller, R Sherwood, and N McKeown, The Controller Placement Problem,, Proc. 1st Workshop. Hot Topics in Software Defined Networks, 2012, p.7–12.

DOI: 10.1145/2342441.2342444

Google Scholar

[18] G.A. Wilkin and X. Huang, K-Means Clustering Algorithms: Implementation and Comparison,, Second International Multi-Symposiums on Computer an Computational Sciences (IMSCCS 2007), Iowa City, IA, 2007, pp.133-136.

DOI: 10.1109/imsccs.2007.51

Google Scholar

[19] Tippaya Thinsungnoena et al, The Clustering Validity with Silhouette and Sum of Squared Errors,, Proceedings of the 3rd International Conference on Industrial Application Engineering 2015.

DOI: 10.12792/iciae2015.012

Google Scholar

[20] Silhouette Analysis Wikipedia [Online] Available http://en.wikipedia.org/wiki/ Silhouette_(clustering).

Google Scholar

[21] Jeya R, B. Amutha," Channel estimation and secure data transmission using hybrid particle swarm optimisation–gray wolf optimisation-leaky least-Mean-Square and affine elliptic curves cryptography algorithm in MU-Multi-Input Multi- Output Orthogonal Frequency Division Multiplexing System 03 May 2021, https://doi.org/10.1002/dac.4791.

DOI: 10.1002/dac.4791

Google Scholar

[22] Jeya R ,Dr.B.Amutha,Singh M,Arora, C, Performance analysis and comparison of different modulation schemes with channel estimation methods for MIMO-OFDM system. International Journal of Innovative Technology and Exploring Engineering,Volume 8, Issue 7, May 2019, Pages 54-59.

Google Scholar

[23] G. Yao et al., On the Capacitated Controller Placement Problem in Software Defined Networks,, IEEE Commun. Letters, vol. 18, no. 8, 2014, p.1339–42.

DOI: 10.1109/lcomm.2014.2332341

Google Scholar