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An Optimization Theory of Home Occupants’ Access Data for Determining Smart Grid Service

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Book cover Parallel and Distributed Computing, Applications and Technologies (PDCAT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 931))

Abstract

There are a series of nodes in a Smart Grid environment and to let them work efficiently, their tasks should be adequately scheduled. As for the scheduling methods, this study proposes two kinds of scenarios: use of the greedy algorithm or the Floyd-Warshall algorithm both of which have their own merits and demerits. The effectiveness of the scheduling algorithm becomes different depending on the number of nodes. Also, there are two kinds of nodes: mobile nodes and non-mobile nodes. One good example of a node that easily moves is a person. The performing a headcount for the people with their personal information such as their images or whereabouts is not an easy task due to ever strengthening civil rights. It is also difficult to select an effective scheduling algorithm due to the number of dynamic nods. Thus, to determine an efficient scheduling method, some meaningful correlations between the number of AP access, which can be regarded as the number of people, and the number of people in a certain space have been studied by using the AP access record of a Smart Device (Smart Phone, Tablet, etc.) always carried by most of the people these days instead of using personal information. This study then provides a direction of improving network operation by grasping an exact number of nodes in the smart grip service environment based on the correlations revealed.

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References

  1. Farhangi, H.: The path of the smart grid. IEEE Power Energy Mag. 8(1), 18–28 (2010)

    Article  MathSciNet  Google Scholar 

  2. Huh, J.-H., Seo, K.: Blockchain-based mobile fingerprint verification and automatic log-in platform for future computing. J. Supercomput., 1–17 (2018)

    Google Scholar 

  3. Huh, J.-H., Otgonchimeg, S., Seo, K.: Advanced metering infrastructure design and test bed experiment using intelligent agents: focusing on the PLC network base technology for Smart Grid system. J. Supercomput. 72(5), 1862–1877 (2016)

    Article  Google Scholar 

  4. Weaver, W.W., Krein, D.P.: Game-theoretic control of small-scale power systems. IEEE Trans. Power Deliv. 24(3), 1560–1567 (2009)

    Article  Google Scholar 

  5. Kasbekar, G.S., Sarkar, S.: Pricing games among interconnected microgrids. In: Proceedings of Power and Energy Society General Meeting, pp. 1–8. IEEE (2012)

    Google Scholar 

  6. Mohsenian-Rad, A.H., Wong, V.W.S., Jatskevich, J., Schober, R., Leon-Garcia, A.: Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE Trans. Smart Grid 1(3), 320–331 (2010)

    Article  Google Scholar 

  7. Kshetri, N.: Blockchain’s roles in strengthening cybersecurity and protecting privacy. Telecommun. Policy 41, 1027–1038 (2017)

    Article  Google Scholar 

  8. Levin, R.B., Waltz, P., LaCount, H.: Betting blockchain will change everything – SEC and CFTC regulation of blockchain technology. In: Handbook of Blockchain. Digital Finance, and Inclusion, vol. 2, pp. 187–212. Elsevier (2017)

    Google Scholar 

  9. Prybila, C., Schulte, S., Hochreiner, C., Webe, I.: Runtime verification for business processes utilizing the Bitcoin Blockchain. Futur. Gener. Comput. Syst., 1–11 (2017)

    Google Scholar 

  10. Sikorski, J.J., Haughton, J., Kraft, M.: Blockchain technology in the chemical industry: machine-to-machine electricity market. Appl. Energy 195, 234–246 (2017)

    Article  Google Scholar 

  11. Aguayo, D., et al.: Link-level measurements from an 802.11b mesh network. ACM SIGCOMM Comput. Commun. Rev. 34(4), 121–132 (2004)

    Article  Google Scholar 

  12. Je, S.-M., Huh, J.-H.: Nash equilibrium solution for communication in strategic competition adopted by Zigbee network for micro grid. In: Kim, K.J., Baek, N. (eds.) ICISA 2018. LNEE, vol. 514, pp. 595–606. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-1056-0_58

    Chapter  Google Scholar 

  13. Lee, S., Huh, J.-H.: An effective security measures for nuclear power plant using big data analysis approach. J. Supercomput., 1–28 (2018)

    Google Scholar 

  14. Bychkovsky, V., et al.: A measurement study of vehicular internet access using in situ Wi-Fi networks. In: Proceedings of the 12th Annual International Conference on Mobile Computing and Networking. ACM (2006)

    Google Scholar 

  15. Cheng, Y.-C., et al.: Accuracy characterization for metropolitan-scale Wi-Fi localization. In: Proceedings of the 3rd International Conference on Mobile Systems, Applications, and Services. ACM (2005)

    Google Scholar 

  16. Bahl, P., et al.: White space networking with Wi-Fi like connectivity. ACM SIGCOMM Comput. Commun. Rev. 39(4), 27–38 (2009)

    Article  Google Scholar 

  17. Kellogg, B., et al.: Wi-Fi backscatter: internet connectivity for RF-powered devices. ACM SIGCOMM Comput. Commun. Rev. 44(4), 607–618 (2014)

    Article  Google Scholar 

  18. Huawei: Shortest Path Bridging IEEE 802.1aq Overview (2011). https://meetings.apnic.net/31/ppt/APRICOT_SPB_Overview.ppt

  19. Dorri, A., Kanhere, S.S., Jurdak, R.: Towards an optimized blockchain for IoT. In: Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, pp. 173–178. ACM (2017)

    Google Scholar 

  20. Donelli, M., et al.: A planar electronically reconfigurable Wi-Fi band antenna based on a parasitic microstrip structure. IEEE Antennas Wirel. Propag. Lett. 6, 623–626 (2007)

    Article  Google Scholar 

  21. Huh, J.-H.: PLC-based design of monitoring system for ICT-integrated vertical fish farm. Hum. Centric Comput. Inf. Sci. 7(20), 1–19 (2017)

    Google Scholar 

  22. Brachet, N., et al.: Method and system for selecting and providing a relevant subset of Wi-Fi location information to a mobile client device so the client device may estimate its position with efficient utilization of resources, U.S. Patent No. 8,369,264, USA, 5 February 2013

    Google Scholar 

  23. Tran, B.: Mesh network personal emergency response appliance, U.S. Patent No. 7,733,224, USA, 8 June 2010

    Google Scholar 

  24. Talla, V., et al.: Powering the next billion devices with Wi-Fi. In: Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies. ACM (2015)

    Google Scholar 

  25. Pass, R., Shi, E.: Fruitchains: a fair blockchain. In: Proceedings of the ACM Symposium on Principles of Distributed Computing, pp. 315–324. ACM (2017)

    Google Scholar 

  26. Huh, J.-H.: Implementation of lightweight intrusion detection model for security of smart green house and vertical farm. Int. J. Distrib. Sens. Netw. 14(4), 1–11 (2018)

    Article  Google Scholar 

  27. Raniwala, A., Chiueh, T.-C.: Architecture and algorithms for an IEEE 802.11-based multi-channel wireless mesh network. In: Proceedings of the IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM 2005, vol. 3. IEEE (2005)

    Google Scholar 

  28. Sagari, S., et al.: Coordinated dynamic spectrum management of LTE-U and Wi-Fi networks. In: 2015 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN). IEEE (2015)

    Google Scholar 

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Acknowledgments

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2017R1C1B5077157).

Author information

Authors and Affiliations

  1. Department of Computer Science Education, Korea University, Seoul, Republic of Korea

    Seung-Mo Je

  2. Department of Software, Catholic University of Pusan, Busan, Republic of Korea

    Jun-Ho Huh

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  1. Seung-Mo Je
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  2. Jun-Ho Huh
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Corresponding author

Correspondence to Jun-Ho Huh .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    Jong Hyuk Park

  2. School of Computer Science, University of Adelaide, Adelaide, SA, Australia

    Hong Shen

  3. Department of Multimedia Engineering, Dongguk University, Seoul, Korea (Republic of)

    Yunsick Sung

  4. School of ICT, Griffith University, Gold Coast, Australia

    Hui Tian

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Je, SM., Huh, JH. (2019). An Optimization Theory of Home Occupants’ Access Data for Determining Smart Grid Service. In: Park, J., Shen, H., Sung, Y., Tian, H. (eds) Parallel and Distributed Computing, Applications and Technologies. PDCAT 2018. Communications in Computer and Information Science, vol 931. Springer, Singapore. https://doi.org/10.1007/978-981-13-5907-1_15

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  • DOI: https://doi.org/10.1007/978-981-13-5907-1_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5906-4

  • Online ISBN: 978-981-13-5907-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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