Abstract
In this article, a three layered architecture is proposed for smart buildings. A fog based infrastructure is designed and deployed on the edge of network, where fog processes the private data collected through the smart meters and stores the public data on cloud. Further, end user has facility to schedule and control the home appliances by using a centralized energy management system. Moreover, the electricity and network resources utilization charges can be calculated. We analyze the performance of cloud based centralized system, considering the fog computing as an intermittent layer between system user layer and cloud layer and without considering fog computing. Simulation results prove that fog layer enhances the efficient utilization of network resources and also reduces the bottleneck on the cloud computing.
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References
Rahimi, F., Ipakchi, A.: Demand response as a market resource under the smart grid paradigm. IEEE Trans. Smart Grid 1(1), 82–88 (2010)
Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the Internet of Things. In: Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, pp. 13–16. ACM (2012)
Hong, K., Lillethun, D., Ramachandran, U., Ottenwalder, B., Koldehofe, B.: Mobile fog: a programming model for large-scale applications on the Internet of Things. In: Proceedings of the Second ACM SIGCOMM Workshop on Mobile Cloud Computing, pp. 15–20. ACM (2013)
Zhu, J., Chan, D., Prabhu, M.M.S., Natarajan, P., Hu, H.: Improving web sites performance using edge servers in fog computing architecture. U.S. Patent Application 13/904,327, filed, 15 May 2014 (2014)
Pourbabak, H., Chen, T., Zhang, B., Su, W.: Control and energy management system in microgrids. arXiv preprint arXiv:1705.10196 (2017)
Olivares, D.E., Canizares, C.A., Kazerani, M.: A centralized energy management system for isolated microgrids. IEEE Trans. Smart Grid 5(4), 1864–1875 (2014)
Tushar, M.H.K., Assi, C., Maier, M., Uddin, M.F.: Smart microgrids: optimal joint scheduling for electric vehicles and home appliances. IEEE Trans. Smart Grid 5(1), 239–250 (2014)
Yue, J., Zhijian, H., Li, C., Vasquez, J.C., Guerrero, J.M.: Economic power schedule and transactive energy through an intelligent centralized energy management system for a DC residential distribution system. Energies 10(7), 916 (2017)
Al Faruque, M.A., Vatanparvar, K.: Energy management-as-a-service over fog computing platform. IEEE Internet of Things J. 3(2), 161–169 (2016)
Markovic, D.S., Zivkovic, D., Branovic, I., Popovic, R., Cvetkovic, D.: Smart power grid and cloud computing. Renew. Sustain. Energy Rev. 24, 566–577 (2013)
Fang, X., Yang, D., Xue, G.: Evolving smart grid information management cloudward: A cloud optimization perspective. IEEE Trans. Smart Grid 4(1), 111–119 (2013)
Wang, H., Huang, J., Lin, X., Mohsenian-Rad, H.: Exploring smart grid and data center interactions for electric power load balancing. ACM SIGMETRICS Perform. Eval. Rev. 41(3), 89–94 (2014)
Sheikhi, A., Rayati, M., Bahrami, S., Ranjbar, A.M., Sattari, S.: A cloud computing framework on demand side management game in smart energy hubs. Int. J. Electric. Power Energy Syst. 64, 1007–1016 (2015)
Cao, Z., Lin, J., Wan, C., Song, Y., Zhang, Y., Wang, X.: Optimal cloud computing resource allocation for demand side management in smart grid. IEEE Trans. Smart Grid 8(4), 1943–1955 (2017)
Thakare, M.Y.A., Deshmukh, M.P.P., Meshram, M.R.A., Hole, M.K.R., Gulhane, M.R.A., Deshmukh, M.N.A.: A Review: The Internet of Things Using Fog Computing (2017)
Shahryari, K., Anvari-Moghaddam, A.: Demand Side Management Using the Internet of Energy based on Fog and Cloud Computing
Barik, R.K., Gudey, S.K., Reddy, G.G., Pant, M., Dubey, H., Mankodiya, K., Kumar, V.: FogGrid: leveraging fog computing for enhanced smart grid network arXiv preprint arXiv:1712.09645 (2017)
Okay, F.Y., Ozdemir, S.: A fog computing based smart grid model. In: 2016 International Symposium on Networks, Computers and Communications (ISNCC), pp. 1–6. IEEE (2016)
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Zahoor, S., Javaid, N., Khalid, A., Yasmeen, A., Nadeem, Z. (2019). Fog Computing Based Energy Management System Model for Smart Buildings. In: Barolli, L., Xhafa, F., Javaid, N., Enokido, T. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2018. Advances in Intelligent Systems and Computing, vol 773. Springer, Cham. https://doi.org/10.1007/978-3-319-93554-6_70
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DOI: https://doi.org/10.1007/978-3-319-93554-6_70
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