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2022 | OriginalPaper | Buchkapitel

7. Analysis of Energy Optimization Approaches in Internet of Everything: An SDN Prospective

verfasst von : Gurpinder Singh, Amritpal Singh, Rohit Bajaj

Erschienen in: Software Defined Internet of Everything

Verlag: Springer International Publishing

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Abstract

Internet of Things (IoT) is an evolutionary technology in the various fields of the industry, military, etc. There are major issues in IoT-enabled environment, such as energy consumption, congestion, Quality of Service (QoS) and configuration of different nature devices. The energy plays an important role during data transmission from source to destination. The IoT devices are limited in terms of resources, like, battery power, processing power. In this chapter, the challenges of the incorporation of SDN-enabled environment with IoT-based devices are explored with figures and facts. A detailed analysis of the various energy-efficient approaches is highlighted in a proper format to improve the understandability of the concept. A section-wise review of the various authors is discussed to highlight the challenges and solutions to resolve the issues.

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Literatur
1.
Zurück zum Zitat Patel, K. K., & Patel, S. M. (2016). Internet of things-IOT: Definition, characteristics, architecture, enabling technologies, application and future challenges. International Journal of Engineering Science and Computing, 6(5), 6123–6131. Patel, K. K., & Patel, S. M. (2016). Internet of things-IOT: Definition, characteristics, architecture, enabling technologies, application and future challenges. International Journal of Engineering Science and Computing, 6(5), 6123–6131.
2.
Zurück zum Zitat Peng, S.-L., Pal, S., & Huang, L. (2019). Principles of internet of things (IoT) ecosystem: Insight paradigm (Vol. 174). Peng, S.-L., Pal, S., & Huang, L. (2019). Principles of internet of things (IoT) ecosystem: Insight paradigm (Vol. 174).
3.
Zurück zum Zitat Shrutika, M., Tripathi, A. R., Singh, R. S., & Priyanshu, M. (2021) Design and implementation of internet of everything’s business platform ecosystem. Shrutika, M., Tripathi, A. R., Singh, R. S., & Priyanshu, M. (2021) Design and implementation of internet of everything’s business platform ecosystem.
4.
Zurück zum Zitat Kumar, R. (2021). Future of Internet of Everything ( IoE ). International Research Journal of Computer Science (IRJCS), 08(04), 84–92. Kumar, R. (2021). Future of Internet of Everything ( IoE ). International Research Journal of Computer Science (IRJCS), 08(04), 84–92.
6.
Zurück zum Zitat Nitnaware, P., & Nimbarte, M. (2021). IoT Based Smart City Mangement Using IAS: A survey. Journal of University of Shanghai for Science and Technology, 23(4), 117–122. Nitnaware, P., & Nimbarte, M. (2021). IoT Based Smart City Mangement Using IAS: A survey. Journal of University of Shanghai for Science and Technology, 23(4), 117–122.
7.
Zurück zum Zitat Srinivasan, C. R., Rajesh, B., Saikalyan, P., Premsagar, K., & Yadav, E. S. (2019). A review on the different types of internet of things (IoT). Journal of Advanced Research in Dynamical and Control Systems, 11(1), 154–158 (2019) Srinivasan, C. R., Rajesh, B., Saikalyan, P., Premsagar, K., & Yadav, E. S. (2019). A review on the different types of internet of things (IoT). Journal of Advanced Research in Dynamical and Control Systems, 11(1), 154–158 (2019)
8.
Zurück zum Zitat Aujla, G. S., & Kumar, N. (2018). MEnSuS: An efficient scheme for energy management with sustainability of cloud data centers in edge–cloud environment. Future Generation Computer Systems, 86, 1279–1300.CrossRef Aujla, G. S., & Kumar, N. (2018). MEnSuS: An efficient scheme for energy management with sustainability of cloud data centers in edge–cloud environment. Future Generation Computer Systems, 86, 1279–1300.CrossRef
9.
Zurück zum Zitat Aujla, G. S., Garg, S., Batra, S., Kumar, N., You, I., & Sharma, V. (2019). DROpS: A demand response optimization scheme in SDN-enabled smart energy ecosystem. Information Sciences, 476, 453–473.CrossRef Aujla, G. S., Garg, S., Batra, S., Kumar, N., You, I., & Sharma, V. (2019). DROpS: A demand response optimization scheme in SDN-enabled smart energy ecosystem. Information Sciences, 476, 453–473.CrossRef
10.
Zurück zum Zitat Singh, M., Aujla, G. S., Singh, A., Kumar, N., & Garg, S. (2020). Deep-learning-based blockchain framework for secure software-defined industrial networks. IEEE Transactions on Industrial Informatics, 17(1), 606–616.CrossRef Singh, M., Aujla, G. S., Singh, A., Kumar, N., & Garg, S. (2020). Deep-learning-based blockchain framework for secure software-defined industrial networks. IEEE Transactions on Industrial Informatics, 17(1), 606–616.CrossRef
11.
Zurück zum Zitat Garg, S., Singh, A., Aujla, G. S., Kaur, S., Batra, S., & Kumar, N. (2020). A probabilistic data structures-based anomaly detection scheme for software-defined internet of vehicles. IEEE Transactions on Intelligent Transportation Systems, 22, 3557–3566.CrossRef Garg, S., Singh, A., Aujla, G. S., Kaur, S., Batra, S., & Kumar, N. (2020). A probabilistic data structures-based anomaly detection scheme for software-defined internet of vehicles. IEEE Transactions on Intelligent Transportation Systems, 22, 3557–3566.CrossRef
12.
Zurück zum Zitat Singh, A., Aujla, G. S., Garg, S., Kaddoum, G., & Singh, G. (2019). Deep-learning-based SDN model for internet of things: An incremental tensor train approach. IEEE Internet of Things Journal, 7(7), 6302–6311.CrossRef Singh, A., Aujla, G. S., Garg, S., Kaddoum, G., & Singh, G. (2019). Deep-learning-based SDN model for internet of things: An incremental tensor train approach. IEEE Internet of Things Journal, 7(7), 6302–6311.CrossRef
13.
Zurück zum Zitat Ranjan, R., Thakur, I. S., Aujla, G. S., Kumar, N., & Zomaya, A. Y. (2020). Energy-efficient workflow scheduling using container-based virtualization in software-defined data centers. IEEE Transactions on Industrial Informatics, 16(12), 7646–7657.CrossRef Ranjan, R., Thakur, I. S., Aujla, G. S., Kumar, N., & Zomaya, A. Y. (2020). Energy-efficient workflow scheduling using container-based virtualization in software-defined data centers. IEEE Transactions on Industrial Informatics, 16(12), 7646–7657.CrossRef
14.
Zurück zum Zitat Aujla, G. S., Kumar, N., Garg, S., Kaur, K., & Ranjan, R. (2019). EDCSuS: Sustainable edge data centers as a service in SDN-enabled vehicular environment. IEEE Transactions on Sustainable Computing. Aujla, G. S., Kumar, N., Garg, S., Kaur, K., & Ranjan, R. (2019). EDCSuS: Sustainable edge data centers as a service in SDN-enabled vehicular environment. IEEE Transactions on Sustainable Computing.
16.
Zurück zum Zitat Singh, A., Batra, S., Aujla, G. S., Kumar, N., & Yang, L. T. (2020). BloomStore: dynamic bloom-filter-based secure rule-space management scheme in SDN. IEEE Transactions on Industrial Informatics, 16(10), 6252–6262.CrossRef Singh, A., Batra, S., Aujla, G. S., Kumar, N., & Yang, L. T. (2020). BloomStore: dynamic bloom-filter-based secure rule-space management scheme in SDN. IEEE Transactions on Industrial Informatics, 16(10), 6252–6262.CrossRef
17.
Zurück zum Zitat Singh, A., Aujla, G. S., & Bali, R. S. (2021). Container-based load balancing for energy efficiency in software-defined edge computing environment. Sustainable Computing: Informatics and Systems 30, 100463. Singh, A., Aujla, G. S., & Bali, R. S. (2021). Container-based load balancing for energy efficiency in software-defined edge computing environment. Sustainable Computing: Informatics and Systems 30, 100463.
19.
Zurück zum Zitat Wen, Z., Garg, S., Aujla, G. S., Alwasel, K., Puthal, D., Dustdar, S., Zomaya, A. Y., & Rajan, R. (2020). Running industrial workflow applications in a software-defined multi-cloud environment using green energy aware scheduling algorithm. IEEE Transactions on Industrial Informatics, 17, 5645–5656.CrossRef Wen, Z., Garg, S., Aujla, G. S., Alwasel, K., Puthal, D., Dustdar, S., Zomaya, A. Y., & Rajan, R. (2020). Running industrial workflow applications in a software-defined multi-cloud environment using green energy aware scheduling algorithm. IEEE Transactions on Industrial Informatics, 17, 5645–5656.CrossRef
20.
Zurück zum Zitat Aujla, G. S., Singh, A., & Kumar, N. (2019). Adaptflow: Adaptive flow forwarding scheme for software-defined industrial networks. IEEE Internet of Things Journal, 7(7), 5843–5851.CrossRef Aujla, G. S., Singh, A., & Kumar, N. (2019). Adaptflow: Adaptive flow forwarding scheme for software-defined industrial networks. IEEE Internet of Things Journal, 7(7), 5843–5851.CrossRef
21.
Zurück zum Zitat Rout, S., & Nayak, S. P. (2020). Energy minimization technique in SDN using efficient routing policy. Journal of Xi’an University of Architecture & Technology. XII(Iv), 3512–3519. Rout, S., & Nayak, S. P. (2020). Energy minimization technique in SDN using efficient routing policy. Journal of Xi’an University of Architecture & Technology. XII(Iv), 3512–3519.
23.
Zurück zum Zitat Agg, P. A., & Johanyák, Z. C. (2021). Energy savings in SDN networks. Gradus, 8(1), 205–210.CrossRef Agg, P. A., & Johanyák, Z. C. (2021). Energy savings in SDN networks. Gradus, 8(1), 205–210.CrossRef
24.
25.
Zurück zum Zitat Shahrun, N. H. S. B. M., Mohammed, A. F. Y., Ramlie, R., Shah Newaz, S. H., & Wan, A. T. (2018). An energy efficient mobility management mechanism in software defined networking (SDN). In 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering ICCCEEE (pp. 1–6). https://doi.org/10.1109/ICCCEEE.2018.8515818 Shahrun, N. H. S. B. M., Mohammed, A. F. Y., Ramlie, R., Shah Newaz, S. H., & Wan, A. T. (2018). An energy efficient mobility management mechanism in software defined networking (SDN). In 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering ICCCEEE (pp. 1–6). https://​doi.​org/​10.​1109/​ICCCEEE.​2018.​8515818
27.
Zurück zum Zitat Nadjaran Toosi, A., & Buyya, R. (2019). Acinonyx: Dynamic flow scheduling for virtual machine migration in SDN-enabled clouds. In 2018 IEEE International Conference on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (pp. 886–894). https://doi.org/10.1109/BDCloud.2018.00131 Nadjaran Toosi, A., & Buyya, R. (2019). Acinonyx: Dynamic flow scheduling for virtual machine migration in SDN-enabled clouds. In 2018 IEEE International Conference on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (pp. 886–894). https://​doi.​org/​10.​1109/​BDCloud.​2018.​00131
29.
Zurück zum Zitat Akhunzada, A., & Sherali, Z. (2021). Power and performance efficient SDN-enabled fog architecture. arXiv preprint arXiv:2105.14607 Akhunzada, A., & Sherali, Z. (2021). Power and performance efficient SDN-enabled fog architecture. arXiv preprint arXiv:2105.14607
Metadaten
Titel
Analysis of Energy Optimization Approaches in Internet of Everything: An SDN Prospective
verfasst von
Gurpinder Singh
Amritpal Singh
Rohit Bajaj
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-030-89328-6_7

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