Skip to main content

Energy Optimization Analysis on Internet of Things

  • Chapter
  • First Online:
Advanced Technology for Smart Environment and Energy

Abstract

Energy enhancement and renewable energy integration are crucial facilitators of renewable energy conversion and climate shift alleviations. The technological advancements supported by the current fifth generation (5G), like Internet of Things (IoT), Internet of Flying Things, and Internet of Drones have shown different merits within the energy market, including energy generation, storage, and delivery, as well as increased demand. It is predicted that the IoTs are to be utilized to enhance energy usage, increase sustainable energy use, and reduce the environmental effects of energy application. This study examines the latest studies on the IoT application in smart grids and overall energy networks. The study further details IoT's supporting technologies, like cloud storage and multiple data analysis tools. Moreover, a detailed identified problems for IoT deployment in the energy sector, like security and privacy and solutions, for instance, blockchain. The study offers energy regulators, managers, and analysts on the position of IoT in energy system optimization.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Admin (2018) 8 types of sensors that coalesce perfectly with an IoT app—IT Firms, top IT Firms—result of in-depth research & analysis. https://www.itfirms.co/8-types-of-sensors-that-coalesce-perfectly-with-an-iot-app/. Accessed 04 Oct 2022

  • Al-Ali AR (2016) Internet of things role in the renewable energy resources. Energy Procedia 100:34–38. https://doi.org/10.1016/j.egypro.2016.10.144

    Article  Google Scholar 

  • Al-Azez ZT, Lawey AQ, El-Gorashi TEH, Elmirghani JMH (2019) Energy-efficient IoT virtualization framework with peer to peer networking and processing. IEEE Access 7:50697–50709. https://doi.org/10.1109/ACCESS.2019.2911117

  • Alladi T, Chamola V, Rodrigues JJPC, Kozlov SA (2019) Blockchain in smart grids: a review on different use cases. Sensors 19(22). https://doi.org/10.3390/s19224862

  • Al-Qaseemi SA, Almulhim HA, Almulhim MF, Chaudhry SR (2016) IoT architecture challenges and issues: aack of standardization. In: 2016 future technologies conference (FTC), pp 731–738. https://doi.org/10.1109/FTC.2016.7821686

  • Anastasi G, Conti M, Di Francesco M, Passarella A (2009) Energy conservation in wireless sensor networks: a survey. Ad Hoc Netw 7(3):537–568. https://doi.org/10.1016/j.adhoc.2008.06.003

  • Avci M, Erkoc M, Asfour SS (2012) Residential HVAC load control strategy in real-time electricity pricing environment. In: 2012 IEEE Energytech, pp 1–6. https://doi.org/10.1109/EnergyTech.2012.6304636

  • Azrour M, Mabrouki J, Guezzaz A, Kanwal A (2021a) Internet of things security: challenges and key issues. Secur Commun Netw 1–11. https://doi.org/10.1155/2021/5533843

  • Azrour M, Mabrouki J, Fattah G, Guezzaz A, Aziz F (2021b) Machine learning algorithms for efficient water quality prediction. Model Earth Syst Environ https://doi.org/10.1007/s40808-021-01266-6

  • Bhardwaj A (2015) Leveraging the internet of things and analytics for smart energy management. TATA Consult Serv Mumbai India

    Google Scholar 

  • Bhattacharyya SC (2020) Energy economics: concepts, issues, markets and governance. Springer, London

    Google Scholar 

  • Boroojeni K, Amini MH, Nejadpak A, Dragičević T, Iyengar SS, Blaabjerg F (2017) A novel cloud-based platform for implementation of oblivious power routing for clusters of microgrids. IEEE Access 5:607–619. https://doi.org/10.1109/ACCESS.2016.2646418

  • Boudguiga A et al (2017) Towards better availability and accountability for IoT updates using a Blockchain. In: 2017 IEEE European symposium on security and privacy workshops (EuroS PW), pp 50–58. https://doi.org/10.1109/EuroSPW.2017.50

  • Chen S, Xu H, Liu D, Hu B, Wang H (2014) A Vision of IoT: applications, challenges, and opportunities with China perspective. IEEE Internet Things J 1(4):349–359. https://doi.org/10.1109/JIOT.2014.2337336

  • Chow R (2017) The last mile for IoT privacy. IEEE Secur Priv 15(6):73–76. https://doi.org/10.1109/MSP.2017.4251118

  • Christidis K, Devetsikiotis M (2016) Blockchains and smart contracts for the internet of things. IEEE Access 4:2292–2303

    Google Scholar 

  • Conoscenti M, Vetrò A, Martin JCD (2016) Blockchain for the Internet of Things: a systematic literature review. In: 2016 IEEE/ACS 13th international conference of computer systems and applications (AICCSA), pp 1–6. https://doi.org/10.1109/AICCSA.2016.7945805

  • Cui G, Li X, Xu L, Wang W (2020) Latency and energy optimization for MEC enhanced SAT-IoT networks. IEEE Access 8:55915–55926. https://doi.org/10.1109/ACCESS.2020.2982356

  • Daas MJ, Jubran M, Hussein M (2019) Energy Management Framework for 5G Ultra-Dense Networks Using Graph Theory. IEEE Access 7:175313–175323. https://doi.org/10.1109/ACCESS.2019.2957378

  • Di Francia G (2017) The development of sensor applications in the sectors of energy and environment in Italy 1976–2015. Sensors 17(4), Article no. 4. https://doi.org/10.3390/s17040793

  • Ebrahimy MM, Shafik W, Matinkhah SM (2019) A networked 5G unmanned aerial vehicle communication pricing and challenges. In: International conference on networking, communication and computing technology

    Google Scholar 

  • Ejaz W, Naeem M, Shahid A, Anpalagan A, Jo M (2017) Efficient energy management for the internet of things in smart cities. IEEE Commun Mag 55(1):84–91. https://doi.org/10.1109/MCOM.2017.1600218CM

  • Energies | Free Full-Text | Internet of Things for modern energy systems: state-of-the-art, challenges, and open issues. https://www.mdpi.com/1996-1073/11/5/1252. Accessed 19 Mar 2022

  • Global Energy & CO2 Status Report 2019—Analysis. IEA. https://www.iea.org/reports/global-energy-co2-status-report-2019. Accessed 15 Mar 2021

  • Group TM Smart sensor technology for the IoT. https://www.techbriefs.com/component/content/article/tb/pub/features/articles/33212. Accessed 12 Apr 2022

  • Grubler A et al (2018) A low energy demand scenario for meeting the 1.5 °C target and sustainable development goals without negative emission technologies. Nat Energy 3(6). https://doi.org/10.1038/s41560-018-0172-6

  • Gu S, Li J, Wang Y, Wang N, Zhang Q (2019) DR-MDS: an energy-efficient coding scheme in D2D distributed storage network for the internet of things. IEEE Access 7:24179–24191. https://doi.org/10.1109/ACCESS.2019.2900537

  • Haseeb K, Almogren A, Islam N, Ud Din I, Jan Z (2019) An energy-efficient and secure routing protocol for intrusion avoidance in IoT-based WSN. Energies 12(21). https://doi.org/10.3390/en12214174

  • Haseeb K, Almustafa KM, Jan Z, Saba T, Tariq U (2020) Secure and energy-aware heuristic routing protocol for wireless sensor network. IEEE Access 8:163962–163974. https://doi.org/10.1109/ACCESS.2020.3022285

  • Hawlitschek F, Notheisen B, Teubner T (2018) The limits of trust-free systems: a literature review on blockchain technology and trust in the sharing economy. Electron Commer Res Appl 29:50–63. https://doi.org/10.1016/j.elerap.2018.03.005

  • Home (2019) SDG Summit. https://sustainabledevelopment.un.org/sdgsummit. Accessed 07 Mar 2022

  • Hossain MS, Madlool NA, Rahim NA., Selvaraj J, Pandey AK, Khan AF (2016) Role of smart grid in renewable energy: an overview. Renew Sustain Energy Rev 60:1168–1184.https://doi.org/10.1016/j.rser.2015.09.098

  • Huh S, Cho S, Kim S (2017) Managing IoT devices using blockchain platform. In: 2017 19th international conference on advanced communication technology (ICACT), pp 464–467. https://doi.org/10.23919/ICACT.2017.7890132

  • Hui H, Ding Y, Shi Q, Li F, Song Y, Yan J (2020) 5G network-based Internet of Things for demand response in smart grid: a survey on application potential. Appl Energy 257:113972. https://doi.org/10.1016/j.apenergy.2019.113972

  • Ibarra-Esquer JE, González-Navarro FF, Flores-Rios BL, Burtseva L, Astorga-Vargas MA (2017) Tracking the evolution of the internet of things concept across different application domains. Sensors 17(6). https://doi.org/10.3390/s17061379

  • Internet of Things. https://www.ibm.com/cloud/internet-of-things. Accessed 24 July 2022

  • Jagtap S, Rahimifard S, Duong LN (2022) Real‐time data collection to improve energy efficiency: a case study of food manufacturer. J Food Process Preserv 46(8)

    Google Scholar 

  • Janssen M, Luthra S, Mangla S, Rana NP, Dwivedi YK (2019) Challenges for adopting and implementing IoT in smart cities: an integrated MICMAC-ISM approach. Internet Res 29(6):1589–1616. https://doi.org/10.1108/INTR-06-2018-0252

  • Jayaraman PP, Yang X, Yavari A, Georgakopoulos D, Yi X (2017) Privacy-preserving Internet of Things: from privacy techniques to a blueprint architecture and efficient implementation. Future Gener Comput Syst 76:540–549. https://doi.org/10.1016/j.future.2017.03.001

  • Jia M, Komeily A, Wang Y, Srinivasan RS (2019) Adopting Internet of Things for the development of smart buildings: a review of enabling technologies and applications. Autom Constr 101:111–126. https://doi.org/10.1016/j.autcon.2019.01.023

  • Jun Y, Craig A, Shafik W, Sharif L (2021) Artificial intelligence application in cybersecurity and cyberdefense. Wirel Commun Mob Comput. https://doi.org/10.1155/2021/3329581

  • Karnouskos S (2010) The cooperative internet of things enabled smart grid, pp 07–10

    Google Scholar 

  • Karunarathne GGKWMSIR, Kulawansa KADT, Firdhous MFM (2018) Wireless communication technologies in the Internet of Things: a critical evaluation. In: 2018 international conference on intelligent and innovative computing applications (ICONIC), pp 1–5. https://doi.org/10.1109/ICONIC.2018.8601226

  • Kaur N, Sood SK (2017) An energy-efficient architecture for the internet of things (IoT). IEEE Syst J 11(2):796–805. https://doi.org/10.1109/JSYST.2015.2469676

  • Khatua PK, Ramachandaramurthy VK, Kasinathan P, Yong JY, Pasupuleti J, Rajagopalan A (2020) Application and assessment of internet of things toward the sustainability of energy systems: challenges and issues. Sustain Cities Soc 53:101957. https://doi.org/10.1016/j.scs.2019.101957

  • Kshetri N (2017) Can blockchain strengthen the internet of things? IT Prof 19(4):68–72

    Google Scholar 

  • Lagerspetz E et al (2019) MegaSense: feasibility of low-cost sensors for pollution hot-spot detection. In: 2019 IEEE 17th international conference on industrial informatics (INDIN), pp 1083–1090. https://doi.org/10.1109/INDIN41052.2019.8971963

  • Lee C, Kim D, Kim J (2014) An energy-efficient active RFID protocol to avoid overhearing problem. IEEE Sens J 14(1):15–24. https://doi.org/10.1109/JSEN.2013.2279391

  • Lee CKM, Zhang SZ, Ng KKH (2017) Development of an industrial Internet of things suite for smart factory towards re-industrialization. Adv Manuf 5(4):335–343. https://doi.org/10.1007/s40436-017-0197-2

  • Li Z, Shahidehpour M, Aminifar F (2017) Cybersecurity in distributed power systems. Proc IEEE 105(7):1367–1388. https://doi.org/10.1109/JPROC.2017.2687865

  • Li S, Xu LD, Zhao S (2018) 5G Internet of Things: a survey. J Ind Inf Integr 10:1–9. https://doi.org/10.1016/j.jii.2018.01.005

  • Lin Y, Ahmad Z, Shafik W, Khosa KS, Almaspoor Z, Alsuhabi H et al (2021) Impact of facebook and newspaper advertising on sales: a comparative study of online and print media. Comput Intell Neurosci. https://doi.org/10.1155/2021/5995008

  • Luo X, Zhang H, Zhang Z, Yu Y, Li K (2019) A new framework of intelligent public transportation system based on the internet of things. IEEE Access 7:55290–55304. https://doi.org/10.1109/ACCESS.2019.2913288

  • Majumdar P, Mitra S, Bhattacharya D (2022) Green IoT for smart agricultural monitoring: prediction intelligence with machine learning algorithms, analysis of prototype, and review of emerging technologies. In: Handbook of intelligent computing and optimization for sustainable development, pp 637–53

    Google Scholar 

  • Matinkhah SM, Shafik W (2019a) Smart grid empowered by 5G technology. In: 2019a smart grid conference (SGC), Tehran, Iran, pp 1–6. https://doi.org/10.1109/SGC49328.2019.9056590

  • Matinkhah SM, Shafik W (2019b) A study on financial pricing and applications models on 5g. In: 4th international conference in financial mathematics, Yazd, Iran, pp 54–60

    Google Scholar 

  • Matinkhah SM, Shafik W (2019c) Broadcast communication analysis for 5g media radio access networks. In: 16th conference on broadcast and exhibition, Tehran, Iran.

    Google Scholar 

  • Matinkhah SM, Shafik W, Ghasemzadeh M (2019) Emerging artificial intelligence application: reinforcement learning issues on current internet of things. In: 2019 16th international conference in information knowledge and technology, Tehran, Iran. https://civilica.com/doc/982297/

  • Meddeb A (2016) Internet of things standards: who stands out from the crowd? IEEE Commun Mag 54(7):40–47. https://doi.org/10.1109/MCOM.2016.7514162

  • Meng H, Shafik W, Matinkhah SM, Ahmad Z (2020) A 5g beam selection machine learning algorithm for unmanned aerial vehicle applications. Wirel Commun Mob Comput. https://doi.org/10.1155/2020/1428968

  • Mohanty SP, Choppali U, Kougianos E (2016) Everything you wanted to know about smart cities: the Internet of things is the backbone. IEEE Consum Electron Mag 5(3):60–70. https://doi.org/10.1109/MCE.2016.2556879

  • Mostafavi S, Shafik W (2019) Fog computing architectures, privacy and security solutions. J Commun Technol, Electron Comput Sci 24:1–14. https://doi.org/10.22385/jctecs.v24i0.292

  • Motlagh NH, Khajavi SH, Jaribion A, Holmstrom J (2018) An IoT-based automation system for older homes: a use case for the lighting system. In: 2018 IEEE 11th conference on service-oriented computing and applications (SOCA), pp 1–6. https://doi.org/10.1109/SOCA.2018.8645771

  • Motlagh NH, Bagaa M, Taleb T (2019) Energy and delay aware task assignment mechanism for UAV-based IoT platform. IEEE Internet Things J 6(4):6523–6536. https://doi.org/10.1109/JIOT.2019.2907873

  • Nesa N, Banerjee I (2019) SensorRank: an energy-efficient sensor activation algorithm for sensor data fusion in wireless networks. IEEE Internet Things J 6(2):2532–2539. https://doi.org/10.1109/JIOT.2018.2871469

  • Nguyen D, Dow C, Hwang S (2022) An efficient traffic congestion monitoring system on internet of vehicles. Wirel Commun Mob Comput. https://www.hindawi.com/journals/wcmc/2018/9136813/. Accessed 12 Sept 2022.

  • Obeis NT, Lehmoud AA, Mutar AF (2022) Content delivery network for secure of software defined networking by using IPv4, OpenFlow, and ALTO. Period Eng Nat Sci (PEN) 10(2):231–240. https://doi.org/10.4108/eetiot.v8i29.1108

  • Ojo M, Adami D, Giordano S (2016) An SDN-IoT architecture with NFV implementation. In: IEEE globecom workshops (GC Wkshps), pp 1–6. https://doi.org/10.1109/GLOCOMW.2016.7848825

  • Petroșanu DM, Căruțașu G, Căruțașu NL, Pîrjan A (2019) A review of the recent developments in integrating machine learning models with sensor devices in the smart buildings sector to attain enhanced sensing, energy efficiency, and optimal building management. Energies 12(24). https://doi.org/10.3390/en12244745

  • Popli S, Jha RK, Jain S (2022) Green IoT: a short survey on technical evolution & techniques. Wirel Pers Commun 123(1):525–53

    Google Scholar 

  • Porambage P, Ylianttila M, Schmitt C, Kumar P, Gurtov A, Vasilakos AV (2016) The quest for privacy in the internet of things. IEEE Cloud Comput 3(2):36–45. https://doi.org/10.1109/MCC.2016.28

  • Poyner IK, Sherratt RS (2018) Privacy and security of consumer IoT devices for the pervasive monitoring of vulnerable people.https://doi.org/10.1049/cp.2018.0043

  • Ramamurthy A, Jain P (2017a) The internet of things in the power sector opportunities in Asia and the pacific. https://think-asia.org/handle/11540/7821. Accessed 09 Apr 2022

  • Ramamurthy A, Jain P (2017b) The internet of things in the power sector: opportunities in Asia and the pacific, vol 48. Asian Development Bank

    Google Scholar 

  • Reinfurt L, Falkenthal M, Breitenbücher U, Leymann F (2017) Applying IoT patterns to smart factory systems. Adv Summer Sch Serv Oriented Comput Summer SOC

    Google Scholar 

  • Risteska Stojkoska BL, Trivodaliev KV (2017) A review of Internet of Things for the smart home: challenges and solutions. J Clean Prod 140:1454–1464. https://doi.org/10.1016/j.jclepro.2016.10.006

  • Shafik W, Matinkhah SM (2020a) A portable fuzzy sink scheme for wireless sensor network life expectancy enhancement. IEEE Iran Jt Congr Fuzzy Intell Syst. https://doi.org/10.1109/CFIS49607.2020.9238684

  • Shafik W, Matinkhah SM (2021) Unmanned aerial vehicles analysis to social networks performance. CSI J Comput Sci Eng 18(2):24–31

    Google Scholar 

  • Shafik W, Mostafavi S (2020) Knowledge engineering on internet of things through reinforcement learning. Int J Comput Appl (IJCA) 177(44):1–7

    Google Scholar 

  • Shafik W, Matinkhah SM, Ghasemzadeh M (2019b) Fog-mobile edge performance evaluation and analysis on internet of things. J Adv Res Mob Comput 1(3):1–17. https://doi.org/10.5281/zenodo.3591228

  • Shafik W, Matinkhah SM, Ghasemzadeh M (2020g) Theoretical understanding of deep learning in uav biomedical engineering technologies analysis. SN Computer Science 1(6):1–13. https://doi.org/10.1007/s42979-020-00323-8

  • Shafik W (2021) A fast machine learning for beam selection in 5G unmanned aerial vehicle communications, MSc. dissertation, computer engineering department, Yazd University

    Google Scholar 

  • Shafik W, Matinkhah SM (2018) How to use Erlang B to determine the blocking probability of packet loss in a wireless communication. In: 13th symposium on advances in science & technology, Mashhad, Tehran

    Google Scholar 

  • Shafik W, Matinkhah SM (2019) Admitting new requests in fog networks according to erlang b distribution. In: 27th Iranian conference on electrical engineering, Yazd, Iran. https://doi.org/10.1109/IranianCEE.2019.8786518

  • Shafik W, Matinkhah SM (2020b) Dimensional fast machine learning algorithm for mobile unmanned aerial vehicle base stations. Int J Adv Appl Sci 28–38. https://doi.org/10.11591/ijaas.v10.i1

  • Shafik W, Matinkhah SM (2020c) A study of reinforcement learning on internet of things. In: International conference on science, engineering & technology, Singapura, Singapore

    Google Scholar 

  • Shafik W, Matinkhah SM (2019) Privacy issues in social web of things. In: 5th international conference on web research, Tehran, Islamic Republic of Iran, pp 208–214. https://doi.org/10.1109/ICWR.2019.8765254

  • Shafik W, Mostafavi SA (2019) Knowledge engineering on internet of things through reinforcement learning. Int J Comput Appl 975. https://doi.org/10.5120/ijca2020919952

  • Shafik W, Matinkhah SM, Ghasemzadeh M (2019a) A fast machine learning for 5g beam selection for unmanned aerial vehicle applications. J Inf Syst Telecommun 7(28):262–278. https://doi.org/10.7508/jist.2019.04.003

  • Shafik W, Matinkhah SM, Ghasemzadeh M (2019c) Emerging artificial intelligence application reinforcement learning issues on current internet of things. In: 10th conference on information and knowledge technology (IKT), Tehran, Iran

    Google Scholar 

  • Shafik W, Matinkhah SM, Afolabi SS, Sanda MN (2020a) A 3-dimensional fast machine learning algorithm for mobile unmanned aerial vehicle base stations. Int J Adv Appl Sci https://doi.org/10.11591/ijaas.v10.i1.pp28-38

  • Shafik W, Matinkhah SM, Ghasemzadeh M (2020b) A mobile fuzzy sink scheme for wireless sensor network period improvement. In: 8th Iranian joint congress on fuzzy and intelligent systems, Mashhad, Iran, pp 211–216. https://doi.org/10.1109/CFIS49607.2020.9238684

  • Shafik W, Matinkhah SM, Asadi M, Ahmadi Z, Hadiyan Z (2020c) A study on internet of things performance evaluation. J Commun Technol, Electron Comput Sci 1–19. https://doi.org/10.22385/jctecs.v28i0.303

  • Shafik W, Matinkhah SM, Ghasemzadeh M (2020d) Internet of things-based energy management, challenges, and solutions in smart cities. J Commun Technol, Electron Comput Sci 27:1–11. https://doi.org/10.22385/jctecs.v27i0.302

  • Shafik W, Matinkhah SM, Sanda MN (2020e) Network resource management drives machine learning: a survey and future research direction. J Commun Technol, Electron Comput Sci 1–15. https://doi.org/10.22385/jctecs.v30i0.312

  • Shafik W, Matinkhah SM, Etemadinejad P, Sanda MN (2020f) Reinforcement learning rebirth, techniques, challenges, and resolutions. Int J Inform Vis 4(3):127–135. https://doi.org/10.30630/joiv.4.3.376

  • Shafik W, Matinkhah SM, Sanda MN, Shokoor F (2021) Internet of things-based energy efficiency optimization model in fog smart cities. Int J Inform Vis 5(2):105–112. https://doi.org/10.4108/eetiot.v8i29.1108

  • Shafik W, Matinkhah SM, Shokoor F, Sharif L (2022a) A reawakening of machine learning application in unmanned aerial vehicle: future research motivation. EAI Endorsed Trans Internet Things 8(29). https://doi.org/10.4108/eetiot.v8i29.987

  • Shafik W, Matinkhah SM, Shokoor F (2022b) Recommendation system comparative analysis: internet of things aided networks. EAI Endorsed Trans IoT 8(29). https://doi.org/10.4108/eetiot.v8i29.1108

  • Shaikh FK, Zeadally S, Exposito E (2017) Enabling technologies for green internet of things. IEEE Syst J 11(2):983–994. https://doi.org/10.1109/JSYST.2015.2415194

  • Shokoor F, Shafik W, Matinkhah SM (2022) Overview of 5G & beyond security. EAI Endorsed Trans Internet Things 8(30)

    Google Scholar 

  • SIGFOX.COM. https://www.sigfox.com/en. Accessed 12 Apr 2022

  • Song T, Li R, Mei B, Yu J, Xing X, Cheng X (2017) A privacy-preserving communication protocol for IoT applications in smart homes. IEEE Internet Things J 4(6):1844–1852. https://doi.org/10.1109/JIOT.2017.2707489

  • Su Z, Feng W, Tang J, Chen. Z, Fu Y, Zhao N, Wong KK (2022) Energy efficiency optimization for D2D communications underlaying UAV-assisted industrial iot networks with SWIPT. IEEE Internet Things J

    Google Scholar 

  • Summary for Policymakers—Global Warming of 1.5 °C. https://www.ipcc.ch/sr15/chapter/spm/. Accessed 06 June 2022

  • Tamilselvan K, Thangaraj P (2020) Pods—a novel intelligent energy-efficient and dynamic frequency scalings for multi-core embedded architectures in an IoT environment. Micro process Microsyst 72. https://doi.org/10.1016/j.micpro.2019.102907

  • Tan YS, Ng YY, Low JS (2017) Internet-of-things enabled real-time monitoring of energy efficiency on manufacturing shop floors. Procedia CIRP 61:376–381. https://doi.org/10.1016/j.procir.2016.11.242

  • Thibaud M, Chi H, Zhou W, Piramuthu S (2018) Internet of Things (IoT) in high-risk Environment, Health and Safety (EHS) industries: a comprehensive review. Decis Support Syst 108:79–95. https://doi.org/10.1016/j.dss.2018.02.005

  • Thilakarathne NN, Kagita MK, Priyashan WD (2022) Green internet of things: the next generation energy efficient internet of things. Appl Inf Process Syst 391–402. Springer, Singapore. https://doi.org/10.1007/978-981-16-2008-9_38

  • Vakiloroaya V, Samali B, Fakhar A, Pishghadam K (2014) A review of different strategies for HVAC energy saving. Energy Convers Manag 77:738–754. https://doi.org/10.1016/j.enconman.2013.10.023

  • Wang J, Jiang C, Zhang K, Hou X, Ren Y, Qian Y (2020) Distributed Q-learning aided heterogeneous network association for energy-efficient IIoT. IEEE Trans Ind Inform 16(4):2756–2764. https://doi.org/10.1109/TII.2019.2954334

  • Wong TY, Shum C, Lau WH, Chung SH, Tsang KF, Tse CF (2016) Modeling and co-simulation of IEC61850-based microgrid protection. In: 2016 IEEE international conference on smart grid communications (SmartGridComm), pp 582–587. https://doi.org/10.1109/SmartGridComm.2016.7778824

  • Xing G et al (2019) Energy consumption in relay underwater acoustic sensor networks for NDN. IEEE Access 7:42694–42702. https://doi.org/10.1109/ACCESS.2019.2907693

  • Yang Z, Jianjun L, Faqiri H, Shafik W, Talal Abdulrahman A et al (2021) Green internet of things and big data application in smart cities development. Complexity. https://doi.org/10.1155/2021/4922697

  • Yazdinejad A, Parizi RM, Dehghantanha A, Zhang Q, Choo KKR (2020) An energy-efficient SDN controller architecture for IoT networks with blockchain-based security. IEEE Trans Serv Comput 13(4):625–638. https://doi.org/10.1109/TSC.2020.2966970

  • Yazdinejad A, Bohlooli A, Jamshidi K (2018a) Efficient design and hardware implementation of the OpenFlow v1.3 Switch on the Virtex-6 FPGA ML605. J Supercomput 74(3):1299–1320. https://doi.org/10.1007/s11227-017-2175-7

  • Yazdinejad A, Bohlooli A, Jamshidi K (2018b) P4 to SDNet: automatic generation of an efficient protocol-independent packet parser on reconfigurable hardware. In: 2018b 8th international conference on computer and knowledge engineering (ICCKE), pp 159–164. https://doi.org/10.1109/ICCKE.2018.8566590

  • Yazdinejad A, Bohlooli A, Jamshidi K (2019) Performance improvement and hardware implementation of open flow switch using FPGA. In: 2019 5th conference on knowledge-based engineering and innovation (KBEI), pp 515–520. https://doi.org/10.1109/KBEI.2019.8734914

  • Zhang X, Zhang X, Han L (2019a) An energy-efficient internet of things network using restart artificial bee colony and wireless power transfer. IEEE Access 7:12686–12695. https://doi.org/10.1109/ACCESS.2019.2892798

  • Zhang G, Shen F, Liu Z, Yang Y, Wang K, Zhou M (2019b) FEMTO: fair and energy-minimized task offloading for fog-enabled IoT networks. IEEE Internet Things J 6(3):4388–4400. https://doi.org/10.1109/JIOT.2018.2887229

  • Zhao L, Zhu D, Shafik W, Matinkhah SM, Ahmad Z et al (2022) Artificial intelligence analysis in cyber domain: a review. Int J Distrib Sens Netw 18(4). https://doi.org/10.1177/15501329221084882

  • Zhou K, Yang S, Shao Z (2016) Energy internet: the business perspective. Appl Energy 178:212–222. https://doi.org/10.1016/j.apenergy.2016.06.052

  • Zhu CM, Leung VC, Shu L, Nga EC (2015) Green internet of things for smart world. IEEE Access 3:2151–2162.https://doi.org/10.1109/ACCESS.2015.2497312

  • Zouinkhi A, Ayadi H, Val T, Boussaid B, Abdelkrim MN (2020) Auto-management of energy in IoT networks. Int J Commun Syst 33(1). https://doi.org/10.1002/dac.4168

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ali Tufail .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Shafik, W., Tufail, A. (2023). Energy Optimization Analysis on Internet of Things. In: Mabrouki, J., Mourade, A., Irshad , A., Chaudhry, S. (eds) Advanced Technology for Smart Environment and Energy. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-25662-2_1

Download citation

Publish with us

Policies and ethics