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Green internet of things and solar energy

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Abstract

The Internet of Things (IoT) stands out as one of the most captivating technologies of the current decade. Its ability to connect people and things anytime and anywhere has led to its rapid expansion and numerous impactful applications that enhance human life. With billions of connected devices and substantial power and infrastructure requirements, the IoT system can pose a threat to the environment. However, the IoT’s vast range of resources and capabilities can also be leveraged to assist in environmental conservation in the evolution of technologies due to massive CO2 emissions, climate change, and environmental and health issues. In this study, with the two-way integration of IoT and green practices, two distinct concepts for green IoT are presented. Among green practices, energy solutions play a vital role in greening the IoT. In this study, the energy solutions for the IoT system are divided as reducing energy consumption and using green energy sources. Solutions for reducing IoT energy consumption are studied systematically through a five-layer framework to simplify its modular design and implementation. Then, the use of green energy resources is discussed for all components of the IoT ecosystem. Leveraging IoT to make the environment and other technologies green is the other concept of green IoT. IoT technology plays a crucial role in enhancing both energy management systems and the efficient harvesting of renewable energy sources. Switching to solar energy from fossil fuel energy is one of the most fundamental green practices today. In this study, the mutual relationship between solar energy harvesting and the IoT is addressed specifically. Several promising research directions in the realm of green IoT are also highlighted.

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References

  • Abbasian Dehkordi S, Farajzadeh K, Rezazadeh J, Farahbakhsh R, Sandrasegaran K, Abbasian Dehkordi M (2020) A survey on data aggregation techniques in IoT sensor networks. Wirel Netw 26:1243–1263

    Article  Google Scholar 

  • Abd El-Mawla N, Badawy M, Arafat H (2019) Iot for the failure of climate-change mitigation and adaptation and IIot as a future solution. World J Environ Eng 6(1):7–16

    Article  Google Scholar 

  • Abedin SF, Alam MGR, Haw R, Hong CS (2015) A system model for energy efficient green-IoT network. 2015 international conference on information networking (ICOIN). IEEE, pp 177–182

  • Aithal P, Aithal S (2016) Opportunities & Challenges for Green Technology in 21st Century. Int J Sci Technol Educ Res Modern Educ (IJCRME) 1(1):818–828

    Google Scholar 

  • Al-Sarawi S, Anbar M, Alieyan K, Alzubaidi M (2017) Internet of Things (IoT) communication protocols. In: 2017 8th International conference on information technology (ICIT). IEEE, pp 685–690

  • Alsaryrah O, Mashal I, Chung TY (2018) Energy-aware services composition for Internet of Things. In: 2018 IEEE 4th World Forum on Internet of Things (WF-IoT). IEEE, pp 604–608

  • Anastasi G, Conti M, Di Francesco M, Passarella A (2009) Energy conservation in wireless sensor networks: a survey. Ad hoc networks 7(3):537–568

    Article  Google Scholar 

  • Aqib M, Zaman K (2023) Greening the workforce: the power of investing in human capital. Archives of the Social Sciences. A Journal of Collaborative Memory 1(1):31–51

  • Armbrust M, Fox A, Griffith R, Joseph AD, Katz R, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I (2010) A view of cloud computing. Commun ACM 53(4):50–58

    Article  Google Scholar 

  • Arshad R, Zahoor S, Shah MA, Wahid A, Yu H (2017) Green IoT: an investigation on energy saving practices for 2020 and beyond. IEEE Access 5:15667–15681

    Article  Google Scholar 

  • Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54(15):2787–2805

    Article  Google Scholar 

  • Azar J, Makhoul A, Barhamgi M, Couturier R (2019) An energy efficient IoT data compression approach for edge machine learning. Future Gener Comput Syst 96:168–175

    Article  Google Scholar 

  • Baliga J, Ayre RW, Hinton K, Tucker RS (2010) Green cloud computing: balancing energy in processing, storage, and transport. Proc IEEE 99(1):149–167

    Article  Google Scholar 

  • Ben Alla S, Ben Alla H, Touhafi A, Ezzati A (2019) An efficient energy-aware tasks scheduling with deadline-constrained in cloud computing. Computers 8(2):46

    Article  Google Scholar 

  • Bhau GV, Deshmukh RG, Chowdhury S, Sesharao Y, Abilmazhinov Y (2023) IoT based solar energy monitoring system. Mater Today: Proc 80:3697–3701

    Google Scholar 

  • Boye JI, Arcand Y (2013) Current trends in green technologies in food production and processing. Food Eng Rev 5:1–17

    Article  CAS  Google Scholar 

  • Broday EE, Gameiro da Silva MC (2023) The role of internet of things (IoT) in the assessment and communication of indoor environmental quality (IEQ) in buildings: a review. Smart Sustain Built Environ 12(3):584–606

    Article  Google Scholar 

  • Burhan M, Rehman RA, Khan B, Kim B-S (2018) IoT elements, layered architectures and security issues: a comprehensive survey. Sensors 18(9):2796

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  • Carrano RC, Passos D, Magalhaes LC, Albuquerque CV (2013) Survey and taxonomy of duty cycling mechanisms in wireless sensor networks. IEEE Commun Surv Tutor 16(1):181–194

    Article  Google Scholar 

  • Castello CC, Fan J, Davari A, Chen RX (2010) Optimal sensor placement strategy for environmental monitoring using wireless sensor networks. In: 2010 42nd Southeastern Symposium on System Theory (SSST). IEEE, pp 275–279

  • Centenaro M, Costa CE, Granelli F, Sacchi C, Vangelista L (2021) A survey on technologies, standards and open challenges in satellite Iot. IEEE Commun Surv Tutor 23(3):1693–1720

    Article  Google Scholar 

  • Chaudhary K, Kumar D (2018) Satellite solar wireless power transfer for baseload ground supply: clean energy for the future. Eur J Futures Res 6(1):1–9

    Article  Google Scholar 

  • Cheddadi Y, Cheddadi H, Cheddadi F, Errahimi F, Es-sbai N (2020) Design and implementation of an intelligent low-cost IoT solution for energy monitoring of photovoltaic stations. SN Appl Sci 2(7):1–11

    Article  Google Scholar 

  • Chen B, Wan J, Shu L, Li P, Mukherjee M, Yin B (2017) Smart factory of industry 4.0: key technologies, application case, and challenges. IEEE Access 6:6505–6519

    Article  Google Scholar 

  • Chen JIZ, Lai K-L (2020) Machine learning based energy management at Internet of Things network nodes. J Trends in Computer Sci Smart Technol 2020(3):127–133

    Article  Google Scholar 

  • Chinipardaz M, Amraee S (2022) Study on IoT networks with the combined use of wireless power transmission and solar energy harvesting. Sādhanā 47(2):1–16

    Article  Google Scholar 

  • Çorak BH, Okay FY, Güzel M, Murt Ş, Ozdemir S (2018) Comparative analysis of IoT communication protocols. In: 2018 International symposium on networks, computers and communications (ISNCC). IEEE, pp 1–6

  • Da Xu L, He W, Li S (2014) Internet of things in industries: a survey. IEEE Trans Industr Inform 10(4):2233–2243

    Article  Google Scholar 

  • Dange S, Chatterjee M (2019) IoT botnet: the largest threat to the IoT network. In: Data Communication and Networks. Advances in Intelligent Systems and Computing, vol 1049. Springer, Singapore, pp 137–157

  • Deng D-J, Gan M, Guo Y-C, Yu J, Lin Y-P, Lien S-Y, Chen K-C (2019) IEEE 802.11 ba: low-power wake-up radio for green IoT. IEEE Commun Mag 57(7):106–112

    Article  Google Scholar 

  • Fadil DA, Al-Bahadili RJ, Abdullah MN (2023) Energy harvesting schemes for internet of things: a review. Indones J Electr Eng Comput Sci 29(2):1088–1094

    Google Scholar 

  • Fakhar A, Haidar AM, Abdullah M, Das N (2023) Smart grid mechanism for green energy management: a comprehensive review. Int J Green Energy 20(3):284–308

    Article  Google Scholar 

  • Goel A, Gautam S (2023) Green IoT: environment-friendly approach to IoT. Advances in Data Science and Analytics: Concepts and Paradigms, pp 247–274

    Google Scholar 

  • Guiloufi AB, El Khediri S, Nasri N, Kachouri A (2023) A comparative study of energy efficient algorithms for IoT applications based on WSNs. Multimed Tools Appl 82:42239–42275

  • Guo S, Wang C, Yang Y (2014) Joint mobile data gathering and energy provisioning in wireless rechargeable sensor networks. IEEE Trans Mob Comput 13(12):2836–2852

    Article  Google Scholar 

  • Hossein Motlagh N, Mohammadrezaei M, Hunt J, Zakeri B (2020) Internet of Things (IoT) and the energy sector. Energies 13(2):494

    Article  Google Scholar 

  • Iskandar HR, Sambasri S, Saputra DI, Heryana N, Purwadi A, Marsudiono M (2019) IoT Application for On-line Monitoring of 1 kWp Photovoltaic System Based on NodeMCU ESP8266 and Android Application. In: 2019 2nd International Conference on High Voltage Engineering and Power Systems (ICHVEPS). IEEE, pp 230–234

  • Jararweh Y, Issa MB, Daraghmeh M, Al-Ayyoub M, Alsmirat MA (2018) Energy efficient dynamic resource management in cloud computing based on logistic regression model and median absolute deviation. Sustain Comput: Inform Syst 19:262–274

    Google Scholar 

  • Jayanetti A, Halgamuge S, Buyya R (2022) Deep reinforcement learning for energy and time optimized scheduling of precedence-constrained tasks in edge–cloud computing environments. Future Gener Comput Syst 137:14–30

    Article  Google Scholar 

  • Jones C, Lowe J, Liddicoat S, Betts R (2009) Committed terrestrial ecosystem changes due to climate change. Nat Geosci 2(7):484–487

    Article  ADS  CAS  Google Scholar 

  • Juels A (2006) RFID security and privacy: a research survey. IEEE J Sel Areas Commun 24(2):381–394

    Article  MathSciNet  Google Scholar 

  • Kannan N, Vakeesan D (2016) Solar energy for future world: a review. Renew Sustain Energy Rev 62:1092–1105

    Article  Google Scholar 

  • Karbhari GV, Nema P.  Adaptive solar energy management system based on Internet of Things. Int J Res Applied Sci Eng Technol 8(3):471–474

  • Katyarmal M, Walkunde S, Sakhare A, Rawandale U (2018) Solar power monitoring system using IoT. Int Res J Eng Technol (IRJET) 5(3):2395–0056

    Google Scholar 

  • Kaur N, Sood SK (2015) An energy-efficient architecture for the Internet of Things (IoT). IEEE Syst J 11(2):796–805

    Article  ADS  Google Scholar 

  • Kazmerski L (2016) Renewable and sustainable energy reviews. Renew Sustain Energy Rev 38:834–847

    Google Scholar 

  • Khan MT, Imran M (2023) Unveiling the carbon footprint of Europe and Central Asia: insights into the impact of key factors on CO2 emissions. Archives Soc Sci: J Collaborative Memory 1(1):52–66

    MathSciNet  Google Scholar 

  • Khare SK (2022) Role of emerging technologies in energy transformation and development of clean and green energy solutions. Emerging Technologies for Sustainable and Smart Energy, pp 207–227

  • Khodr H, Kouzayha N, Abdallah M, Costantine J, Dawy Z (2017) Energy efficient IoT sensor with RF wake-up and addressing capability. IEEE Sens Lett 1(6):1–4

    Article  Google Scholar 

  • Kumar PG, Yuvaraj N, Kumaresan V, Velraj R (2020) Selection of heat transfer fluids for solar thermal applications using multi-criteria decision-making tools. J Test Eval 48(1):595–612

    Article  CAS  Google Scholar 

  • Kumari N, Kumar R, Bajaj R (2018) Energy efficient communication using reconfigurable directional antenna in MANET. Procedia Comput Sci 125:194–200

    Article  Google Scholar 

  • Lee I, Lee K (2015) The Internet of Things (IoT): applications, investments, and challenges for enterprises. Bus Horiz 58(4):431–440

    Article  Google Scholar 

  • Li H, Ota K, Dong M (2018) Learning IoT in edge: deep learning for the Internet of Things with edge computing. IEEE Network 32(1):96–101

    Article  Google Scholar 

  • Lin Y-H, Chou Z-T, Yu C-W, Jan R-H (2015) Optimal and maximized configurable power saving protocols for corona-based wireless sensor networks. IEEE Trans Mob Comput 14(12):2544–2559

    Article  Google Scholar 

  • Liu X, Ansari N (2019) Toward green IoT: energy solutions and key challenges. IEEE Commun Mag 57(3):104–110

    Article  ADS  Google Scholar 

  • Manivannan SP, Gunasekaran DL, Jaganathan G, Natesan S, Muthusamy SM, Kim SC, Kumar B, Poongavanam GK, Duraisamy S (2022) Energy and environmental analysis of a solar evacuated tube heat pipe integrated thermoelectric generator using IoT. Environ Sci Pollut Res 29(38):57835–57850

    Article  CAS  Google Scholar 

  • 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

    Article  Google Scholar 

  • Murugesan S (2008) Harnessing green IT: principles and practices. IT Prof 10(1):24–33

    Article  MathSciNet  Google Scholar 

  • Muthanna MSA, Muthanna A, Rafiq A, Hammoudeh M, Alkanhel R, Lynch S, Abd El-Latif AA (2022) Deep reinforcement learning based transmission policy enforcement and multi-hop routing in QoS aware LoRa IoT networks. Comput Commun 183:33–50

    Article  Google Scholar 

  • Orumwense EF, Abo-Al-Ez K (2023) Internet of Things for smart energy systems: a review on its applications, challenges and future trends. AIMS Electron Electr Eng 7(1):50–74

    Article  Google Scholar 

  • Patel KK, Patel SM, Scholar P (2016) Internet of things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges. Int J Comput Sci Eng 6(5):6122–6131

    Google Scholar 

  • Popli S, Jha RK, Jain S (2018) A survey on energy efficient narrowband internet of things (NBIoT): architecture, application and challenges. IEEE Access 7:16739–16776

    Article  Google Scholar 

  • Prabakaran R, Sivalingam V, Kim SC, Ganesh Kumar P, Praveen Kumar G (2022) Future refrigerants with low global warming potential for residential air conditioning system: a thermodynamic analysis and MCDM tool optimization. Environ Sci Pollut Res 29(52):78414–78428

    Article  Google Scholar 

  • Praghash K, Dhathri E, Arunmetha S, Reddy NM, Kanakaraja P, Guruju S (2021) Design and Implementation of IoT based Smart Streetlights Systems. In: 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC). IEEE, pp 248–252

  • Radu L-D (2017) Green cloud computing: a literature survey. Symmetry 9(12):295

    Article  ADS  Google Scholar 

  • Rani DP, Suresh D, Kapula PR, Akram CM, Hemalatha N, Soni PK (2023) IoT based smart solar energy monitoring systems. Mater Today: Proc 80:3540–3545

    Google Scholar 

  • Safara F, Souri A, Baker T, Al Ridhawi I, Aloqaily M (2020) PriNergy: a priority-based energy-efficient routing method for IoT systems. J Supercomput 76(11):8609–8626

    Article  Google Scholar 

  • Sahoo B, Rath S, Puthal D (2012) Energy efficient protocols for wireless sensor networks: a survey and approach. Int J Comput Appl 44(18):43–48

    Google Scholar 

  • Said O, Masud M (2013) Towards internet of things: survey and future vision. Int J Comput Netw Commun 5(1):1–17

    Google Scholar 

  • Sehrawat D, Gill NS (2019) Smart sensors: analysis of different types of IoT sensors. In: 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, pp 523–528

  • Sethi P, Sarangi SR (2017) Internet of things: architectures, protocols, and applications. J Electr Comput Eng. https://doi.org/10.1155/2017/9324035

  • Shaikh FK, Zeadally S, Exposito E (2015) Enabling technologies for green internet of things. IEEE Syst J 11(2):983–994

    Article  ADS  Google Scholar 

  • Shakya S (2021) A self monitoring and analyzing system for solar power station using IoT and data mining algorithms. J Soft Computing Paradigm 3(2):96–109

    Article  Google Scholar 

  • Simjee FI, Chou PH (2008) Efficient charging of supercapacitors for extended lifetime of wireless sensor nodes. IEEE Trans Power Electron 23(3):1526–1536

    Article  ADS  Google Scholar 

  • Sitharthan R, Vimal S, Verma A, Karthikeyan M, Dhanabalan SS, Prabaharan N, Rajesh M, Eswaran T (2023) Smart microgrid with the internet of things for adequate energy management and analysis. Comput Electr Eng 106:108556

    Article  Google Scholar 

  • Spanias AS (2017) Solar energy management as an Internet of Things (IoT) application. In: 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA). IEEE, pp 1–4

  • Srbinovski B, Magno M, O'Flynn B, Pakrashi V, Popovici E (2015) Energy aware adaptive sampling algorithm for energy harvesting wireless sensor networks. In: 2015 IEEE Sensors Applications Symposium (SAS). IEEE, pp 1–6

  • Tahiliani V, Dizalwar M (2018) Green iot systems: an energy efficient perspective. In: 2018 Eleventh International Conference on Contemporary Computing (IC3). IEEE, pp 1–6

  • Tuysuz MF, Trestian R (2020) From serendipity to sustainable green IoT: technical, industrial and political perspective. Computer Netw 182:107469

    Article  Google Scholar 

  • Vashi S, Ram J, Modi J, Verma S, Prakash C (2017) Internet of Things (IoT): a vision, architectural elements, and security issues. In: 2017 international conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC). IEEE, pp 492–496

  • Wang C, Li J, Yang Y, Ye F (2016a) A hybrid framework combining solar energy harvesting and wireless charging for wireless sensor networks. In: IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer Communications. IEEE, pp 1–9

  • Wang J, Xiao F, Zhao H (2021) Thermoelectric, piezoelectric and photovoltaic harvesting technologies for pavement engineering. Renew Sustain Energy Rev 151:111522

    Article  Google Scholar 

  • Wang K, Wang Y, Sun Y, Guo S, Wu J (2016b) Green industrial Internet of Things architecture: an energy-efficient perspective. IEEE Commun Mag 54(12):48–54

    Article  Google Scholar 

  • Xu Y, Jiang S, Wu J (2018) Towards energy efficient device-to-device content dissemination in cellular networks. IEEE Access 6:25816–25828

    Article  Google Scholar 

  • Yassein MB, Shatnawi MQ (2016) Application layer protocols for the Internet of Things: a survey. In: 2016 International Conference on Engineering & MIS (ICEMIS). IEEE, pp 1–4

  • Yu W, Liang F, He X, Hatcher WG, Lu C, Lin J, Yang X (2017) A survey on the edge computing for the Internet of Things. IEEE Access 6:6900–6919

    Article  Google Scholar 

  • Yue X, Kauer M, Bellanger M, Beard O, Brownlow M, Gibson D, Clark C, MacGregor C, Song S (2017) Development of an indoor photovoltaic energy harvesting module for autonomous sensors in building air quality applications. IEEE Internet Things J 4(6):2092–2103

    Article  Google Scholar 

  • Zhang Z, Shu L, Zhu C, Mukherjee M (2018) A short review on sleep scheduling mechanism in wireless sensor networks. In: Quality, Reliability, Security and Robustness in Heterogeneous Systems: 13th International Conference, QShine 2017, Dalian, China, December 16-17, 2017, Proceedings 13.. Springer International Publishing, pp 66–70

  • Zhu C, Leung VC, Shu L, Ngai EC-H (2015) Green internet of things for smart world. IEEE Access 3:2151–2162

    Article  Google Scholar 

  • Zhu C, Shu L, Hara T, Wang L, Nishio S, Yang LT (2014) A survey on communication and data management issues in mobile sensor networks. Wirel Commun Mob Comput 14(1):19–36

    Article  Google Scholar 

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All authors contributed to the conception and design of the study. Maryam Chinipardaz prepared the sections “Greening the IoT” and “Using solar energy harvesting for IoT.” Ali Khoramfar investigated the “IoT-layered architecture” section and prepared the figures. Maryam Chinipardaz and Ali Khoramfar also prepared the original draft paper. Somaieh Amraee investigated the section “Using IoT for solar energy harvesting” and reviewed and edited the paper. All authors have read and approved the final version of the manuscript.

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Correspondence to Maryam Chinipardaz.

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Chinipardaz, M., Khoramfar, A. & Amraee, S. Green internet of things and solar energy. Environ Sci Pollut Res 31, 18296–18312 (2024). https://doi.org/10.1007/s11356-023-31141-z

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