Abstract
The application of internet of things is considered as one of the key cornerstones in the new fifth generation network, it is estimated that more than 40 billion IoT devices will be in place around the work by 2025. The current focus of government and non-profit organisations revolves around implementing energy saving practices, emission of carbon and managing the ecology for sustainable future. The basic objective of Green IoT is to reduce the emission of harmful greenhouse gases and other toxic pollutants, support the government and other stakeholders in conserving the environment and reduce the power consumption. The adoption of the various techniques through Green IoT will lead to creating better and sustainable environment. The Green IoT enables in applying efficient procedures which enables in facilitating the reduction of the harmful substances and to enhance sustainable ecology for the future generation. The smart environment is the one which is focused in leveraging the IoT services, enable in deploying the resources effectively and use the resources so that the energy can be used effectively. This paper attempts to provide the enhanced opportunities and critical challenges in implementing the Green IoT towards energy saving practices. The Green IoT enables in indicating the application of critical practices for green environment and also supports in saving more cost and energy. This enables in offering systematic solution which will create sustainable growth for the community and also enable in addressing the societal challenges effectively.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Arshad, R., Zahoor, S., Shah, M.A.: Green IoT: an investigation on energy saving practices for 2020 and beyond. Special Section On Future Networks: Architectures, Protocols, And Applications (2017)
Albreem, M., Alsharif, M.H., Yasin, M.N.M.: Green Internet of Things (GIoT): applications, practices, awareness, and challenges. IEEE Access (2021)
Ji, O.A., Tolba, A.: Artificial intelligence-empowered edge of vehicles: Architecture, enabling technologies, and applications. IEEE Access 8, 61020–61034 (2020)
Oliveira, M.C., Pinto, S., Gomes, T.: The future of low-end motes in the Internet of Things: a prospective paper. Electronics 9(1), 111 (2020)
Gadre, M.: Green Internet of Things (IoT): go green with IoT. Int. J. Eng. Res. Technol. (IJERT). ICIOT—2016 4(29)
Jain, A., Yadav, A.K., Shrivastava, Y.: Modelling and optimization of different quality characteristics in electric discharge drilling of titanium alloy sheet. Mater. Today Proc. 21, 1680–1684 (2019)
Jain, A., Pandey, A.K.: Modeling and optimizing of different quality characteristics in electrical discharge drilling of titanium alloy (grade-5) sheet. Mater. Today Proc. 18, 182–191 (2019)
Gupta, M.K., Magdum, M., Baldawa, Y., Patil, S.: Smart water management in housing societies using IoT. In: Proceedings of 2nd International Conference on. Inventive Communication and Computational Technologies (ICICCT), Apr. 2018, pp. 1609–1613
Ebo, O.J.F., Taiwo, O., Olumuyiwa, B.A.: An enhanced secured IOT model for enterprise architecture. In: Proceedings of International Conference in Mathematics, Computer Engineering and Computer Science (ICMCECS), Mar. 2020, pp. 1–6
Xu, W.L., Huang, J., Yang, C., Lu, J., Tan, H.: Artificial intelligence for securing IoT services in edge computing: a survey. Secur. Commun. Netw. 2020, 1–13 (2020)
Jain, A., Pandey, A.K.: Multiple quality optimizations in electrical discharge drilling of mild steel sheet. Mater. Today Proc. 8, 7252–7261 (2019)
Panwar, V., Sharma, D.K., Kumar, K.V.P., Jain, A., Thakar, C.: Experimental investigations and optimization of surface roughness in turning of EN 36 alloy steel using response surface methodology and genetic algorithm. Mater. Today Proc.
Kunal, A.S., Amin, R.: An overview of cloud-fog computing: architectures, applications with security challenges. Secur. Privacy 2(4), e72 (2019)
Rahbari, Nickray, M.: Low-latency and energy-efficient scheduling in fog-based IoT applications. Turk. J. Electr. Eng. Comput. Sci., 1406–1427 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Vyas, S., Narasima Venkatesh, A., Acharjee, P.B., Jangali, S.G., Singh, C., Khan, Z.Z. (2023). The Opportunities and Challenges of Implementing Green Internet of Things (IoT) Towards Energy Saving Practices in the Current Environment. In: Yadav, S., Haleem, A., Arora, P.K., Kumar, H. (eds) Proceedings of Second International Conference in Mechanical and Energy Technology. Smart Innovation, Systems and Technologies, vol 290. Springer, Singapore. https://doi.org/10.1007/978-981-19-0108-9_2
Download citation
DOI: https://doi.org/10.1007/978-981-19-0108-9_2
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-0107-2
Online ISBN: 978-981-19-0108-9
eBook Packages: EngineeringEngineering (R0)