Implementation of Green IoT to Achieve Sustainable Environment for Improving Energy Efficiency
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Abstract
The Internet of Things (IoT) has emerged as a powerful tool in the pursuit of achieving a sustainable environment. This abstract highlights the key facets of IoT implementation to foster sustainability. IoT's ability to seamlessly connect devices, collect real-time data, and enable intelligent decision-making has revolutionized various sectors, including energy management, waste reduction, and conservation of natural resources. One of the pivotal applications of IoT in sustainability is in energy management. Smart grids, powered by IoT, optimize energy distribution, reduce wastage, and integrate renewable energy sources effectively. IoT-driven sensors and controls in buildings further enhance energy efficiency through automated lighting, heating, and cooling systems, resulting in reduced carbon emissions. IoT's impact extends to waste management by enabling smart bins that monitor and optimize waste collection routes. This minimizes fuel consumption, reduces traffic congestion, and mitigates the environmental footprint of waste disposal. Moreover, IoT-driven sensors in agricultural practices facilitate precision farming, optimizing resource utilization and minimizing environmental impact. Natural resource conservation is another realm where IoT plays a pivotal role. Smart sensors and remote monitoring devices enable real-time tracking of water quality, air pollution levels, and forest health. This data empowers policymakers and environmentalists to make informed decisions, mitigating the consequences of environmental degradation. To achieve a sustainable green environment through IoT, it's essential to consider data privacy, security, and interoperability between devices and systems
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IKRAM UD DIN, MOHSEN GUIZANI, BYUNG-SEO KIM, SUHAIDI HASSAN, AND MUHAMMAD KHURRAM KHAN,Trust management Techniques for Internet of Things,2019, IEEE https://doi.org/10.1109/ACCESS.2018.2880838
Wenliang Mao, Zhiwei Zhao, Zheng Chang, Geyong Min, and Weifeng Gao, Energy-Efficient Industrial Internet of Things: Overview and Open Issues,2021, IEEE.
Manoj Muniswamaiah, Tilak Agerwala and Charles C. Tappert,Green computing for Internet of Things,2020,IEEE https://doi.org/10.1109/CSCloud-EdgeCom49738.2020.00039
Parul Goyal, Ashok Kumar Sahoo, Tarun Kumar Sharma , Pramod K. Singh,Internet of Things: Applications, security and privacy: A survey,2020, Elsevier. https://doi.org/10.1016/j.matpr.2020.04.737
MAHMOUD A. ALBREEM, ABDUL MANAN SHEIKH, MOHAMMED H.ALSHARIF, MUZAMMIL JUSOH, AND MOHD NAJIB MOHD YASIN, Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges,2021,IEEE. https://doi.org/10.1109/ACCESS.2021.3061697
Abdulaziz Alarifi, Kalka Dubey, Mohammed Amoon, Torki Altameem, Fathi E. Abd El-Samie, Ayman Altameem, S. C. Sharma , Aida A. Nasr Energy-Efficient Hybrid Framework for Green Cloud Computing,2020, IEEE. https://doi.org/10.1109/ACCESS.2020.3002184
Arshad, Rushan, et al. "Green IoT: An investigation on energy saving practices for 2020 and beyond." IEEE Access 5 (2017): 15667-15681 https://doi.org/10.1109/ACCESS.2017.2686092
Chiang, Mung, and Tao Zhang. "Fog and IoT: An overview of research opportunities." IEEE Internet of Things Journal 3.6 (2016): 854-86. https://doi.org/10.1109/JIOT.2016.2584538
Keshav Sood, Shui Yu, Dinh Duc Nha Nguyen, Yong Xiang, Bohao Feng, and Xiaoning Zhang, A Tutorial on Next Generation Heterogeneous IoT Networks and Node Authentication: EEE Internet of Things Magazine • December 2021.
Qing Yang, Hao Wang, Xiaoxiao Wu, Taotao Wang, Shengli Zhang, and Naijin Liu ,Secure Blockchain Platform for Industrial IoT with Trusted Computing Hardware: IEEE Internet of Things Magazine • December 2021. https://doi.org/10.1109/IOTM.001.2100043
Aishwarya Shekhar, A Very Robust Dedicated and Verified Technique by Applying the Hybridity of Cloud for Deduplication of Data: IJTRE,2016.
Bedi, Guneet, et al. "Review of Internet of Things (IoT) in electric power and energy systems." IEEE Internet of Things Journal 5.2 (2018): 847-870. https://doi.org/10.1109/JIOT.2018.2802704
Albreem, Mahmoud AM, et al. "Green internet of things (IoT): An overview." 2017 IEEE 4th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA). IEEE, 2017. https://doi.org/10.1109/ICSIMA.2017.8312021
Tahiliani, Vinita, and Mavuri Dizalwar. "Green iot systems: An energy efficient perspective." 2018 Eleventh International Conference on Contemporary Computing (IC3). IEEE, 2018. https://doi.org/10.1109/IC3.2018.8530550
Ning, Zhaolong, et al. "Green and sustainable cloud of things: Enabling collaborative edge computing." IEEE Communications Magazine 57.1 (2018): 72-78. https://doi.org/10.1109/MCOM.2018.1700895
Guo, Mian, Lei Li, and Quansheng Guan. "Energy-Efficient and DelayGuaranteed Workload Allocation in IoT-Edge-Cloud Computing Systems." IEEE Access 7 (2019): 78685-78697. https://doi.org/10.1109/ACCESS.2019.2922992
Tao, Fei, et al. "CCIoT-CMfg: cloud computing and internet of thingsbased cloud manufacturing service system." IEEE Transactions on Industrial Informatics 10.2 (2014): 1435-1442. https://doi.org/10.1109/TII.2014.2306383
Aishwarya Shekhar, Improving Energy Efficiency in Green Cloud Computing Through IoT networks, IJTRE, 2023.
Mandavi, Dr. A. (2022). Impact of Multilingual Communication and Educational Status of Gond Tribes with Special Reference to Narayanpur District of Bastar (C.G). In Indian Journal of Mass Communication and Journalism (Vol. 2, Issue 2, pp. 1–3). https://doi.org/10.54105/ijmcj.b1022.122222
Priyanka, R., & Reji, M. (2019). IOT Based Health Monitoring System Using Blynk App. In International Journal of Engineering and Advanced Technology (Vol. 8, Issue 6, pp. 78–81). https://doi.org/10.35940/ijeat.e7467.088619
Handoko, B. L., Mulyawan, A. N., Tanuwijaya, J., & Tanciady, F. (2020). Big Data in Auditing for the Future of Data Driven Fraud Detection. In International Journal of Innovative Technology and Exploring Engineering (Vol. 9, Issue 3, pp. 2902–2907). https://doi.org/10.35940/ijitee.b7568.019320
Tara, A. N., & Zhang, Y. (2023). Exploring The Relationship Between Gender Discrimination and Job Satisfaction: A Perceived Discrimination Perspective. In Indian Journal of Management and Language (Vol. 3, Issue 2, pp. 1–6). https://doi.org/10.54105/ijml.b1655.103223
(Mukherjee), D. B., & Pan, Dr. U. (2023). Empowerment of Rural and Urban Women in West Bengal A Case Study in Birbhum District. In International Journal of Management and Humanities (Vol. 10, Issue 4, pp. 1–5). https://doi.org/10.35940/ijmh.d1673.1210423