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Energy-aware resource scheduling in FoG environment for IoT-based applications.- DoSP: A Deadline-Aware Dynamic Service Placement Algorithm for Workflow-oriented IoT Applications in Fog-Cloud Computing Environments.- Improvement of Task Offloading for Latency Sensitive Tasks in Fog Environment.- A Sustainable Energy Efficient IoT-Based Solution for Real Time Traffic Assistance using Fog Computing.- Analysis on Application of Fog Computing in Industry 4.0 and Smart Cities.- Fog-Computing: A Novel Approach For Cloud-based devices Using Perceptual Cloning Manifestation-PERCOLNIF Taxonomy by Energy Optimization.- Performance Evaluation and Energy Efficient VM Placement for Fog assisted IoT Environment.- Load Balancing in Fog Computing using QoS.- Fog Computing in Industry 4.0: Applications and Challenges – A Research Roadmap.- Fog Computing based Architecture for Smart City Projects and Applications.- Integration of Fog Computing and IoT Based Energy Harvesting (EHIoT) Model for Wireless Sensor Network.- Design and Development of Efficient Secure Routing Mechanism For Wireless Sensor Network.- Futuristic Communication Systems using Mobile Edge Computing.- Methodology to ensure the continuity of the information systems service, based on the monitoring of electrical energy, using IOT technology.

Dr. Rajeev Tiwari&nbsp;is working as the sr. associate professor in SCS in UPES, Dehradun (India). He is a senior IEEE member. He has done Ph.D. in CSE from Thapar University, Patiala (Punjab). He has more than 16 years of research and teaching experience. His broad areas of research are cloud computing, MANET, VANET, QoS in wireless networks, cache invalidation techniques, Internet of Things (IoT), big data analytics, and machine learning. He is an expert in the simulation and design of scenarios on NS2, SUMO, and MOVE. He is an active member of ACM, IEI, IACSIT, and IAENG. He has 50+ international publications in SCI and Scopus indexed journals and conferences. His publications are majorly indexed in SCI, Scopus, and DBLP. He has published national and international patents also. He has enriched the experience of organizing international conferences successfully. He has major roles as organizing chair, TPC chair, co-chair secretory, etc., in NGCT 2016, NGCT 2017, NGCT 2018, NGCT 2019, ICACCA 2019, IC4S 2019, etc., with Springer and IEEE. He has chaired many sessions in international conferences. He is a lead reviewer in SCI indexed journals of Springer, IEEE, and ScienceDirect and international conferences. He has edited books and published book chapters also with international publishers. He has contributions in funded projects in the field of IoT, cloud and wireless network, FoG/edge computing systems and their QoS.<div><br></div><div>Mamta Mittal is working in the Computer Science and Engineering Department at G. B. Pant Government Engineering College, Okhla, New Delhi (under Government of NCT Delhi). She earned Ph.D. in Computer Science and Engineering from Thapar University, Patiala; M.Tech. (Honors) in Computer Science and Engineering from YMCA, Faridabad, and B.Tech. in Computer Science and Engineering from Kurukshetra University, Kurukshetra, in 2001. She has been teaching from the last 18 years with emphasis on data mining, machine learning, soft computing and data structure. Dr. Mittal is a lifetime member of CSI and published and communicated more than 90 research papers in SCI, SCIE, and Scopus indexed journals. She holds five patents and two copyrights granted and three patents published in the areas of artificial intelligence, IoT, and deep&nbsp;learning. Dr. Mittal has edited/authored many books with reputed publishers like Springer, IOS Press, Elsevier, and CRC Press and working on DST approved Project “Development of IoT based hybrid navigation module for mid-sized autonomous vehicles” with research grant of 25 Lakhs. Currently, she is guiding Ph.D. scholars in machine learning, computer vision and deep learning areas. Dr. Mittal is the editorial board member with InderScience, Bentham Science, Springer, and Elsevier,&nbsp;handled special issues and has chaired a number of conferences. She is the book series editor of Health Informatics and Health care, using AI and smart computing and another series edge AI in future computingwith CRC Press, Taylor & Francis, USA.</div><div><br></div>Dr. Lalit Mohan Goyal has completed Ph.D. from Jamia Millia Islamia, New Delhi, in Computer Engineering, M.Tech. (Honors) in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi, and B.Tech. (Honors) in Computer Engineering from Kurukshetra University, Kurukshetra. He has 17 years of teaching experience in the areas of theory of computation, parallel and random algorithms, distributed data mining, and cloud computing. He has completed a project sponsored by the Indian Council of Medical Research, Delhi. He has published many research papers in SCI indexed and Scopus indexed journals and conferences. Two patents filed by him are also now published online. He is a reviewer of many reputed journals and conferences. He has given many invited talks in FDP and conferences. Presently, he is working at J. C. Bose University of Science and Technology, YMCA, Faridabad, in the Department of Computer Engineering.

This book focuses on energy efficiency concerns in fog–edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations’ journey to conserve energy in fog–edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.

Discusses energy efficiency concerns in fog–edge computing Is useful for computing engineers and scientists working on big data and IoT technologies Serves as a reference for researchers and practitioners in academia and industry