Energy Harvesting in Wireless Sensor Networks and Internet of Things

• Autore: Shaikh Faisal Karim
• Pubblicazione: Stevenage : , : Institution of Engineering & Technology, , 2022; ©2022
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (349 pages)
• Disciplina: 621.042
• Soggetto topico: Wireless sensor networks - Power supply; Internet of things; Energy harvesting; Wireless sensor networks
• Altri autori: ZeadallySherali
• Nota di contenuto: Intro -- Contents -- About the editors -- Preface -- Part I: Energy harvesting from ambient environments -- 1. Thermal energy harvesting for wireless sensor networks | Sahar Ahmadzadeh -- 1.1 Introduction -- 1.2 Thermal energy harvesting in WSNs: motivation and application scenarios -- 1.3 Energy harvesting techniques in WSNs -- 1.4 Application of thermal energy harvesting in smart cities -- 1.5 Challenges and issues in WSNs -- 1.6 Conclusion -- List of acronyms -- References -- 2. Auxetic designs to improve ambient strain energy harvesting for WSN/IoT | William J.G. Ferguson -- 2.1 Introduction -- 2.2 Review of related works -- 2.3 Auxetic region design and testing -- 2.4 Model commonalities -- 2.5 Re-entrant honeycomb array -- 2.6 For rotating parallelograms -- 2.7 Rotating hexagrams -- 2.8 Rotating triangles -- 2.9 Modelling conclusion -- 2.10 Experimental method -- 2.11 Experimental results and discussion -- 2.12 Future challenges and research opportunities -- 2.13 Conclusion -- List of acronyms -- References -- 3. Energy harvesting from human body | Mostafa G. Abdelmageed and Ahmed M.R. Fath El-Bab -- 3.1 Current trends and challenges in the area -- 3.2 Review of related works and possible solutions -- 3.3 Proposed solutions -- 3.4 Future challenges and research opportunities -- 3.5 Conclusion -- List of acronyms -- References -- Part II: RF energy harvesting -- 4. Cognitive and energy harvesting-based D2D communication in wireless multimedia sensor networks underlying multi-tier cellular networks | Fereidoun H. Panahi and Farzad H. Panahi -- 4.1 Motivations -- 4.2 Introduction -- 4.3 Green wireless sensor network -- 4.4 EH-aided cognitive D2D-enabled WMSN based on HetNets -- 4.5 Future challenges and research opportunities -- 4.6 Conclusion -- List of acronyms -- References. ; 5. A systematic study on the metamaterial microstrip antenna design for self-powered wireless systems | Taha A. Elwi -- 5.1 Introduction -- 5.2 Motivation and objectives -- 5.3 Recent related previous approaches -- 5.4 Antenna geometry -- 5.5 Performance characterization -- 5.6 Design methodology -- 5.7 Printing process -- 5.8 Antenna performance characterization -- 5.9 Antenna integration on a flexible solar panel -- 5.10 RF energy harvesting measurements -- 5.11 Conclusion -- List of acronyms -- References -- 6. On the trade-off of RF energy harvesting and transmission intervals in cognitive IoT network using fuzzy logic | Najam Ul Hasan, Prajoona Valsalan and Waleed Ejaz -- 6.1 Introduction -- 6.2 Related work -- 6.3 System model and problem form Ulation -- 6.4 Proposed solution -- 6.5 Simulation results -- 6.6 Conclusion -- References -- Part III: Emerging trends in energy harvesting -- 7. UAV-assisted energy harvesting for WSNs/IoT networks | Madiha Amjad, Maham Waheed, Syed Ali Hassan and Hassaan Khaliq Qureshi -- 7.1 Introduction -- 7.2 System model of UAV-assisted WSNs/IoT networks -- 7.3 Impact of UAV trajectory on EH -- 7.4 Impact of association on EH -- 7.5 Impact of resource allocation on EH -- 7.6 Conclusion -- List of acronyms -- References -- 8. A review on resonant beam communication with simultaneous wireless data transmission and energy harvesting techniques | Ehab Ali, Abdelhamid Younis and Raed Mesleh -- 8.1 Motivations and applications -- 8.2 Introduction -- 8.3 Literature review -- 8.4 System model -- 8.5 Open research issues and opportunities -- 8.6 Conclusion -- List of acronyms -- References -- 9. Simultaneous wireless information and power transfer in Internet of Things | Faisal Karim Shaikh, Mohsin Memon and Sherali Zeadally -- 9.1 Introduction -- 9.2 Simultaneous wireless information and power transfer. ; 9.3 SWIPT-enabled Internet of Things -- 9.4 Future research challenges for SWIPT in Internet of Things -- 9.5 Conclusion -- List of acronyms -- References -- 10. Energy-efficient computing for future IoT applications | Muhammad Wasif Shabir, Muhammad Inyat Ullah Imran, Hira Tariq, Umar Farooq and Muhammad Awais Javed -- 10.1 Introduction -- 10.2 Recent work related to energy-efficient computing in IoT -- 10.3 Future opportunities and challenges -- 10.4 Conclusion -- List of acronyms -- References -- 11. Intelligent MapReduce technique for energy harvesting through IoT devices | Nawab Muhammad Faseeh Qureshi, Isma Farah Siddiqui, Bhawani Shankar Chowdhry and Dong Ryeol Shin -- 11.1 Introduction -- 11.2 Motivation -- 11.3 MapReduce-based energy harvesting through an IoT device -- 11.4 How much IoT devices' harvest energy -- 11.5 Conclusion -- List of acronyms -- References -- Part IV: Security and energy harvesting -- 12. Hide-and-detect: forwarding misbehaviors, attacks, and countermeasures in energy harvesting-motivated networks | Sunho Lim, Cong Pu, Jinseok Chae, Manki Min and Yi Liu -- 12.1 Introduction -- 12.2 Background and related work -- 12.3 System and adversarial models -- 12.4 Energy harvesting-motivated adversarial scenarios and attacks -- 12.5 Comparison and analysis of detection strategies -- 12.6 Discussion and future research directions -- 12.7 Conclusion -- List of acronyms -- References -- Index.
• Sommario/riassunto: The energy efficiency paradigm is a major bottleneck for the development of wireless sensor networks (WSNs) and Internet of Things (IoT) architectures and technologies. This edited book presents comprehensive coverage of energy harvesting sources and techniques that can be used for WSN and IoT systems.
• Titolo autorizzato: Energy Harvesting in Wireless Sensor Networks and Internet of Things
• ISBN: 1-83724-547-9; 1-5231-4244-8; 1-78561-737-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911007059403321
• Lo trovi qui: Univ. Federico II
• Serie: Control, Robotics and Sensors