IoT and Smart Devices for Sustainable Environment (eBook, PDF)

Redaktion: Azrour, Mourade; Chaganti, Rajasekhar; Irshad, Azeem

• Format: PDF

Produktbeschreibung

This book presents research related to smart devices and Internet of Things (IoT) that are intended to advance environmental sustainability. With sustainability as the focus, the topics covered include designing and controlling of smart systems, networking and machine learning, monitoring and controlling the environment, smart metering, authentication and authorization, and software and systems solution. The authors discuss how IoT can aid in sustainability through its implementation of systems interconnecting several objects, whether in the physical or in the virtual worlds. The chapters also present several applications including in smart homes, transportation, and healthcare. The book pertains to researchers, academics, and professionals.

• ¿Presents recent research on how smart devices and IoT are aiding in environmental sustainability in various industries;
• Provides application examples of IoT used in healthcare, air quality monitoring, wastewater treatment, andfarming;
• Addressed to researchers, academics, students and professionals working in IoT and sustainability.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 187
• Erscheinungstermin: 2. Februar 2022
• Englisch
• ISBN-13: 9783030900830
• Artikelnr.: 63387641

Autorenporträt

Mourade Azrour received his PhD from Faculty of sciences and Techniques, Moulay Ismail University, Errachidia, Morocco. He received his MS in computer and distributed systems from Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2014. Mourade currently works as computer sciences professor at the Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University. His research interests include Authentication protocol, Computer Security, Internet of things, Smart systems. Mourade is scientific committee member of numerous international conferences. He is also a reviewer of various scientific journals such as International Journal of Cloud Computing and International Journal of Cyber-Security and Digital Forensics (IJCSDF).   Azeem Irshad received master's degree from Arid Agriculture University, Rawalpindi, Pakistan. Then he completed his PhD from International Islamic University, Islamabad, Pakistan. He has authored more than 64 international journal and conference publications, including 33 SCI-E journal publications. His research work has been cited over 646 times with 12h-index and 14 i-10-index. He received Top Peer-Reviewer Award from Publons in 2018 with 126 verified reviews. He has served as a reviewer for more than 40 reputed journals including IEEE Systems Journal, IEEE Communications Magazine, IEEE TII, IEEE Consumer Electronics Magazine, IEEE Sensors Journal, IEEE TVT, IEEE IAS, Computer Networks, Information Sciences, CAEE, Cluster Computing, AIHC, JNCA and FGCS, notably. His research interests include strengthening of authenticated key agreements in Cloud-IoT, smart grid, pervasive edge computing, CPS, 5G networks, WSN, Ad hoc Networks, e-health clouds, SIP and multi-server architectures. Rajasekhar Chaganti worked as a security engineer  at Expediagroup Inc in security incident and response team. Currently, he is actively involved in security research and working towards PhD degreefrom the University of Cumberlands. Prior to joining Expedia, He served as a security analyst in procore technologies and possess knowledge on SIEM, vulnerability management, DNS, and endpoint security. He is holding the industry certifications such as AWS Solution Architect, Certified Ethical Hacker, and CCNA cyberops covering various aspects of security. He was a research assistant at UTSA performing software-defined networking security research and received MS in computer science focusing on computer and Information security from UTSA in 2018. His research interests are in machine learning/AI for security applications, network security, threat detection in IoT, cloud and blockchain environments and social engineering scams. Prior to joining UTSA, he worked as a patent research analyst for Stellarix consulting services in Jaipur, India.  He performed patent research related to patent novelty, invalidation, and landscape projects in electronics and computer science domain focusing on cybersecurity, machine learning, IOT security and cloud computing. He has been a reviewer for IEEE Access, Information and computer security, springer cybersecurity Journal, wireless communications and mobile computing, journal of cybersecurity and mobility, cybersecurity skills journal and volunteered for organizing cybersecurity symposium for smart cities and other security initiatives.     

Inhaltsangabe

Chapter 1. Detection of some Water Elements Based on IoT: Review Study.- Chapter 2. Simulation of the Treatment Performance of a Purification Plant for a Dairy Effluent.- Chapter 3. Study of piroxicam removal from wastewater by artichoke waste using NemrodW® software: Statistical analysis.- Chapter 4. Theoretical Study of Thermoelectric Transport Properties of Dicalcium Silicide and Dicalcium Germanide Compounds.- Chapter 5. Modelling and design of water treatment processes by biosorption method Using JMP®11 software.- Chapter 6. Mathematical and statistical study for the wastewater adsorbent regeneration using the central composite design.- Chapter 7. Application of artificial neural network modeling for the forecast of Tidili wastewater treatment plant performance.- Chapter 8. Scheme for adapted speed in a road bend situation in VANET environment.- Chapter 9. IoT and Reality Mining for Real-Time Diseases Prediction.- Chapter 10. Smart system for Monitoring and controlling of agricultural production by the IoT.- Chapter 11. Simulation of groundwater quality: Case study of the limestone chain of the Western Rif of Morocco.- Chapter 12. A Novel Anomaly Network Intrusion Detection System for Internet of Things Security.- Chapter 13. Precision agriculture: assessing water status in plants using Unmanned Aerial Vehicle.- Chapter 14. Smart Healthcare Using Evolutionary Algorithm.