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Handbook Of Wireless Sensor Networks Issues And Challenges In Current Scenario S


Handbook Of Wireless Sensor Networks Issues And Challenges In Current Scenario S
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Handbook Of Wireless Sensor Networks Issues And Challenges In Current Scenario S


Handbook Of Wireless Sensor Networks Issues And Challenges In Current Scenario S
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Author : Pradeep Kumar Singh
language : en
Publisher: Springer Nature
Release Date : 2020-02-08

Handbook Of Wireless Sensor Networks Issues And Challenges In Current Scenario S written by Pradeep Kumar Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-08 with Technology & Engineering categories.


This book explores various challenging problems and applications areas of wireless sensor networks (WSNs), and identifies the current issues and future research challenges. Discussing the latest developments and advances, it covers all aspects of in WSNs, from architecture to protocols design, and from algorithm development to synchronization issues. As such the book is an essential reference resource for undergraduate and postgraduate students as well as scholars and academics working in the field.



Security And Privacy Issues For Iot And Wsn Based Real Time Applications


Security And Privacy Issues For Iot And Wsn Based Real Time Applications
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Author : Manoj Tolani
language : en
Publisher: CRC Press
Release Date : 2025-06-16

Security And Privacy Issues For Iot And Wsn Based Real Time Applications written by Manoj Tolani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Computers categories.


This book explores the security and privacy challenges associated with real-time applications of the Internet of Things (IoT) and wireless sensor networks (WSN) technologies. It provides detailed insights into the unique security and privacy concerns, such as malicious attacks, data breaches, insider threats, and privacy breaches, that arise in the context of real-time applications, like in smart homes, smart cities, industrial automation, healthcare, and other time-sensitive domains to offer practical solutions and strategies to mitigate these risks. Covers various aspects of security and privacy, including authentication, access control, data integrity, confidentiality, availability, threat detection and mitigation, privacy-preserving techniques Investigates the possibilities of cross-layer approaches to address the specific requirements of real-time applications and develop innovative solutions Gaining insights into fundamental limits through information-theoretic research, new protocol designs are developed to access the medium in an energy-efficient manner to improve the performance and reliability of WSN and IoT networks for real-time applications Discusses the sustainable requirements of emerging real-time applications, such as low energy consumption and high data rates Offers an interdisciplinary approach that encompasses areas of communication, networking, and information theory to guide real-life deployment of IoT/ WSN-based monitoring systems It is a valuable reference for readers who want to gain a deeper understanding of the challenges and solutions related to the security and privacy of IoT and WSN in the context of real-time applications.



Deep Learning Strategies For Security Enhancement In Wireless Sensor Networks


Deep Learning Strategies For Security Enhancement In Wireless Sensor Networks
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Author : Sagayam, K. Martin
language : en
Publisher: IGI Global
Release Date : 2020-06-12

Deep Learning Strategies For Security Enhancement In Wireless Sensor Networks written by Sagayam, K. Martin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-12 with Computers categories.


Wireless sensor networks have gained significant attention industrially and academically due to their wide range of uses in various fields. Because of their vast amount of applications, wireless sensor networks are vulnerable to a variety of security attacks. The protection of wireless sensor networks remains a challenge due to their resource-constrained nature, which is why researchers have begun applying several branches of artificial intelligence to advance the security of these networks. Research is needed on the development of security practices in wireless sensor networks by using smart technologies. Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks provides emerging research exploring the theoretical and practical advancements of security protocols in wireless sensor networks using artificial intelligence-based techniques. Featuring coverage on a broad range of topics such as clustering protocols, intrusion detection, and energy harvesting, this book is ideally designed for researchers, developers, IT professionals, educators, policymakers, practitioners, scientists, theorists, engineers, academicians, and students seeking current research on integrating intelligent techniques into sensor networks for more reliable security practices.



Cloud Computing Enabled Big Data Analytics In Wireless Ad Hoc Networks


Cloud Computing Enabled Big Data Analytics In Wireless Ad Hoc Networks
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Author : Sanjoy Das
language : en
Publisher: CRC Press
Release Date : 2022-03-21

Cloud Computing Enabled Big Data Analytics In Wireless Ad Hoc Networks written by Sanjoy Das and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-21 with Technology & Engineering categories.


This book discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna. FEATURES Covers applications of IoT in Vehicular Ad-hoc Networks (VANETs) Discusses use of machine learning and other computing techniques for enhancing performance of networks Explains game theory-based vertical handoffs in heterogeneous wireless networks Examines monitoring and surveillance of vehicles through the vehicular sensor network Investigates theoretical approaches on software-defined VANET The book is aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.



Emerging Technologies In Data Mining And Information Security


Emerging Technologies In Data Mining And Information Security
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Author : Paramartha Dutta
language : en
Publisher: Springer Nature
Release Date : 2022-09-15

Emerging Technologies In Data Mining And Information Security written by Paramartha Dutta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-15 with Technology & Engineering categories.


This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during 23–25 February 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.



Empowering Iot Reliability Network Management Sensing And Probabilistic Charging In Wireless Sensor Networks


Empowering Iot Reliability Network Management Sensing And Probabilistic Charging In Wireless Sensor Networks
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Author : Muhammad Umar Farooq Qaisar
language : en
Publisher: Springer Nature
Release Date : 2025-08-23

Empowering Iot Reliability Network Management Sensing And Probabilistic Charging In Wireless Sensor Networks written by Muhammad Umar Farooq Qaisar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-23 with Computers categories.


This book provides a comprehensive exploration of both fundamental principles and practical engineering techniques. It places a strong emphasis on several key areas, including load balancing for IoT sensor devices through effective network management to ensure robust communication reliability among these sensor devices. It also delves into the intricacies of efficient charging scheduling for sensor devices, using probabilistic approaches and integrated sensing and communication technologies to enhance network optimization. Central to the book's goals is its comprehensive and systematic treatment of practical challenges in IoT network optimization. This focus makes it particularly suitable for readers seeking practical solutions in this area. The book's target audience includes researchers, engineers, graduate students, and IoT industry professionals interested in areas such as reliability improvement, load balancing, charging scheduling, and network management. By providing both theoretical foundations and practical insights, this book serves as a valuable resource for those seeking to navigate the complexities of IoT network optimization.



Recent Innovations In Computing


Recent Innovations In Computing
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Author : Pradeep Kumar Singh
language : en
Publisher: Springer Nature
Release Date : 2021-01-12

Recent Innovations In Computing written by Pradeep Kumar Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-12 with Technology & Engineering categories.


This book features selected papers presented at the 3rd International Conference on Recent Innovations in Computing (ICRIC 2020), held on 20–21 March 2020 at the Central University of Jammu, India, and organized by the university’s Department of Computer Science & Information Technology. It includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.



Intelligent Data Analytics For Terror Threat Prediction


Intelligent Data Analytics For Terror Threat Prediction
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Author : Subhendu Kumar Pani
language : en
Publisher: John Wiley & Sons
Release Date : 2021-01-12

Intelligent Data Analytics For Terror Threat Prediction written by Subhendu Kumar Pani and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-12 with Computers categories.


Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and computer science, bringing with it a new era of tremendous opportunities and challenges due to plenty of easily available criminal data for further analysis. This book provides innovative insights that will help obtain interventions to undertake emerging dynamic scenarios of criminal activities. Furthermore, it presents emerging issues, challenges and management strategies in public safety and crime control development across various domains. The book will play a vital role in improvising human life to a great extent. Researchers and practitioners working in the fields of data mining, machine learning and artificial intelligence will greatly benefit from this book, which will be a good addition to the state-of-the-art approaches collected for intelligent data analytics. It will also be very beneficial for those who are new to the field and need to quickly become acquainted with the best performing methods. With this book they will be able to compare different approaches and carry forward their research in the most important areas of this field, which has a direct impact on the betterment of human life by maintaining the security of our society. No other book is currently on the market which provides such a good collection of state-of-the-art methods for intelligent data analytics-based models for terror threat prediction, as intelligent data analytics is a newly emerging field and research in data mining and machine learning is still in the early stage of development.



6g Communications Networking And Signal Processing


6g Communications Networking And Signal Processing
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Author : Terence Kin Shun Wong
language : en
Publisher: Springer Nature
Release Date : 2025-02-13

6g Communications Networking And Signal Processing written by Terence Kin Shun Wong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Technology & Engineering categories.


This book includes peer-reviewed papers of the International Conference on 6G Communications Networking and Signal Processing-SGCNSP 2023. This book focuses on conceptual frameworks that help understand the basics of electronics, electrical, and communication. It also provides an overview of the upcoming advanced technologies supporting 6G signal processing, communication systems and networks, mobile and wireless networks, and RF and optical communication. This book is useful for undergraduate and postgraduate students and research scholars.



Sustainable Smart Cities


Sustainable Smart Cities
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Author : Pradeep Kumar Singh
language : en
Publisher: Springer Nature
Release Date : 2022-11-02

Sustainable Smart Cities written by Pradeep Kumar Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-02 with Technology & Engineering categories.


This book brings the recent collection of smart technologies. Smart cities challenges and key requirements are discussed through the technological solutions, IoT, cloud computing, block chain and artificial intelligence. Firstly, the key technologies contributing to the smart cities research are identified. Then, the most popular ones are covered in context to their theoretical and practical applications. Smart cities technologies are one of the recent research areas. Every day new technological solutions are coming to make smart cities more sustainable. The book explores the integration of main key technologies for smart cities which are IoT & cloud computing, data science, AI and block chain & Industry 4.0. Moreover, some integrated solutions using AI, data science and IoT will attract the attention of end users. Primary market of the book is aimed toward the undergraduate and master students. IoT, cloud computing, artificial intelligence and block chain are elective courses at the bachelor level in the engineering domain, and its application areas in context to smart cities are covered in this book. The book is a good source of reference for their master dissertations. Ph.D. students or scholars who are working on these key technologies like IoT & cloud, AI, data science, block chain & Industry 4.0 will find this book as a constant source of reference for their ongoing research. Smart city planners, architects and municipal experts may also find this book useful.