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
Author: Pradeep Kumar Singh
language: en
Publisher: Springer Nature
Release Date: 2020-02-08
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
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
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.