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This Springer Brief introduces wireless sensor networks (WSNs) and the need for resilient WSN operations in application domains. It presents traditional approaches of providing resilient operation of WSNs to ensure continuity of data delivery even when some network sensors fail. The pros and cons of each these approaches are discussed. Also included is an overview of network coding basics, and motivate the use of network coding-based protection in order to combine the advantages, but avoid the disadvantages of the traditional approaches. The authors cover the design and analysis of a centralized approach to network coding-based protection of WSNs. The coverage also includes practical and realistic network situations, and the coding strategies employed. Next discussed is how to recover from data losses using a distributed approach, which is more practical for large scale WSNs. Algorithms for scheduling of transmissions while implementing network coding-based in the two cases of using digital network coding, and analog network coding are covered. Resilient Wireless Sensor Networks includes a concise, but an in-depth coverage of the use of network coding to implement agile and resource efficient protection in WSNs. It will be of interest to professionals and researchers working in the areas of fault tolerance, network coding, and deployment of WSNs in harsh environment. Advanced-level students in electrical engineering and computer science will also find this research valuable as a reference.
We are rapidly heading towards a world in which the computing infrastructure will contain billions of devices, which will interact with other computing/communications devices that are carried or worn by users as they go through their daily routines. Such devices will provide data access to mobile users as they move within buildings, cities, or across the globe. This new infrastructure presents tremendous challenges for data management technology, including: huge scale; variable and intermittent connectivity; location and context-aware applications; bandwidth, power, and devi- size limitations; and multimedia data delivery across hybrid networks and systems. Traditional data management technologies such as query processing, transaction management, workflow, business process management, and metadata management must all be reevaluated in this emerging environment. Furthermore, nontraditional issues such as the semantics of mobile data, location-dependent querying, broadcast and multicast delivery, and caching/prefetching techniques must all be addressed. The ability to track people as they move about their daily tasks raises serious issues of security and privacy. This conference is the fourth in the Mobile Data Management series, focusing on the challenges and opportunities for the management of data in mobile, pervasive, and wearable computing. MDM 2000 and 2001 were in Hong Kong and MDM 2002 was in Singapore. Eighty-seven papers were submitted to the conference from 23 countries and were subject to a rigorous review procedure. Every paper had three or four independent reviews. Twenty-one full papers and 15 short papers from both academia and industry were selected for publication in this volume of proceedings.
Industrial Wireless Sensor Networks: Monitoring, Control and Automation explores the explosive growth that has occurred in the use of wireless sensor networks in a variety of applications during the last few years. As wireless technology can reduce costs, increase productivity, and ease maintenance, the book looks at the progress in standardization efforts regarding reliability, security, performance, power consumption, and integration. Early sections of the book discuss issues such as media access control (MAC), antenna design and site survey, energy harvesting, and explosion-proof design. Subsequent sections present WSN standards, including ISA100, ZigBeeT, WifiT, WirelessHARTT and 6loWPAN, and the applications of WSNs in the oil and gas, chemical, food, and nuclear power industries.
This book features various, ultra low energy, variability resilient SRAM circuit design techniques for wireless sensor network applications. Conventional SRAM design targets area efficiency and high performance at the increased cost of energy consumption, making it unsuitable for computation-intensive sensor node applications. This book, therefore, guides the reader through different techniques at the circuit level for reducing energy consumption and increasing the variability resilience. It includes a detailed review of the most efficient circuit design techniques and trade-offs, introduces new memory architecture techniques, sense amplifier circuits and voltage optimization methods for reducing the impact of variability for the advanced technology nodes.
This Springer Brief introduces wireless sensor networks (WSNs) and the need for resilient WSN operations in application domains. It presents traditional approaches of providing resilient operation of WSNs to ensure continuity of data delivery even when some network sensors fail. The pros and cons of each these approaches are discussed. Also included is an overview of network coding basics, and motivate the use of network coding-based protection in order to combine the advantages, but avoid the disadvantages of the traditional approaches. The authors cover the design and analysis of a centralized approach to network coding-based protection of WSNs. The coverage also includes practical and realistic network situations, and the coding strategies employed. Next discussed is how to recover from data losses using a distributed approach, which is more practical for large scale WSNs. Algorithms for scheduling of transmissions while implementing network coding-based in the two cases of using digital network coding, and analog network coding are covered. Resilient Wireless Sensor Networks includes a concise, but an in-depth coverage of the use of network coding to implement agile and resource efficient protection in WSNs. It will be of interest to professionals and researchers working in the areas of fault tolerance, network coding, and deployment of WSNs in harsh environment. Advanced-level students in electrical engineering and computer science will also find this research valuable as a reference.
This book discusses fundamental security issues in wireless sensor networks, techniques for the protection of such networks, as well as results from recent studies in wireless sensor network security. It contains example applications for target tracking, scientific exploration and data acquisition in hazardous environments, and includes a fairly new study on capabilities of mu-TESLA, a broadcast authentication technique for wireless sensor networks. The book assists both professionals and students to understand background knowledge in wireless sensor network security and prepare them for producing research in this domain.
This book presents the latest research results in the area of secure localization for both wireless mobile ad hoc networks and wireless sensor networks. It is suitable as a text for computer science courses in wireless systems and security. It includes implementation studies with mica2 mote sensors. Due to the open spectrum nature of wireless communication, it is subject to attacks and intrusions. Hence the wireless network synchronization needs to be both robust and secure. Furthermore, issues such as energy constraints and mobility make the localization process even more challenging. The book will also interest developers of secure wireless systems.
The Internet of Things is a technological revolution that represents the future of computing and communications. Even though efforts have been made to standardize Internet of Things devices and how they communicate with the web, a uniform architecture is not followed. This inconsistency directly impacts and limits security standards that need to be put in place to secure the data being exchanged across networks. Cryptographic Security Solutions for the Internet of Things is an essential reference source that discusses novel designs and recent developments in cryptographic security control procedures to improve the efficiency of existing security mechanisms that can help in securing sensors, devices, networks, communication, and data in the Internet of Things. With discussions on cryptographic algorithms, encryption techniques, and authentication procedures, this book is ideally designed for managers, IT consultants, startup companies, ICT procurement managers, systems and network integrators, infrastructure service providers, students, researchers, and academic professionals.
This book aims to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of broadband and wireless computing. Information networks of today are going through a rapid evolution. Different kinds of networks with different characteristics are emerging, and they are integrating in heterogeneous networks. For these reasons, there are many interconnection problems which may occur at different levels of the hardware and software design of communicating entities and communication networks. These kinds of networks need to manage an increasing usage demand, provide support for a significant number of services, guarantee their QoS, and optimize the network resources. The success of all-IP networking and wireless technology has changed the ways of living the people around the world. The progress of electronic integration and wireless communications is going to pave the way to offer people the access to the wireless networks on the fly, based on which all electronic devices will be able to exchange the information with each other in ubiquitous way whenever necessary.
This is a book written by leading experts in the fields of cyber-physical systems (CPS) and wireless sensor networks (WSN). This book describes how wireless sensor networking technologies can help in establishing and maintaining seamless communications between the physical and cyber systems to enable efficient, secure, reliable acquisition, management, and routing of data. Topics covered include: an introduction to WSN and CPS; integration issues and challenges between WSN and CPS; enabling CPS design architectures with WSN technologies; cyber security in CPS; data management in CPS with WSN; routing in WSN for CPS; resource management in CPS; mobile sensors in CPS; intelligent WSN in CPS; resilient WSN for CPS; case studies of integrated WSN and CPS; and medical CPS. All chapters of the book have been rigorously peer-reviewed. Cyber-Physical System Design with Sensor Networking Technologies is essential reading for researchers, advanced students and developers working in the areas of cyber-physical systems and sensor networks.