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Author: S.S. Iyengar
Publisher: Springer Science & Business Media
Published: 2006-04-19
Total Pages: 204
ISBN-13: 1846282136
DOWNLOAD EBOOKThis is the only book to cover infrastructure aspects of sensor networks in a comprehensive fashion. The only other books on sensor networks do not cover this topic or do so only superficially as part of a less-focussed multi-authored treatment.
Author: S.S. Iyengar
Publisher: Springer
Published: 2009-10-12
Total Pages: 194
ISBN-13: 9781848008540
DOWNLOAD EBOOKThis is the only book to cover infrastructure aspects of sensor networks in a comprehensive fashion. The only other books on sensor networks do not cover this topic or do so only superficially as part of a less-focussed multi-authored treatment.
Author: Pawel Sniatala
Publisher: Springer Nature
Published: 2020-02-05
Total Pages: 209
ISBN-13: 3030331326
DOWNLOAD EBOOKThis book provides a comprehensive analysis of Brooks-Iyengar Distributed Sensing Algorithm, which brings together the power of Byzantine Agreement and sensor fusion in building a fault-tolerant distributed sensor network. The authors analyze its long-term impacts, advances, and future prospects. The book starts by discussing the Brooks-Iyengar algorithm, which has made significant impact since its initial publication in 1996. The authors show how the technique has been applied in many domains such as software reliability, distributed systems and OS development, etc. The book exemplifies how the algorithm has enhanced new real-time features by adding fault-tolerant capabilities for many applications. The authors posit that the Brooks-Iyengar Algorithm will to continue to be used where fault-tolerant solutions are needed in redundancy system scenarios. This book celebrates S.S. Iyengar's accomplishments that led to his 2019 Institute of Electrical and Electronics Engineers' (IEEE) Cybermatics Congress "Test of Time Award" for his work on creating Brooks-Iyengar Algorithm and its impact in advancing modern computing.
Author: S. Sitharama Iyengar
Publisher: John Wiley & Sons
Published: 2011-03-29
Total Pages: 250
ISBN-13: 1118099494
DOWNLOAD EBOOKThis book provides the basics needed to develop sensor network software and supplements it with many case studies covering network applications. It also examines how to develop onboard applications on individual sensors, how to interconnect these sensors, and how to form networks of sensors, although the major aim of this book is to provide foundational principles of developing sensor networking software and critically examine sensor network applications.
Author: Mohammad Ilyas
Publisher: CRC Press
Published: 2017-12-19
Total Pages: 568
ISBN-13: 1466582073
DOWNLOAD EBOOKRecent advances in technology and manufacturing have made it possible to create small, powerful, energy-efficient, cost-effective sensor nodes for specialized telecommunication applications—nodes "smart" enough to be capable of adaptation, self-awareness, and self-organization. Sensor Networks for Sustainable Development examines sensor network technologies that increase the quality of human life and encourage societal progress with minimal effect on the earth’s natural resources and environment. Organized as a collection of articles authored by leading experts in the field, this valuable reference captures the current state of the art and explores applications where sensor networks are used for sustainable development in: Agriculture Environment Energy Healthcare Transportation Disaster management Beneficial to designers and planners of emerging telecommunication networks, researchers in related industries, and students and academia seeking to learn about the impact of sensor networks on sustainable development, Sensor Networks for Sustainable Development provides scientific tutorials and technical information about smart sensor networks and their use in everything from remote patient monitoring to improving safety on the roadways and beyond.
Author: Yingshu Li
Publisher: Springer
Published: 2008-10-15
Total Pages: 595
ISBN-13: 354088582X
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the Third Annual International Conference on Wireless Algorithms, Systems, and Applications, WASA 2008, held in Dallas, TX, USA, in October 2008. The 35 revised full papers presented together with 3 keynote talks and 15 invited lectures were carefully reviewed and selected from numerous submissions. Providing a forum for researchers and practitioners, from the academic, industrial and governmental sectors, the papers address current research and development efforts of various issues in the area of algorithms, systems and applications for current and next generation infrastructure and infrastructureless wireless networks.
Author: National Research Council
Publisher: National Academies Press
Published: 2013-09-03
Total Pages: 191
ISBN-13: 0309287812
DOWNLOAD EBOOKData mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.
Author: Chen Ding
Publisher: Springer Science & Business Media
Published: 2010-08-30
Total Pages: 504
ISBN-13: 3642156711
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the IFIP International Conference, NPC 2010, held in Zhengzhou, China, in September 2010. The 39 papers presented were carefully selected from 89 submissions. The papers are organized in topical sections on Parallelization and Optimization, Parallel Algorithms, Network, CPU and Multicore, Cloud and Grid Infrastructure, Network on Chip.
Author: Hui-Huang Hsu
Publisher: Morgan Kaufmann
Published: 2017-02-02
Total Pages: 328
ISBN-13: 012809625X
DOWNLOAD EBOOKBig Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Contains contributions from noted scholars in computer science and electrical engineering from around the globe - Provides a broad overview of recent developments in sensor collected intelligence - Edited by a team comprised of leading thinkers in big data analytics
Author: Cheng K Hsu
Publisher: World Scientific
Published: 2009-02-17
Total Pages: 317
ISBN-13: 9814469327
DOWNLOAD EBOOKService science is an emerging field, but many still consider it lacking in substance. This book aims to change the situation by addressing the following questions: What is the big story about service? What are the main research problems in service? What does “a connected world” mean? Does service require a different kind of design science? What will be the next waves of the Web? How to support universal value co-creation? How to unite Cyberspace wilt physical space? Is it feasible to connect information resources everywhere?To answer these questions, the book presents and substantiates a digital connections scaling (DCS) model, complete with a population-oriented design paradigm and a new class of microeconomic production functions to explain the paths of transformation into the future — one of the most original results today. Next, the book analyzes new business designs on the Web and characterizes a service-led revolution for the Knowledge Economy. Thirdly, it develops systems planning and design methods to help implement the DCS model at the level of Information and Database Systems, Business Strategy, and Digitization Engineering, thereby enhancing these fields. Finally, certain intriguing new applications, especially “smart highways” and information supply chains, are discussed.
