Scalable Infrastructure for Distributed Sensor Networks

Scalable Infrastructure for Distributed Sensor Networks PDF Author: S.S. Iyengar
Publisher: Springer Science & Business Media
ISBN: 1846282136
Category : Technology & Engineering
Languages : en
Pages : 204

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Book Description
This 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.

Scalable Infrastructure for Distributed Sensor Networks

Scalable Infrastructure for Distributed Sensor Networks PDF Author: S.S. Iyengar
Publisher: Springer Science & Business Media
ISBN: 1846282136
Category : Technology & Engineering
Languages : en
Pages : 204

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Book Description
This 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.

Scalable Infrastructure for Distributed Sensor Networks

Scalable Infrastructure for Distributed Sensor Networks PDF Author: S.S. Iyengar
Publisher: Springer
ISBN: 9781848008540
Category : Technology & Engineering
Languages : en
Pages : 194

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Book Description
This 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.

Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm

Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm PDF Author: Pawel Sniatala
Publisher: Springer Nature
ISBN: 3030331326
Category : Technology & Engineering
Languages : en
Pages : 202

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Book Description
This 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.

Frontiers in Massive Data Analysis

Frontiers in Massive Data Analysis PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309287812
Category : Mathematics
Languages : en
Pages : 190

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Book Description
Data 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.

Fundamentals of Sensor Network Programming

Fundamentals of Sensor Network Programming PDF Author: S. Sitharama Iyengar
Publisher: John Wiley & Sons
ISBN: 1118099494
Category : Technology & Engineering
Languages : en
Pages : 250

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Book Description
This 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.

Sensor Networks for Sustainable Development

Sensor Networks for Sustainable Development PDF Author: Mohammad Ilyas
Publisher: CRC Press
ISBN: 1466582073
Category : Science
Languages : en
Pages : 568

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Book Description
Recent 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.

Distributed Sensor Networks

Distributed Sensor Networks PDF Author: Victor Lesser
Publisher: Springer Science & Business Media
ISBN: 9781402074998
Category : Computers
Languages : en
Pages : 410

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Book Description
As computer networks (and computational grids) become increasingly complex, the problem of allocating resources within such networks, in a distributed fashion, will become more and more of a design and implementation concern. This is especially true where the allocation involves distributed collections of resources rather than just a single resource, where there are alternative patterns of resources with different levels of utility that can satisfy the desired allocation, and where this allocation process must be done in soft real-time. Distributed Sensor Networks is the first book of its kind to examine solutions to this problem using ideas taken from the field of multiagent systems. The field of multiagent systems has itself seen an exponential growth in the past decade, and has developed a variety of techniques for distributed resource allocation. Distributed Sensor Networks contains contributions from leading, international researchers describing a variety of approaches to this problem based on examples of implemented systems taken from a common distributed sensor network application; each approach is motivated, demonstrated and tested by way of a common challenge problem. The book focuses on both practical systems and their theoretical analysis, and is divided into three parts: the first part describes the common sensor network challenge problem; the second part explains the different technical approaches to the common challenge problem; and the third part provides results on the formal analysis of a number of approaches taken to address the challenge problem.

Scalability of Networks and Services

Scalability of Networks and Services PDF Author: Ramin Sadre
Publisher: Springer
ISBN: 3642026273
Category : Computers
Languages : en
Pages : 223

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Book Description
This volume of the Lecture Notes in Computer Science series contains the papers accepted for presentation at the Third International Conference on Autonomous - frastructure, Management and Security (AIMS 2009). The conference took place in Enschede, The Netherlands, hosted by the University of Twente. AIMS 2009 was - ganized and supported by the EC IST-EMANICS Network of Excellence (#26854) and co-sponsored by IFIP WG 6.6 and the Strategic Research Orientation of the University of Twente on Dependable Systems and Networks (DSN). AIMS 2009 constituted the Third edition of a single-track and standalone c- ference on management and security aspects of distributed and autonomous systems, which took place initially in Oslo, Norway in June 2007, followed by AIMS 2008 in Bremen, Germany. The theme of the AIMS 2009 conference was “Scalability of Networks and S- vices,” focusing on how scalable networked systems can be monitored, managed, and protected in an ef cient and autonomous way. The research papers that have been - lected for publication in the present proceedings have approached this theme from d- ferent perspectives, covering topics such as network resource management, overlays andpeer-to-peernetworks,networkcon gurationandoptimization,andmonitoringand visualization.

Wireless Algorithms, Systems, and Applications

Wireless Algorithms, Systems, and Applications PDF Author: Yingshu Li
Publisher: Springer
ISBN: 354088582X
Category : Computers
Languages : en
Pages : 595

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Book Description
This 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.

Wireless Sensor Networks

Wireless Sensor Networks PDF Author: Cailian Chen
Publisher: Springer
ISBN: 3319123793
Category : Computers
Languages : en
Pages : 96

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Book Description
This SpringerBrief evaluates the cooperative effort of sensor nodes to accomplish high-level tasks with sensing, data processing and communication. The metrics of network-wide convergence, unbiasedness, consistency and optimality are discussed through network topology, distributed estimation algorithms and consensus strategy. Systematic analysis reveals that proper deployment of sensor nodes and a small number of low-cost relays (without sensing function) can speed up the information fusion and thus improve the estimation capability of wireless sensor networks (WSNs). This brief also investigates the spatial distribution of sensor nodes and basic scalable estimation algorithms, the consensus-based estimation capability for a class of relay assisted sensor networks with asymmetric communication topology, and the problem of filter design for mobile target tracking over WSNs. From the system perspective, the network topology is closely related to the capability and efficiency of network-wide scalable distributed estimation. Wireless Sensor Networks: Distributed Consensus Estimation is a valuable resource for researchers and professionals working in wireless communications, networks and distributed computing. Advanced-level students studying computer science and electrical engineering will also find the content helpful.