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Author: S.S. Iyengar
Publisher: Springer Science & Business Media
Published: 2006-04-19
Total Pages: 204
ISBN-13: 1846282136
DOWNLOAD EBOOK →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.
Author: S.S. Iyengar
Publisher: Springer
Published: 2009-10-12
Total Pages: 194
ISBN-13: 9781848008540
DOWNLOAD EBOOK →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.
Author:
Publisher:
Published: 2003
Total Pages: 124
ISBN-13:
DOWNLOAD EBOOK →The distributed sensor network (DSN) presents a novel and highly complex computing platform with dif culties and opportunities that are just beginning to be explored. The potential of sensor networks extends from monitoring for threat reduction, to conducting instant and remote inventories, to ecological surveys. Developing and testing for robust and scalable applications is currently practiced almost exclusively in hardware. The Distributed Sensors Simulator (DSS) is an infrastructure that allows the user to debug and test software for DSNs independent of hardware constraints. The exibility of DSS allows developers and researchers to investigate topological, phenomenological, networking, robustness and scaling issues, to explore arbitrary algorithms for distributed sensors, and to defeat those algorithms through simulated failure. The user speci es the topology, the environment, the application, and any number of arbitrary failures; DSS provides the virtual environmental embedding.
Author: National Research Council
Publisher: National Academies Press
Published: 2013-09-03
Total Pages: 191
ISBN-13: 0309287812
DOWNLOAD EBOOK →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.
Author: Pawel Sniatala
Publisher: Springer Nature
Published: 2020-02-05
Total Pages: 202
ISBN-13: 3030331326
DOWNLOAD EBOOK →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.
Author: Tianqiang Li
Publisher:
Published: 2006
Total Pages:
ISBN-13: 9780542946677
DOWNLOAD EBOOK →Wireless sensor networks consist of a certain number of autonomous devices with sensor, every device has certain detection functionality like light, temperature, pressure, etc. Communication by using the radio frequency make these spatially distributed devices feasible to oversee the activities in a large scale of area/space. 802.15.4/ZigBee networks are slated to run in the unlicensed frequencies. It is a packet-based radio protocol aimed at very low-cost, battery-operated widgets and sensors that can intercommunicate and send low-bandwidth data to each other. This thesis covers the content of a software solution of data management for an 802.15.4 networks. Its main contribution lies in it grounds a scalable and extendable infrastructure for current and future developments to depend on, enabling users to manage the distributed sensor data across the diversified and spacious ZigBee network. Some unique technologies are proposed according to the specific hardware embedded environment, such as cyclic queue, storage structure of RAM+Flash memory, Dynamic binary search etc. Some improvement solutions are also implemented in an attempt to fill the gaps in functionalities of ZigBee networks such as TCP/IP stacks built onto ZigBee protocols. Some advanced design ideas are also presented such as browserbased user interface, communication via standard protocol (HTTP); Some software implementations are accomplished for the first time without former references such as the immigrating the RTX51 tiny from standard 8051 CPU to ChipCon2430 CPU. The infrastructure that we proposed consists of the sensor data collecting subsystem, data storing subsystem, data query algorithm and subsystem, radio frequency intercommunication subsystem and browser based user accessing interface. Sensor data collection and storing system will periodically save the sampled value from sensor to the memory system and later to the permanent flash memory. Data query subsystem will provide an efficient approach to locate the data to be queried among large number of stored data. Radio frequency intercommunication subsystem is in charge of the radio frequency communication between devices, to delivery back and forth for the query request and response is the one of the major duties in this subsystem. The user accessing interface supports the users to submit query requests in the browser with the standard http link address in users' personal computer.
Author: S. Sitharama Iyengar
Publisher: John Wiley & Sons
Published: 2011-03-29
Total Pages: 250
ISBN-13: 1118099494
DOWNLOAD EBOOK →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.
Author: Ramin Sadre
Publisher: Springer
Published: 2009-06-19
Total Pages: 223
ISBN-13: 3642026273
DOWNLOAD EBOOK →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.
Author: Victor Lesser
Publisher: Springer Science & Business Media
Published: 2003-07-31
Total Pages: 410
ISBN-13: 9781402074998
DOWNLOAD EBOOK →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.
Author: Mohammad Ilyas
Publisher: CRC Press
Published: 2017-12-19
Total Pages: 568
ISBN-13: 1466582073
DOWNLOAD EBOOK →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.
