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DaCosta Francis - Rethinking the Internet of Things: a Scalable Approach to Connecting Everything

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DaCosta Francis Rethinking the Internet of Things: a Scalable Approach to Connecting Everything
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Rethinking the Internet of Things: a Scalable Approach to Connecting Everything: summary, description and annotation

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Intro; Contents at a Glance; Contents; About the Author; About the Project Manager; About the Technical Reviewer; Acknowledgments; Foreword; Chapter 1: Its Different Out Here; Why the Internet of Things Requires a New Solution; Its Networking on the Frontier; It Will be (Even) Bigger than Expected; Terse, Purposeful, and Uncritical; Dealing with Loss; The Protocol Trap; Mind the Overhead; More Smarts, More Risk; The Overhead of Overhead; Humans Need Not Apply; Economics and Technology of the Internet of Things; Functionality Costs Money; Inexpensive Devices Cant Bear Traditional Protocols.;Over the next decade, most devices connected to the Internet will not be used by people in the familiar way that personal computers, tablets and smart phones are. Billions of interconnected devices will be monitoring the environment, transportation systems, factories, farms, forests, utilities, soil and weather conditions, oceans and resources. Many of these sensors and actuators will be networked into autonomous sets, with much of the information being exchanged machine-to-machine directly and without human involvement. Machine-to-machine communications are typically terse. Most sensors and actuators will report or act upon small pieces of information - chirps. Burdening these devices with current network protocol stacks is inefficient, unnecessary and unduly increases their cost of ownership. This must change. The architecture of the Internet of Things must evolve now by incorporating simpler protocols toward at the edges of the network, or remain forever inefficient. Rethinking the Internet of Things describes reasons why we must rethink current approaches to the Internet of Things. Appropriate architectures that will coexist with existing networking protocols are described in detail. An architecture comprised of integrator functions, propagator nodes, and end devices, along with their interactions, is explored. What youll learn Discusses the difference between the normal Internet and the Internet of Things. Describes a new architecture and its components in the chirp context. Explains the shortcomings of IP for IoT. Describes the anatomy of the IoT. Describes how to build a suitable network to maximize the amazing potential of the IoT. Who this book is for Thought leaders, executives, architectural, standards and development leaders in the evolving IoT industry. Corporations and organizations whose commercial products could be adapted simply to be functioning devices on the IOT while saving billions of dollars in unnecessary costs or proprietary designs. Those who wish to capitalize on technology change and those interested in the Internet, its capabilities and the need to improve it.

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Rethinking the Internet of Things

A Scalable Approach to Connecting Everything

Rethinking the Internet of Things a Scalable Approach to Connecting Everything - image 2

Francis daCosta

Rethinking the Internet of Things A Scalable Approach to Connecting Everything - photo 3

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Rethinking the Internet of Things: A Scalable Approach to Connecting Everything

Francis daCosta

Copyright 2013 by Apress Media, LLC, all rights reserved

ApressOpen Rights: You have the right to copy, use and distribute this Work in its entirety, electronically without modification, for non-commercial purposes only.

License for Distribution of the Work: This Work is copyrighted by Apress Media, LLC, all rights reserved. Use of this Work other than as provided for in this license is prohibited. By exercising any of the rights herein, you are accepting the terms of this license. You have the non-exclusive right to copy, use and distribute this English language Work in its entirety, electronically without modification except for those modifications necessary for formatting on specific devices, for all non-commercial purposes, in all media and formats known now or hereafter. While the advice and information in this Work are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.

ISBN-13 (pbk): 978-1-4302-5740-0

ISBN-13 (electronic): 978-1-4302-5741-7

Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark.

The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.

While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.

President and Publisher: Paul Manning

Lead Editor: Jeffrey Pepper

Project Manager: Byron Henderson

Technical Editor: John Aiken

Coordinating Editor: Jill Balzano

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To Gautama Buddha, whose teachings inspired me to explore a more nature based approach to edge networking as described in this book.

Contents at a Glance

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About the Author

Francis daCosta founded and acted as CTO for MeshDynamics (wireless mesh networking), Advanced Cybernetics Group (embedded software for robot control systems and other mission-critical military applications), and Knowmadic (web-based big data extraction). Previously, he served as an adviser to the United States Air Force Robotics and Automation Center of Excellence (RACE). He also held senior technical positions at MITRE, Northrop Grumman, Ingersoll-Rand, and Xerox. His entrepreneurial projects have also included autonomous robotic systems and adaptive process controllers.

Mr. daCosta has a MS from Stanford University and a BS from the Indian Institute of Technology, along with post-graduate work in artificial intelligence at the University of California, Los Angeles. He is currently involved in a stealth-mode Internet of Things start-up and has authored or co-authored 15 patents incorporating a variety of technology innovations including adaptive control, self-healing mesh networks, sensor fusion, machine learning, distributed control, and automatic robot programming. His intellectual interests include machine intelligence, subsumption architectures, emergence, and consilience.

About the Project Manager

Byron Henderson has been working in data communications and networking for thirty years in a variety of marketing, product management, sales, and general management roles. Companies have included MeshDynamics, Cisco Systems, Stratacom, Fibermux (later ADC Telecommunications), MICOM Systems (later Nortel Networks), and ComDesign (later Network Equipment Technologies). His areas of technology focus have included wireless networking, voice-over-IP, routing and switching, security, and more. Before discovering that communications offered a better career path than crustaceans, he studied aquatic biology at the University of California, Santa Barbara.

About the Technical Reviewer

John Aiken took his BSEE at Cornell University. He worked in silicon fabrication process engineering in implant, diffusion and thin films for several chip companies. John moved into development, as a founder of one of the first companies providing low cost, high performance satellite television receivers to the consumer market. He developed high reliability power avionics for the defense and space sectors, designed broadcast video-graphics systems and managed development of pioneering graphics supercomputers for space shuttle flight simulation at NASA Johnson Space Center. Working at Lockheed Martin, John provided software and systems engineering expertise in the communications, navigation and training markets. He developed protocols for networked simulation and performed operations planning for the Air Force Satellite Control Network. At Intel, John managed development of software for server applications and developed specifications for open communications systems.

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