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Semiconductor Wireless Sensor Internet of Things (IoT): Market Shares, Strategies, and Forecasts, Worldwide, 2014 to 2020

Published By :

Winter Green Research

Published Date : Feb 2014

Category :

IoT

No. of Pages : 492 Pages

WinterGreen Research announces that it has published a new study Wireless Sensor Network Market Shares, Strategy, and Forecasts, Worldwide, 2014 to 2020. The 2014 study has 640 pages, 266 tables and figures. Worldwide markets are poised to achieve significant growth as the Semiconductor Wireless Sensor Network is used to implement the Internet of things and to monitor pipelines, oil wells, and healthcare patients to illustrate the variety of projects supported by these networks.

 

Semiconductor wireless sensor networks are used for bridge monitoring, implementing the smart grid, implementing the Internet of things, and monitoring for security implementation. The systems are used to implement energy savings in homes and commercial buildings, almost anything can be monitored with sensors and tracked on a smart phone. Projects are ongoing.

 

With 9 billion devices connected to the Internet in 2014, phenomenal growth is likely to occur when that number rises to 100 billion by 2020. Businesses control devices with sensors and wireless sensor networks (WSNs).

 

The sensors connected to the Internet promise to bring a big data explosion. Much of the data will be discarded, as users get simply overwhelmed by vast volumes. Analytics will become popular inside the wireless sensor networks so that alerts are generated at the point of collection of data.

 

The issue is how to embed analytics into the wireless sensor network control units so that only the alert data needed is transmitted. Users of information need to be able to find, control, manage, and secure the information coming from sensors onto the network. Users need to analyze and exploit the information coming from sensors.

 

Advanced technologies for wireless sensor networks are associated with emerging ways of interconnecting devices that have never been connected before. Networking is based on leveraging the feasibility of making sensors work independently in groups to accomplish insight not otherwise available. Advanced storage devices are emerging simultaneously with the energy harvesting devices that are economical, making sensor networks feasible. Storage devices can leverage the power captured by energy harvesting when sensors and devices are interconnected as a network.

 

Data storage technologies connected to the sensors are permitting far better control of the world around us, implementing vastly improved energy efficiency as lights and hearting are turned on and off just as needed. Wireless sensor networks implement cost-effective systems.

 

Wireless sensor networks are developing a market presence. They are set to power wireless sensor network proliferation. Independent sensor devices located almost anywhere have attained workable levels of efficiency.

 

The proliferation of apps on smart phones will drive growth of semiconductor wireless sensor networks markets because the sensors work directly as they are installed without excess labor and wiring that has been necessary previously, making the systems more convenient to install and run.

 

Healthy lifestyle choices can increase the length of DNA sequences found at the end of a person\'s chromosomes and reverse aging. This discovery is likely to increase interest in monitoring and testing DNA sequences and looking at the ends of the chromosomes. This discovery is likely to increase a shift toward wellness initiatives. It has stimulated the need for better communication between clinicians and patients. New sensor technology creates the opportunity for monitoring and testing. Wireless sensor network devices can be used to send alerts to at risk people who are exercising.

 

Wireless sensor networking is set to grow as sensors are freed from the grid and networks implement connectivity that is mesh architecture based. Converting ambient energy to useable electrical energy harvesting (EH) systems creates the opportunity to implement wireless sensor networks. These networks interconnect an inexpensive and compact group of devices and sensors. The networks use wireless capability to power portable electrical devices.

 

Companies Profiled

 

Market Leaders

  • Renesas 
  • Microsemi 
  • Silicon Laboratories 
  • Linear Technology / Dust Networks 
  • Texas Instruments / National Semi
  • Lord
  • Semtech
  • Analog Devices
  • Millennial Net

 

Market Participants

  • Akamai
  • Analog Devices
  • Conexant Systems
  • Dialog
  • Freescale Semiconductor
  • Fujitsu
  • Gemalto
  • Honeywell
  • IBM
  • Integrated Device Technology (IDT)
  • Invensys 
  • Libelium 
  • Millennial Net
  • Mitsubishi Electric
  • Northrop Grumman
  • OMRON
  • Rockwell Automation
  • Schneider Electric
  • Semtech
  • Sensata Technologies
  • Texas Instruments
  • Zigbee
  • Z-wave

 

Check Out These Key Topics

  • Wireless Sensor Network
  • WSN
  • Internet of Things
  • Smart Cities
  • M2M Platform
  • Smart Planet
  • Wireless Nodes
  • Microcontroller
  • Energy Harvesting
  • Vibration-Based Wireless Energy
  • internet things
  • Smart cities
  • Wireless sensors
  • Sensor networks
  • Mote
  • Device nodes
  • Zigbee
  • Wifi
  • GPRS
  • Cloud
  • Open source
  • Smart Computing
  • Power Community
  • Wireless Sensor Networks
  • Smart Cities
  • Smart Buildings
  • Military Remote Energy Applications
  • Off-Grid Special Energy
  • Energy harvesters
  • Powering Pipeline Monitoring Stations
  • Lighting Community
  • Manganese dioxide
  • Nanoparticles
  • Nanotechnology Graphene
  • Self-assembly
  • Nanostructured Thin Films
  • Microgenerator Transforms Mechanical Energy
  • Solid State Technology
  • Microgenerator
  • Power Source Of Sensor
  • Sensor node
  • Wireless Sensor Network Economies of Scale
  • Internet of Things
  • IoT
  • Wireless Sensor Network Standards
  • System on a Chip (SOC)
  • Blue Tooth
  • SimpliciTI
  • M2M
  • LXRS PROTOCOL
  • ZigBee Alliance
  • Powering Current Sensors

Table of Content

 

SEMICONDUCTOR WIRELESS SENSOR NETWORK MARKET EXECUTIVE SUMMARY

Semiconductor Wireless Sensor Networks Market Driving Forces

Semiconductor Wireless Sensor Networking Market

Wireless Sensor Network Energy Harvesting And Storage Applications

Semiconductor Wireless Sensor Network Market Shares

Semiconductor Wireless Sensor Networks Market Forecast

 

1. SEMICONDUCTOR WIRELESS SENSOR NETWORK

1.1 Wireless Sensor Network Market Segments

1.1.1 Global Spectrum Allocation

1.2 Semiconductor Wireless Sensor Network Applications

1.2.1 Dust Networks Applications

1.2.2 Vigilent and Dust Networks Reduce Data Center Energy Consumption

1.2.3 Dust Networks Transportation Examples

1.2.4 Data Center Wireless Sensor Networks

1.2.5 Wireless Sensor Network Applications and Benefits

 

2. SEMICONDUCTOR WIRELESS SENSOR NETWORK MARKET SHARES AND MARKET FORECASTS

2.1 Semiconductor Wireless Sensor Networks Market Driving Forces

2.1.1 Semiconductor Wireless Sensor Networking Market

2.1.2 Wireless Sensor Network Energy Harvesting And Storage Applications

2.2 Semiconductor Wireless Sensor Network Market Shares

2.2.1 Renesas Electronics Wireless Sensor Networks: Semiconductor Technology

2.2.2 Linear Technology / Dust Networks Applications

2.2.3 Linear Technology / Dust Networks Data Center Wireless Sensor Networks

2.2.4 Microsemi Airplane Wireless Sensor Networks

2.2.5 IBM Mote Runner Software Development Kit

2.3 Semiconductor Wireless Sensor Networks Market Forecast

2.3.1 Semiconductor Wireless Sensor Network Applications Forecasts

2.3.2 Semiconductor Wireless Sensor Networking Bridges / Process Shipments Market Forecasts

2.3.3 Smart Commercial Building Semiconductor Wireless Sensor Networks Shipments Market Forecasts

2.3.4 Semiconductor Wireless Sensor Networks Security Shipments Market Forecasts

2.3.5 Aircraft and Tank Level Monitoring Wireless Sensor Networks Shipments, Market Forecasts

2.3.6 Homes / Physical Presence Semiconductor Wireless Sensor Networks Shipments Market Forecasts

2.3.7 Data Center, Smart Substation, and Smart Grid Meter Wireless Sensor Networks Market Forecasts

2.4 Semiconductor Wireless Sensor Network OEM Markets

2.5 Internet Grows

2.5.1 Sensors Plus The Cloud

2.6 Internet of Things (IoT) Growth

2.7 Semiconductor Wireless Sensor Networks Market Prices

2.8 Semiconductor Wireless Sensor Networks Regional Market Analysis

 

3. WIRELESS SENSOR NETWORK PRODUCT DESCRIPTION

3.1 Renesas Electronics Wireless Sensor Network Semiconductors

3.1.1 Renesas Expertise Create And Promote New Markets

3.1.2 Renesas Electronics Manages Rapid Pace Of Change For Wireless Sensor Networks

3.1.3 Renesas Electronics Wireless Sensor Networks: Semiconductor Technology Markets

3.1.4 Renesas Addresses Semiconductor Rapid Pace Of Change

3.1.5 Renesas Sees Demise of Wired Networks

3.1.6 Renesas Analog Front End Brings The Sensor and Microcontroller Together

3.1.7 Renesas Smart Analog Technology

3.1.8 Renesas Reduces Development Time

3.1.9 Renesas Low-Power, Small Footprint Hardware Platform

3.1.10 Renesas Providing Intelligence To Every Sensor

3.1.11 Renesas Proposing New Communication Technologies: BAN and VLC

3.1.12 Renesas Applications for Body Area Networks

3.1.13 Renesas Visible Light Communication Techniques

3.1.14 Renesas Expanding the Operational Capability Of Sensor Modules

3.1.15 Renesas Smart Car

3.2 Linear Technology / Dust Networks

3.2.1 Linear Technology Wireless Sensor Networks for Green Data Centers

3.2.2 Dust Networks Self-Powered IPV6 Wireless Sensor Network

3.2.3 Linear Technology / Dust Networks Embedded Wireless Systems

3.2.4 Linear Technology / Dust Networks / Cymbet

3.2.5 Dust Networks Connects Smart Devices

3.2.6 Dust Networks Eterna IEEE 802.15.4e System-on-Chip Platform

3.2.7 Dust Networks Dynamic Network Optimization

3.2.8 SmartMesh IP Embedded Products

3.3 Libelium Video Wireless Sensor Networks

3.3.1 Libelium Waspmote Uses ZigBee, Bluetooth and Wi-Fi Protocols

3.3.2 Libelium Waspmote and Meshlium

3.3.3 Libelium Meshlium

3.3.4 Libelium Capturing and Storing Sensor Data in Meshlium from a Waspmote Sensor Network

3.4 Microsemi Airplane Wireless Sensor Networks

3.4.1 Microsemi FPGAs

3.4.2 Microsemi TVS devices

3.4.3 Microsemi Integrated Circuits

3.4.4 Microsemi Wireless Sensor Networks

3.4.5 Microsemi Wireless Sensors

3.5 Silicon Labs

3.5.1 Silicon Labs Network Protocols

3.5.2 Silicon Labs EZMacPRO and EZHop Software Modules Position in the OSI Model

3.5.3 Silicon Laboratories Wireless Sensor Networks

3.5.4 Silicon Laboratories

3.5.5 Silicon Laboratories Energy Harvesting Applications

3.5.6 Energy Harvesting Reference Design

3.6 LORD MicroStrain

3.6.1 Lord Smart Network Coordination

3.6.2 Lord Small Sensors. Big Data.

3.6.3 LORD MicroStrain wireless sensor networks (WSN)

3.6.4 LORD MicroStrain

3.6.5 Lord Oil and Gas Wireless Sensor Networks

3.7 MEMSIC\'s wireless Motes and sensors

3.8 IBM Smarter Planet

3.8.1 IBM Smarter Planet Systems Approach To Product And Systems Development ROI

3.8.2 IBM Mote Runner

3.8.3 IBM Mote Runner Software Development Kit

3.8.4 IBM Mote Runner High-Performance, Lowfoot Print Run-Time Platform

3.8.5 Semtech and IBM

3.8.6 IBM and Libelium Launch 6LoWPAN Development Platform for the Internet of Things

3.8.7 IBM / Libelium Smart World Infographic – Sensors for Smart Cities, Internet of Things

3.8.8 IBM and Libelium, A Wireless Sensor Network Hardware

3.8.9 IBM / MEMSIC

3.8.10 IBM SOAP M2M

3.8.11 IBM M2M Message Flows

3.8.12 IBM Integration Bus

3.8.13 IBM® Operational Decision Manager Automate And Govern Repeatable Decisions

3.9 Cisco Wireless Sensor Networks

3.9.1 Cisco Secure Wireless Plant: Security and Quality of Service for Industrial Environments

3.9.2 Cisco and Dust Networks

3.9.3 Cisco Using Sensor Networking Standards

3.10 Siemens Smart Meters

3.10.1 Siemens Smart Grid Priming Services Customized for Smart Grid Utility Solutions

3.10.2 Siemens Program Management

3.10.3 Siemens Smart Metering Solutions

3.10.4 Siemens Enhanced Distribution Management System

3.10.5 Siemens Information Model Manager (IMM)

3.11 Boeing

3.11.1 Boeing / Fujitsu RFID Tracking

3.11.2 Boeing and Fujitsu Use Radio Frequency ID Tags

3.11.3 Boeing Wireless Sensor Applications

3.11.4 Boeing Wireless Sensor Network Applications

3.11.5 Boeing / MicroStrain Synchronized Wireless Sensor Network for Landing Gear

3.11.6 Boeing 767 Aircraft Wireless Sensor Network Cabin Environment Sensor System

3.12 Rockwell Automation

3.12.1 Rockwell Supply Chain Automation

3.12.2 Rockwell Automation Wireless Sensors

3.13 Honeywell

3.13.1 Honeywell OneWireless Network Open System

3.13.2 Honeywell’s Multinodes and Cisco’s 1552S Aironet Access Points

EnOcean

EnOcean Link

EnOcean Faster development

EnOcean Link Fully Prepared Data

EnOcean Encrypted Decoding Gateway

EnOcean ECO 200 - Motion Energy Harvesting

EnOcean ECT 310 - Thermo Energy Harvesting

EnOcean Energy Harvesting Wireless Sensor Solutions

EnOcean Energy Harvesting Wireless Sensor Solutions

EnOcean Alliance Energy Harvesting Solutions

EnOcean-Enabled Wireless Networks

EnOcean Alliance

3.14 Freescale Semiconductor Inc.,

3.15 Schneider Electric Lighting Control Solutions for Comprehensive Facility Energy Management

3.15.1 Schneider Electric Lighting Control Systems

3.15.2 Schneider Electric / Invensys PLC.

3.16 Mitsubishi Electric

3.17 Conexant Systems, Inc.

3.18 Teledyne / Rockwell Scientific ...

3.19 Texas Instruments / National Semiconductor Corporation, LMX3162 Single Chip Radio

3.20 Analog Devices Wireless Vibration Sensing Network System

3.21 Silicon Labs Solutions For Energy Harvesting Systems

3.21.1 Silicon Labs Energy Harvesting Tipping Point for Wireless Sensor Applications

3.21.2 Silicon Laboratories Low-Power Optimization

3.21.3 Silicon Labs Solutions For Energy Harvesting Systems

3.21.4 Silicon Labs Minimizing The Amount Of Time The Radio Is On

3.21.5 Silicon Laboratories Managing Harvested Energy

3.21.6 Silicon Labs Ability To Power Wireless Sensor Nodes

3.21.7 Silicon Labs Powers Wireless Node with Energy Harvesting

3.22 Sensata Technologies

 

4. WIRELESS SENSOR NETWORK TECHNOLOGY

4.1 Libelium Video Camera Sensors

4.1.1 Libelium Technology

4.2 Millennial Net MeshScape™ Wireless Sensor Networking Software Platform

4.3 Wireless Sensor Network Architecture

4.4 Healthcare Wireless Cardiac Networking

4.4.1 Flexible Circuit Board

4.4.2 Wireless Heart-Monitoring Devices

4.4.3 Zigbee Retail

4.4.4 Zigbee Smart Energy

4.4.5 Zigbee Smart Apps: ZigBee Building Automation

4.5 E-Enabled Airplanes

4.5.1 Security Of Wireless Sensor Network Enabled Airplane Health

4.6 Wireless Network Standards

4.6.1 Zigbee Alliance

4.6.2 M2M

4.6.3 LXRS® PROTOCOL

4.6.4 WirelessHART (IEC62591)

4.7 Components of a WSN Node

4.7.1 Small Cells and LTE

4.7.2 Smart Antenna Systems

 

5. WIRELESS SENSOR NETWORK COMPANY DESCRIPTION

5.1 Akamai

5.1.1 Akamai Balances Web Site Traffic

5.1.2 Akamai Revenue

5.2 Analog Devices

5.2.1 Analog Devices Revenue

5.2.2 Analog Devices MEMS Wireless Vibration Sensors

5.3 Conexant Systems

5.4 Dialog

5.4.1 Dialog Typical Cordless Telephony Applications

5.5 Freescale Semiconductor

5.5.1 Freescale Semiconductor Revenue

5.6 Fujitsu

5.6.1 Fujitsu Revenue

5.1.1 Fujitsu Technology Solutions Services

5.1.2 Fujitsu Corporate Strategy

5.1.3 Fujitsu Revenue

5.1.4 Fujitsu Interstage

5.1.5 Fujitsu Acquires RunMyProcess Cloud Service Provider

5.7 Gemalto

5.7.1 Gemalto Q3 2014 Results

5.8 Honeywell

5.8.1 Honeywell Revenue

5.8.2 Honeywell Aerospace

5.8.3 Honeywell Automation and Control Solutions

5.8.4 Honeywell Performance Materials and Technologies

5.8.5 Honeywell Transportation Systems

5.8.6 Honeywell

5.8.7 Honeywell Energy-Harvesting Sensing and Control

5.9 IBM

5.9.1 IBM Industry Analyst Perspective

5.9.2 IBM Strategy

5.9.3 IBM Revenue

5.9.4 IBM Q4 2013 Software

5.9.5 IBM Q4 2013 Services

5.9.6 IBM Q4 2013 Financing

5.9.7 IBM Q4 2013 Hardware

5.9.8 IBM Q4 Geographic Regions

5.9.9 IBM Q4 Growth Markets

5.9.10 IBM Full-Year 2013 Results

5.9.11 IBM Full-Year Geographic Regions

5.9.12 IBM Growth Markets

5.9.13 IBM Business Partners

5.9.14 IBM Messaging Extension for Web Application Pattern

5.9.15 IBM MobileFirst

5.9.16 IBM Analytics and Optimization Strategy

5.9.17 IBM Smarter Planet

5.9.18 IBM Cloud Computing

5.9.19 IBM Business Model

5.9.20 IBM Business Revenue Segments And Capabilities

5.10 Integrated Device Technology (IDT)

5.10.1 Integrated Device Technology, Inc. (IDT) Revenue

5.10.2 Integrated Device Technology, Inc. (IDT) Products

5.11 Invensys

5.11.1 Invensys Revenue

5.11.2 Invensys Offer From Schneider Electric S.A

5.12 Libelium

5.12.1 Libelium Wireless Sensor Network Platform

5.12.2 Libelium as Internet of Things Platform Provider

5.12.3 Libelium Vehicle Traffic Monitoring Platform

5.12.4 Libelium Waspmote Modular Platform

5.13 Linear Technology / Dust Networks

5.13.1 Dust Networks

5.13.2 Dust Networks Self-Powered IPV6 Wireless Sensor Network

5.13.3 Dust Networks Applications

5.13.4 Linear Technology Revenue

5.13.5 Linear Technology Acquisitions

5.13.6 Linear Technology Products

5.13.7 Linear Technology

5.14 Lord

5.14.1 Lord Combining Multiple Sensors

5.14.2 Lord MicroStrain® Sensing Systems Quality & Innovation

5.14.3 Lord Revenue

5.15 Microsemi Corporation

5.15.1 Microsemi Customers

5.15.2 Microsemi Revenue

5.15.3 Microsemi / Zarlink Semiconductor

5.16 Millennial Net

5.17 Mitsubishi Electric

5.18 Northrop Grumman

5.18.1 Northrop Grumman Smart Grid

5.18.2 Northrop Grumman

5.18.3 Northrop Grumman Corp (NOC.N) Spinning Off Or Selling Its Shipbuilding Business

5.18.4 Northrop Grumman Remotec Robots

5.18.5 Northrop Grumman Opens New Facilities for Design and Manufacture of Unmanned Ground Vehicles in Coventry

5.18.6 Northrop Grumman Business Sectors:

5.18.7 Northrop Grumman Aerospace Systems

5.19 OMRON

5.19.1 Omron Revenue

5.20 Renesas

5.20.1 Renesas Electronics Partners and Customers

5.21 Rockwell Automation

5.21.1 Rockwell Automation Acquires vMonitor

5.21.2 Rockwell Automation / VMonitor Wireless Sensors

5.22 Schneider Electric

5.22.1 Schneider Electric

5.22.2 Schneider Electric Vision Smart Grid:

5.22.3 Schneider Electric Triggers of the Smart Grid

5.22.4 Schneider Electric Revenue

5.22.5 Smart Grid: Schneider Electric Vision

5.22.6 Schneider Electric Triggers of the Smart Grid

5.22.7 Schneider Electric / Invensys

5.22.8 Schneider Electric / Invensys Revenue

5.22.9 Schneider Electric / Invensys Offer From Schneider Electric S.A

5.23 Semtech

5.23.1 Semtech / Gennum

5.23.2 Semtech / Cycleo SAS

5.23.3 Semtech Revenue

5.24 Sensata Technologies

5.24.1 Sensata Technologies Acquires Wabash Technologies

5.24.2 Sensata Technologies Revenue

5.25 Silicon Labs

5.25.1 Silicon Laboratories Energy Harvesting Applications

5.25.2 Silicon Laboratories Products

5.26 Texas Instruments

5.26.1 Texas Instruments Revenue

5.27 Zigbee Standard

5.27.1 ZigBee Gateway

5.28 Z-wave

5.29 Wireless Sensor Network WSN Selected Company List

List of Table

Table ES-1 Wireless Sensor Networking Market Driving Forces

Table ES-2 Wireless Sensor Networking Technology Uses

Table ES-3 Wireless Sensor Networks Market Factors

Figure ES-4 Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013

Figure ES-5 Semiconductor Wireless Sensor Network Shipments, Market Forecasts Dollars, Worldwide, 2014-2020

Figure 1-1 Wireless Sensor Network Market Segments

Figure 1-2 Global Spectrum Allocation

Figure 1-3 4G Deployment Aspects

Table 1-4 Types of Wireless Sensor Networks (WSN)

Table 1-5 Characteristics Of A Wireless Sensor Network (WSN)

Table 1-6 Wireless Sensor Network Data Center Benefits:

Table 1-7 Wireless Sensor Network Data Center Functions:

Table 1-8 Wireless Sensor Network Data Center Features

Table 1-9 Wireless Sensor Network Data Center Challenges:

Table 1-10 Wireless Sensor Network Applications and Benefits

Table 2-1 Wireless Sensor Networking Market Driving Forces

Table 2-2 Wireless Sensor Networking Technology Uses

Table 2-3 Wireless Sensor Networks Market Factors

Figure 2-4 Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013

Table 2-5 Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013

Figure 2-6 Semiconductor Wireless Sensor Network Shipments, Market Forecasts Dollars, Worldwide, 2014-2020

Table 2-7 Semiconductor Wireless Sensor Networks Market Forecasts, Worldwide, 2014-2020

Table 2-8 Semiconductor Wireless Sensor Network Market Segments, Dollars, Worldwide, 2014-2020

Table 2-9 Semiconductor Wireless Sensor Network Market Segments, Percent, Worldwide, 2014-2020

Table 2-10 Semiconductor Wireless Sensor Network Market Forecasts, Dollars and Units, Worldwide, 2014-2020

Figure 2-11 Semiconductor Wireless Sensor Networking Bridges / Process Shipments Market Forecasts, Dollars, Worldwide, 2014-2020

Figure 2-12 Smart Commercial Building Semiconductor Wireless Sensor Networks Shipments Market Forecasts, Worldwide, Dollars, 2014-2020

Figure 2-13 Semiconductor Wireless Sensor Networks Security Shipments Market Forecasts, Dollars, Worldwide, 2014-2020

Figure 2-14 Aircraft and Tank Level Monitoring Wireless Sensor Networks Shipments, Market Forecasts, Worldwide, 2014-2020

Figure 2-15 Homes / Physical Presence Semiconductor Wireless Sensor Networks Shipments Market Forecasts, Dollars, Worldwide, 2014-2020

Figure 2-16 Data Center, Smart Substation, and Smart Grid Meter Wireless Sensor Networks Market Forecasts Dollars, Worldwide, 2014-020

Table 2-17 OEM Wireless Sensor Network Embedded Product Market Shares Dollars, Worldwide, 2013

Figure 2-18 Wireless Sensor Networks Generate Zettabytes of Data

Figure 2-19 Wireless Sensor Network Regional Market Segments, 2013

Table 2-20 Wireless Sensor Network Regional Market Segments, 2013

Figure 3-1 Renesas Electronics Wireless Sensor Network Semiconductors

Figure 3-2 Renesas Electronics Semiconductor Smart Building Solutions For Key Embedded System Applications

Figure 3-3 Renesas Wireless Sensor Network Semiconductor Technical Capabilities

Table 3-4 Renesas Addresses Semiconductor Rapid Pace Of Change

Table 3-5 Renesas Wireless Sensor Network Technologies

Figure 3-6 Renesas Analog Front End Brings The Sensor and Microcontroller Together

Table 3-7 Renesas Smart Analog Technology Benefits

Figure 3-8 Renesas Smart Analog Technology

Figure 3-9 Renesas Reduces Overall Design Lead Time

Figure 3-10 Renesas Low-power, Small Footprint Hardware Platform

Table 3-11 Renesas Smart Analog Technology

Figure 3-12 Renesas Practical Example of Field Programmability (Light Sensor)

Figure 3-13 Renesas Applications for BAN in Healthcare, Automotive, Commerce And Security

Figure 3-14 Renesas Visible Light Communication Techniques

Table 3-15 Renesas Common Automotive Technologies

Table 3-16 Selected Renesas Automotive Wireless Sensor Network Components

Table 3-16 (Continued) Selected Renesas Automotive Wireless Sensor Network Components

Figure 3-17 Linear Technology Application Areas

Table 3-18 Linear Technology / Dust Networks Benefits of Wireless Sensor Networks, (WSN) For Data Center Energy Management:

Figure 3-19 Linear Technology / Dust Networks Wireless Sensor Network Mission Critical Operations

Figure 3-20 Linear Technology / Dust Networks Wireless Sensor Network Target Markets

Figure 3-21 Linear Technology / Dust Networks LTC

Table 3-22 Dust Networks Portfolio Of Standards-Based Products

Table 3-23 Dust Networks Eterna Features

Table 3-24 Dust Networks Dynamic Network Optimization Functions

Figure 3-25 Linear Technology / Dust Networks SmartMesh IP Solution

Figure 3-26 Libelium Waspmote Wireless Sensor Network Platform

Figure 3-27 Libelium Night Vision Mode

Table 3-28 Libelium Video Camera Sensor Nodes Key Features:

Figure 3-29 Libelium Wireless Sensor Networks

Table 3-30 Libelium Waspmote and Meshlium Configurations:

Table 3-31 Microsemi Commercial Aviation Solutions

Figur3-32 Microsemi Wireless Sensor Networks

Table 3-33 Silicon Labs Wireless Sensor Network Applications

Figure 3-34 Silicon Labs OSI Model

Figure 3-35 Silicon Labs OSI Model

Table 3-36 Silicon Labs Wireless Sensor Network WSNs Benefits

Figure 3-37 Silicon Laboratories Energy Harvesting Components

Figure 3-38 Silicon Laboratories

Figure 3-39 MEMSIC Wireless Sensor Network Technology

Figure 3-40 Wireless Sensor Networks Smarter Planet systems approach Savings

Figure 3-41 IBM Smarter Planet Initiatives

Figure 3-42 IBM Mote Runner Challenges Addressed

Figure 3-43 IBM Mote Runner Challenges Advantages

Figure 3-44 Libelium Waspmote Wireless Sensor Network Platform

Figure 3-45 Libelium Waspmote Wireless Sensor Platform Components

Table 3-46 IBM® Operational Decision Manager

Table 3-47 Cisco Wireless Sensor Networks Uses

Figure 3-48 Microsemi Corporation Supports Siemens

Table 3-49 Siemens Spectrum Power IMM Key Benefits

Figure 3-50 Siemens Spectrum Power IMM

Table 3-51 Boeing Energy Harvesting Development Programs Functions

Figure 3-52 Boeing Wireless Sensor Aircraft Applications

Figure 3-53 Broadband Energy Harvester (Boeing )

Figure 3-54 Broadband Wireless Sensor Network (Boeing )

Figure 3-55 EnOcean Middleware For Energy Harvesting

Figure 3-56 EnOcean ECO 200 - Motion Energy Harvesting

Table 3-57 EnOcean ECO 200 - Motion Energy Harvesting

Figure 3-58 EnOcean ECO 100 - Motion Energy Harvesting

Table 3-59 EnOcean Energy Harvesting Motion Converter

Table 3-60 EnOcean ECT 310 Perpetuum

Table 3-61 EnOcean Thermo Converter

Table 3-62 EnOcean Energy Converters For Energy Harvesting Wireless Applications

Figure 3-63 EnOcean-Enabled Wireless Sensor Networks

Table 3-64 EnOcean Alliance Energy Harvesting Solutions Advantages

Table 3-65 EnOcean Energy Harvesting Sources

Figure 3-66 EnOcean Energy Harvesting Wireless Sensor Technology

Figure 3-67 EnOcean Energy Harvesting Wireless Sensor Devices

Figure 3-68 Schneider Electric Energy Harvesting

Figure 3-69 Texas Instruments Smart Grid Solutions

Figure 3-70 Texas Instruments Semiconductor Wireless Sensor Networks Markets

Figure 3-71 Texas Instruments Industrial Communications Automation Networks

Table 3-72 Silicon Labs Solutions For Energy Harvesting Applications

Table 3-73 Silicon Labs Solutions For Energy Harvesting Solutions

Table 3-74 Silicon Labs Solutions For Energy Harvesting Systems

Figure 3-75 Silicon Laboratories Wireless Sensor Node Power Cycle

Figure 3-76 Silicon Labs Solutions For Energy Harvesting Systems

Figure 4-1 Libelium Video Camera Sensors

Fiigure 4-2 Libelium Security Device Takes Pictures In Total Darkness

Table 4-3 Libelium Security Device Key Features:

Table 4-4 Libelium Night Vision Key Features:

Figure 4-5 Libelium Waspmote Technology

Table 4-6 Wireless Sensor Networking Technology Benefits

Table 4-7 Millennial Net Wireless Sensor Networking Protocol Responsive Functions

Table 4-8 Millennial Net Wireless Sensor Networking Protocol Reliability Functions

Table 4-9 Millennial Net Wireless Sensor Networking Protocol Power Efficient Functions

Table 4-10 Millennial Net Wireless Sensor Networking Protocol Functions

Figure 4-11 Wireless Sensor Network Architecture

Figure 4-12 Wireless Autonomous Transducer electrocardiogram Solution

Table 4-13 Wireless Sensor Networking Technology Uses

Table 4-14 Wireless Sensor Networking E-Enabled Airplane Benefits

Table 4-15 Wireless Sensor Networking E-Enabled Airplane Functions

Figure 4-16 Security Of Wireless Sensor Network Enabled Airplane Health Monitoring

Figure 4-17 LXRS® Wireless Protocol

Figure 4-18 WirelessHART (IEC62591)

Table 5-1 Analog Devices Target Markets

Figure 5-2 Dialog\'s short range wireless technology

Figure 5-3 Fujitsu Core Technologies for Advanced ICT, 2013 and 2023

Figure 5-4 Fujitsu Focus on Innovation

Table 5-5 Honeywell Energy-Harvesting Sensing and Control

Table 5-6 IDT Product Set

Figure 5-7 Invensys Software and Industrial Automation Target Markets

Figure 5-8 Invensys Energy Controls and Appliance Target Markets

Figure 5-9 Libelium Waspmote Open-Source Wireless Sensor Platform

Figure 5-10 Libelium Customers

Figure 5-11 Libelium as Internet of Things Platform Provider

Figure 5-12 Libelium Vehicle Platform Allows Real Time Systems For Monitoring Traffic

Figure 5-13 Libelium Wireless Sensor Network Vehicle Platform

Figure 5-14 Libelium Awards

Figure 5-15 Microsemi Revenue and Positioning

Figure 5-16 Microsemi Customers

Figure 5-17 Microsemi Market Focus

Figure 5-18 Microsemi Communications Market

Figure 5-19 Microsemi World Class Timing

Figure 5-20 Microsemi Aerospace Market

Figure 5-21 Microsemi Aerospace Annual Deliveries

Figure 5-22 Microsemi World Class Avionics

Figure 5-23 Microsemi World Class Satellite Launches

Figure 5-24 Microsemi World Class Satellite Solutions

Figure 5-25 Microsemi Corporation View of Growth Drivers in Space

Figure 5-26 Microsemi Defense and Security Market

Figure 5-27 Microsemi Key Defense and Security Market Drivers

Figure 5-28 Microsemi World Class Industrial Espionage and National Security Positioning

Figure 5-29 Microsemi Defense and Security Market TAM & SAM

Figure 5-30 Microsemi World Class Satellite Launches

Figure 5-31 Microsemi Industrial Market Subsegment Growth Rates

Figure 5-32 Microsemi Industrial Deployment Examples

Figure 5-33 Microsemi Industrial Market Customers

Figure 5-34 Microsemi Defense and Security Market

Figure 5-35 Millennial Net Customers

Table 5-36 Renesas Electronics Product Categories

Figure 5-37 Renesas Positioning As Trustworthy Partner Able To Meet Customer Needs Worldwide

Figure 5-38 Renesas Electronics Partners and Customers

Figure 5-39 Renesas Revenue Summary

Figure 5-40 Renesas Quarterly Revenue Summary

Figure 5-41 Renesas Semiconductor Revenue Summary

Figure 5-42 Renesas Trends in Revenue Summary

Figure 5-43 Renesas Major Factors Affecting Semiconductor Sales Summary

Figure 5-44 Renesas Revenue Segment Summary

Figure 5-45 Renesas Segment and Subsegment Revenue Summary

Figure 5-46 Renesas Major Factors Affecting Semiconductor Revenue Summary

Figure 5-47 Schneider Energy Value Chain:

Table 5-48 Schneider Electric Triggers Innovation For the Smart Grid

Figure 5-49 Schneider Electric Revenue

Figure 5-50 Schneider Energy Value Chain

Table 5-51 Schneider Electric Triggers of the Smart Grid

Figure 5-52 Invensys Software and Industrial Automation Target Markets

Figure 5-53 Invensys Energy Controls and Appliance Target Markets

Figure 5-54 Sensata Technologies Revenue Mix

Figure 5-55 Silicon Laboratories Revenue

Table 5-56 Silicon Laboratories Product Functions

Table 5-57 Silicon Laboratories Product Areas and Description

Figure 5-58 Zigbee Selected Alliance Members

Table 5-59 Z-Wave device Benefits

Table 5-60 Z-Wave Home Control Functions

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