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ReportsnReports.com: $12B Semiconductor Wireless Sensor Networks Market Forecast to 2020(M2 PressWIRE Via Acquire Media NewsEdge) ReportsnReports.com offers "Semiconductor Wireless Sensor Internet of Things (IoT): Market Shares, Strategies, and Forecasts, Worldwide, 2014 to 2020" research report in its store. Wild growth, frequently measured as penetration rates is a result of the change out of wired sensor networks for wireless ones. In addition, the wireless networks have a broader reach than the wired ones did, spurring market extensions in a variety of applications, some not even thought of so far. Market growth is dependent on emerging technology. As the wireless technology, the solid state battery, the sensor technology, smart phone technology and the energy harvesting technology all become commercialized, these devices will be used to implement wireless sensor networks. The semiconductor wireless sensor networks markets will be driven by the adoption of 9 billion smart phones by 2020, creating demand for apps that depend on sensor networks. Complete report is available at http://www.reportsnreports.com/reports/275026-semiconductor-wireless-sensor-internet-of-things-iot-market-shares-strategies-and-forecasts-worldwide-2014-to-2020.html . 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 in Semiconductor Wireless Sensor Internet of Things (IoT): Market Shares, Strategies, and Forecasts, Worldwide, 2014 to 2020 report include Akamai, Analog Devices, Conexant Systems, Dialog, Freescale Semiconductor, Fujitsu, Gemalto, Honeywell, IBM, Integrated Device Technology (IDT), Invensys, Libelium, Linear Technology / Dust Networks, Lord, Microsemi Corporation, Millennial Net, Mitsubishi Electric, Northrop Grumman, OMRON, Renesas, Rockwell Automation, Schneider Electric, Semtech, Sensata Technologies, Silicon Labs, Texas Instruments, Zigbee Standard and Z-wave. Order a copy of this report at http://www.reportsnreports.com/Purchase.aspx?name=275026 . Table of Contents for Semiconductor Wireless Sensor Networks: Market Shares, Strategies, and Forecasts, Worldwide, 2014 to 2020 include: 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(TM) 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 Tables and Figures 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, 2014-2020 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 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 Explore more reports on semiconductor and electronics market at http://www.reportsnreports.com/market-research/semiconductor-and-electronics/ . 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