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.
According to Susan Eustis, lead author of the WinterGreen Research team that prepared the semiconductor wireless sensor network market research study, “Semiconductor wireless sensor network markets are evolving as smart phone devices and technology find more uses throughout the landscape of the Internet of Things. Sensors can provide monitoring that has not previously been available. Differential diagnostic tools support provide differential information that helps manage our daily lives from traffic patterns to crime detections, to medical treatment.”
“The decision process take into account clinical findings from the home monitoring devices and from symptoms verbally communicated in a clinical services setting. Improved economics of healthcare delivery implementation is facilitated by wireless sensor networks. This is true across the spectrum of things that can be monitored by sensors”

Semiconductor Wireless Sensor Networks Markets at $2.7 billion in 2013 are forecast to reach $12 billion Worldwide by 2020. 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.

Table Of Contents

SEMICONDUCTOR WIRELESS SENSOR NETWORK MARKET EXECUTIVE SUMMARY 30

Semiconductor Wireless Sensor Networks Market Driving Forces 30
Semiconductor Wireless Sensor Networking Market 32
Wireless Sensor Network Energy Harvesting And Storage Applications 35
Semiconductor Wireless Sensor Network Market Shares 35
Semiconductor Wireless Sensor Networks Market Forecast 37
Semiconductor Wireless Sensor Network Market Description and Market Dynamics

1. SEMICONDUCTOR WIRELESS SENSOR NETWORK 40

1.1 Wireless Sensor Network Market Segments 40
1.1.1 Global Spectrum Allocation 41
1.2 Semiconductor Wireless Sensor Network Applications 42
1.2.1 Dust Networks Applications 47
1.2.2 Vigilent and Dust Networks Reduce Data Center Energy Consumption 48
1.2.3 Dust Networks Transportation Examples 48
1.2.4 Data Center Wireless Sensor Networks 49
1.2.5 Wireless Sensor Network Applications and Benefits 53
Semiconductor Wireless Sensor Network Market Shares and Market Forecasts

2. SEMICONDUCTOR WIRELESS SENSOR NETWORK MARKET SHARES AND MARKET FORECASTS55

2.1 Semiconductor Wireless Sensor Networks Market Driving Forces 55
2.1.1 Semiconductor Wireless Sensor Networking Market 57
2.1.2 Wireless Sensor Network Energy Harvesting And Storage Applications 60
2.2 Semiconductor Wireless Sensor Network Market Shares 60
2.2.1 Renesas Electronics Wireless Sensor Networks: Semiconductor Technology 64
2.2.2 Linear Technology / Dust Networks Applications 64
2.2.3 Linear Technology / Dust Networks Data Center Wireless Sensor Networks 65
2.2.4 Microsemi Airplane Wireless Sensor Networks 65
2.2.5 IBM Mote Runner Software Development Kit 66
2.3 Semiconductor Wireless Sensor Networks Market Forecast 67
2.3.1 Semiconductor Wireless Sensor Network Applications Forecasts 70
2.3.2 Semiconductor Wireless Sensor Networking Bridges / Process Shipments Market Forecasts 74
2.3.3 Smart Commercial Building Semiconductor Wireless Sensor Networks Shipments Market Forecasts 75
2.3.4 Semiconductor Wireless Sensor Networks Security Shipments Market Forecasts 77
2.3.5 Aircraft and Tank Level Monitoring Wireless Sensor Networks Shipments, Market Forecasts 78
2.3.6 Homes / Physical Presence Semiconductor Wireless Sensor Networks Shipments Market Forecasts 80
2.3.7 Data Center, Smart Substation, and Smart Grid Meter Wireless Sensor Networks Market Forecasts 82
2.4 Semiconductor Wireless Sensor Network OEM Markets 83
2.5 Internet Grows 86
2.5.1 Sensors Plus The Cloud 87
2.6 Internet of Things (IoT) Growth 87
2.7 Semiconductor Wireless Sensor Networks Market Prices 89
2.8 Semiconductor Wireless Sensor Networks Regional Market Analysis 90

3. WIRELESS SENSOR NETWORK PRODUCT DESCRIPTION 94

3.1 Renesas Electronics Wireless Sensor Network Semiconductors 94
3.1.1 Renesas Expertise Create And Promote New Markets 97
3.1.2 Renesas Electronics Manages Rapid Pace Of Change For Wireless Sensor Networks 98
3.1.3 Renesas Electronics Wireless Sensor Networks: Semiconductor Technology Markets 101
3.1.4 Renesas Addresses Semiconductor Rapid Pace Of Change 102
3.1.5 Renesas Sees Demise of Wired Networks 103
3.1.6 Renesas Analog Front End Brings The Sensor and Microcontroller Together 104
3.1.7 Renesas Smart Analog Technology 105
3.1.8 Renesas Reduces Development Time 107
3.1.9 Renesas Low-Power, Small Footprint Hardware Platform 109
3.1.10 Renesas Providing Intelligence To Every Sensor 110
3.1.11 Renesas Proposing New Communication Technologies: BAN and VLC 111
3.1.12 Renesas Applications for Body Area Networks 112
3.1.13 Renesas Visible Light Communication Techniques 114
3.1.14 Renesas Expanding the Operational Capability Of Sensor Modules 116
3.1.15 Renesas Smart Car 116
3.2 Linear Technology / Dust Networks 123
3.2.1 Linear Technology Wireless Sensor Networks for Green Data Centers 125
3.2.2 Dust Networks Self-Powered IPV6 Wireless Sensor Network 126
3.2.3 Linear Technology / Dust Networks Embedded Wireless Systems 127
3.2.4 Linear Technology / Dust Networks / Cymbet 130
3.2.5 Dust Networks Connects Smart Devices 131
3.2.6 Dust Networks Eterna IEEE 802.15.4e System-on-Chip Platform 133
3.2.7 Dust Networks Dynamic Network Optimization 134
3.2.8 SmartMesh IP Embedded Products 135
3.3 Libelium Video Wireless Sensor Networks 137
3.3.1 Libelium Waspmote Uses ZigBee, Bluetooth and Wi-Fi Protocols 139
3.3.2 Libelium Waspmote and Meshlium 142
3.3.3 Libelium Meshlium 143
3.3.4 Libelium Capturing and Storing Sensor Data in Meshlium from a Waspmote Sensor Network 145
3.4 Microsemi Airplane Wireless Sensor Networks 146
3.4.1 Microsemi FPGAs 149
3.4.2 Microsemi TVS devices 149
3.4.3 Microsemi Integrated Circuits 150
3.4.4 Microsemi Wireless Sensor Networks 151
3.4.5 Microsemi Wireless Sensors 152
3.5 Silicon Labs 152
3.5.1 Silicon Labs Network Protocols 155
3.5.2 Silicon Labs EZMacPRO and EZHop Software Modules Position in the OSI Model 157
3.5.3 Silicon Laboratories Wireless Sensor Networks 158
3.5.4 Silicon Laboratories 159
3.5.5 Silicon Laboratories Energy Harvesting Applications 160
3.5.6 Energy Harvesting Reference Design 160
3.6 LORD MicroStrain 161
3.6.1 Lord Smart Network Coordination 161
3.6.2 Lord Small Sensors. Big Data. 162
3.6.3 LORD MicroStrain wireless sensor networks (WSN) 162
3.6.4 LORD MicroStrain 163
3.6.5 Lord Oil and Gas Wireless Sensor Networks 164
3.7 MEMSIC's wireless Motes and sensors 165
3.8 IBM Smarter Planet 167
3.8.1 IBM Smarter Planet Systems Approach To Product And Systems Development ROI 168
3.8.2 IBM Mote Runner 169
3.8.3 IBM Mote Runner Software Development Kit 170
3.8.4 IBM Mote Runner High-Performance, Lowfoot Print Run-Time Platform 171
3.8.5 Semtech and IBM 174
3.8.6 IBM and Libelium Launch 6LoWPAN Development Platform for the Internet of Things 175
3.8.7 IBM / Libelium Smart World Infographic - Sensors for Smart Cities, Internet of Things 179
3.8.8 IBM and Libelium, A Wireless Sensor Network Hardware 179
3.8.9 IBM / MEMSIC 179
3.8.10 IBM SOAP M2M 181
3.8.11 IBM M2M Message Flows 181
3.8.12 IBM Integration Bus 182
3.8.13 IBM® Operational Decision Manager Automate And Govern Repeatable Decisions 183
3.9 Cisco Wireless Sensor Networks 184
3.9.1 Cisco Secure Wireless Plant: Security and Quality of Service for Industrial Environments 185
3.9.2 Cisco and Dust Networks 186
3.9.3 Cisco Using Sensor Networking Standards 187
3.10 Siemens Smart Meters 189
3.10.1 Siemens Smart Grid Priming Services Customized for Smart Grid Utility Solutions 190
3.10.2 Siemens Program Management 190
3.10.3 Siemens Smart Metering Solutions 191
3.10.4 Siemens Enhanced Distribution Management System 192
3.10.5 Siemens Information Model Manager (IMM) 192
3.11 Boeing 195
3.11.1 Boeing / Fujitsu RFID Tracking 196
3.11.2 Boeing and Fujitsu Use Radio Frequency ID Tags 198
3.11.3 Boeing Wireless Sensor Applications 199
3.11.4 Boeing Wireless Sensor Network Applications 200
3.11.5 Boeing / MicroStrain Synchronized Wireless Sensor Network for Landing Gear 204
3.11.6 Boeing 767 Aircraft Wireless Sensor Network Cabin Environment Sensor System 206
3.12 Rockwell Automation 206
3.12.1 Rockwell Supply Chain Automation 207
3.12.2 Rockwell Automation Wireless Sensors 207
3.13 Honeywell 207
3.13.1 Honeywell OneWireless Network Open System 208
3.13.2 Honeywell’s Multinodes and Cisco’s 1552S Aironet Access Points 208
EnOcean 209
EnOcean Link210
EnOcean Faster development 211
EnOcean Link Fully Prepared Data 212
EnOcean Encrypted Decoding Gateway 213
EnOcean ECO 200 - Motion Energy Harvesting 214
EnOcean ECT 310 - Thermo Energy Harvesting 217
EnOcean Energy Harvesting Wireless Sensor Solutions 220
EnOcean Energy Harvesting Wireless Sensor Solutions 221
EnOcean Alliance Energy Harvesting Solutions 226
EnOcean-Enabled Wireless Networks 226
EnOcean Alliance 228
3.14 Freescale Semiconductor Inc., 232
3.15 Schneider Electric Lighting Control Solutions for Comprehensive Facility Energy Management234
3.15.1 Schneider Electric Lighting Control Systems 234
3.15.2 Schneider Electric / Invensys PLC. 235
3.16 Mitsubishi Electric 236
3.17 Conexant Systems, Inc. 236
3.18 Teledyne / Rockwell Scientific … 236
3.19 Texas Instruments / National Semiconductor Corporation, LMX3162 Single Chip Radio 237
3.20 Analog Devices Wireless Vibration Sensing Network System 241
3.21 Silicon Labs Solutions For Energy Harvesting Systems 241
3.21.1 Silicon Labs Energy Harvesting Tipping Point for Wireless Sensor Applications 246
3.21.2 Silicon Laboratories Low-Power Optimization 247
3.21.3 Silicon Labs Solutions For Energy Harvesting Systems 248
3.21.4 Silicon Labs Minimizing The Amount Of Time The Radio Is On 249
3.21.5 Silicon Laboratories Managing Harvested Energy 250
3.21.6 Silicon Labs Ability To Power Wireless Sensor Nodes 254
3.21.7 Silicon Labs Powers Wireless Node with Energy Harvesting 254
3.22 Sensata Technologies 254
Semiconductor Wireless Sensor Network Technology

4. WIRELESS SENSOR NETWORK TECHNOLOGY 258

4.1 Libelium Video Camera Sensors 258
4.1.1 Libelium Technology 262
4.2 Millennial Net MeshScapeâ„¢ Wireless Sensor Networking Software Platform 265
4.3 Wireless Sensor Network Architecture 271
4.4 Healthcare Wireless Cardiac Networking 272
4.4.1 Flexible Circuit Board 273
4.4.2 Wireless Heart-Monitoring Devices 275
4.4.3 Zigbee Retail 279
4.4.4 Zigbee Smart Energy 279
4.4.5 Zigbee Smart Apps: ZigBee Building Automation 282
4.5 E-Enabled Airplanes 283
4.5.1 Security Of Wireless Sensor Network Enabled Airplane Health 287
4.6 Wireless Network Standards 289
4.6.1 Zigbee Alliance 289
4.6.2 M2M 290
4.6.3 LXRS® PROTOCOL 291
4.6.4 WirelessHART (IEC62591) 292
4.7 Components of a WSN Node 295
4.7.1 Small Cells and LTE 297
4.7.2 Smart Antenna Systems 298

5. WIRELESS SENSOR NETWORK COMPANY DESCRIPTION 300

5.1 Akamai 300
5.1.1 Akamai Balances Web Site Traffic 301
5.1.2 Akamai Revenue 301
5.2 Analog Devices 302
5.2.1 Analog Devices Revenue 304
5.2.2 Analog Devices MEMS Wireless Vibration Sensors 305
5.3 Conexant Systems 306
5.4 Dialog 306
5.4.1 Dialog Typical Cordless Telephony Applications 308
5.5 Freescale Semiconductor 310
5.5.1 Freescale Semiconductor Revenue 313
5.6 Fujitsu 313
5.6.1 Fujitsu Revenue 313
5.1.1 Fujitsu Technology Solutions Services 318
5.1.2 Fujitsu Corporate Strategy 318
5.1.3 Fujitsu Revenue 319
5.1.4 Fujitsu Interstage 320
5.1.5 Fujitsu Acquires RunMyProcess Cloud Service Provider 321
5.7 Gemalto 322
5.7.1 Gemalto Q3 2014 Results 322
5.8 Honeywell 323
5.8.1 Honeywell Revenue 324
5.8.2 Honeywell Aerospace 324
5.8.3 Honeywell Automation and Control Solutions 324
5.8.4 Honeywell Performance Materials and Technologies 325
5.8.5 Honeywell Transportation Systems 327
5.8.6 Honeywell 327
5.8.7 Honeywell Energy-Harvesting Sensing and Control 328
5.9 IBM 329
5.9.1 IBM Industry Analyst Perspective 330
5.9.2 IBM Strategy 331
5.9.3 IBM Revenue 333
5.9.4 IBM Q4 2013 Software 335
5.9.5 IBM Q4 2013 Services 335
5.9.6 IBM Q4 2013 Financing 336
5.9.7 IBM Q4 2013 Hardware 336
5.9.8 IBM Q4 Geographic Regions 336
5.9.9 IBM Q4 Growth Markets 337
5.9.10 IBM Full-Year 2013 Results 337
5.9.11 IBM Full-Year Geographic Regions 338
5.9.12 IBM Growth Markets 338
5.9.13 IBM Business Partners 339
5.9.14 IBM Messaging Extension for Web Application Pattern 341
5.9.15 IBM MobileFirst 341
5.9.16 IBM Analytics and Optimization Strategy 342
5.9.17 IBM Smarter Planet 342
5.9.18 IBM Cloud Computing 344
5.9.19 IBM Business Model 345
5.9.20 IBM Business Revenue Segments And Capabilities 345
5.10 Integrated Device Technology (IDT) 353
5.10.1 Integrated Device Technology, Inc. (IDT) Revenue 354
5.10.2 Integrated Device Technology, Inc. (IDT) Products 354
5.11 Invensys356
5.11.1 Invensys Revenue 359
5.11.2 Invensys Offer From Schneider Electric S.A 360
5.12 Libelium 360
5.12.1 Libelium Wireless Sensor Network Platform 360
5.12.2 Libelium as Internet of Things Platform Provider 363
5.12.3 Libelium Vehicle Traffic Monitoring Platform 364
5.12.4 Libelium Waspmote Modular Platform 369
5.13 Linear Technology / Dust Networks 371
5.13.1 Dust Networks 371
5.13.2 Dust Networks Self-Powered IPV6 Wireless Sensor Network 372
5.13.3 Dust Networks Applications 373
5.13.4 Linear Technology Revenue 374
5.13.5 Linear Technology Acquisitions 374
5.13.6 Linear Technology Products 375
5.13.7 Linear Technology 376
5.14 Lord 377
5.14.1 Lord Combining Multiple Sensors 378
5.14.2 Lord MicroStrain® Sensing Systems Quality and Innovation 379
5.14.3 Lord Revenue 379
5.15 Microsemi Corporation 379
5.15.1 Microsemi Customers 382
5.15.2 Microsemi Revenue 384
5.15.3 Microsemi / Zarlink Semiconductor 404
5.16 Millennial Net 404
5.17 Mitsubishi Electric 414
5.18 Northrop Grumman 415
5.18.1 Northrop Grumman Smart Grid 416
5.18.2 Northrop Grumman 417
5.18.3 Northrop Grumman Corp (NOC.N) Spinning Off Or Selling Its Shipbuilding Business 418
5.18.4 Northrop Grumman Remotec Robots 418
5.18.5 Northrop Grumman Opens New Facilities for Design and Manufacture of Unmanned Ground Vehicles in Coventry 419
5.18.6 Northrop Grumman Business Sectors: 421
5.18.7 Northrop Grumman Aerospace Systems 424
5.19 OMRON 426
5.19.1 Omron Revenue 426
5.20 Renesas 428
5.20.1 Renesas Electronics Partners and Customers 431
5.21 Rockwell Automation 452
5.21.1 Rockwell Automation Acquires vMonitor 452
5.21.2 Rockwell Automation / Vmonitor Wireless Sensors 453
5.22 Schneider Electric 453
5.22.1 Schneider Electric 454
5.22.2 Schneider Electric Vision Smart Grid: 454
5.22.3 Schneider Electric Triggers of the Smart Grid 456
5.22.4 Schneider Electric Revenue 458
5.22.5 Smart Grid: Schneider Electric Vision 459
5.22.6 Schneider Electric Triggers of the Smart Grid 460
5.22.7 Schneider Electric / Invensys 461
5.22.8 Schneider Electric / Invensys Revenue 464
5.22.9 Schneider Electric / Invensys Offer From Schneider Electric S.A 464
5.23 Semtech 464
5.23.1 Semtech / Gennum 465
5.23.2 Semtech / Cycleo SAS 466
5.23.3 Semtech Revenue 466
5.24 Sensata Technologies 466
5.24.1 Sensata Technologies Acquires Wabash Technologies 467
5.24.2 Sensata Technologies Revenue 467
5.25 Silicon Labs 468
5.25.1 Silicon Laboratories Energy Harvesting Applications 470
5.25.2 Silicon Laboratories Products 473
5.26 Texas Instruments 477
5.26.1 Texas Instruments Revenue 477
5.27 Zigbee Standard 477
5.27.1 ZigBee Gateway 478
5.28 Z-wave 480
5.29 Wireless Sensor Network WSN Selected Company List 483
WINTERGREEN RESEARCH, 489
WinterGreen Research Methodology 490

List of Tables and Figures

Table ES-1 31
Wireless Sensor Networking Market Driving Forces 31
Table ES-2 33
Wireless Sensor Networking Technology Uses 33
Table ES-3 34
Wireless Sensor Networks Market Factors 34
Figure ES-4 36
Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013 36
Figure ES-5 38
Semiconductor Wireless Sensor Network Shipments, Market Forecasts Dollars, Worldwide, 2014-2020 38
Figure 1-1 40
Wireless Sensor Network Market Segments 40
Figure 1-2 41
Global Spectrum Allocation 41
Figure 1-3 43
4G Deployment Aspects 43
Table 1-4 43
Types of Wireless Sensor Networks (WSN) 43
Table 1-5 46
Characteristics Of A Wireless Sensor Network (WSN) 46
Table 1-6 51
Wireless Sensor Network Data Center Benefits: 51
Table 1-7 51
Wireless Sensor Network Data Center Functions: 51
Table 1-8 52
Wireless Sensor Network Data Center Features 52
Table 1-9 53
Wireless Sensor Network Data Center Challenges: 53
Table 1-10 54
Wireless Sensor Network Applications and Benefits 54
Table 2-1 56
Wireless Sensor Networking Market Driving Forces 56
Table 2-2 58
Wireless Sensor Networking Technology Uses 58
Table 2-3 59
Wireless Sensor Networks Market Factors 59
Figure 2-4 61
Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013 61
Table 2-5 62
Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013 62
Figure 2-6 68
Semiconductor Wireless Sensor Network Shipments, Market Forecasts Dollars, Worldwide, 2014-2020 68
Table 2-7 69
Semiconductor Wireless Sensor Networks Market Forecasts, Worldwide, 2014-2020 70
Table 2-8 70
Semiconductor Wireless Sensor Network Market Segments, Dollars, Worldwide, 2014-2020 71
Table 2-9 72
Semiconductor Wireless Sensor Network Market Segments, Percent, Worldwide, 2014-2020 72
Table 2-10 73
Semiconductor Wireless Sensor Network Market Forecasts, Dollars and Units,
Worldwide, 2014-2020 73
Figure 2-11 74
Semiconductor Wireless Sensor Networking Bridges / Process Shipments Market Forecasts,
Dollars, Worldwide, 2014-2020 74
Figure 2-12 75
Smart Commercial Building Semiconductor Wireless Sensor Networks Shipments
Market Forecasts, Worldwide, Dollars, 2014-2020 76
Figure 2-13 77
Semiconductor Wireless Sensor Networks Security Shipments Market Forecasts,
Dollars, Worldwide, 2014-2020 77
Figure 2-14 79
Aircraft and Tank Level Monitoring Wireless Sensor Networks Shipments, Market Forecasts,
Worldwide, 2014-2020 79
Figure 2-15 81
Homes / Physical Presence Semiconductor Wireless Sensor Networks Shipments
Market Forecasts, Dollars, Worldwide, 2014-2020 81
Figure 2-16 82
Data Center, Smart Substation, and Smart Grid Meter Wireless Sensor Networks
Market Forecasts Dollars, Worldwide, 2014-2020 82
Table 2-17 84
OEM Wireless Sensor Network Embedded Product Market Shares Dollars, Worldwide, 2013 84
Figure 2-18 88
Wireless Sensor Networks Generate Zettabytes of Data 88
Figure 2-19 91
Wireless Sensor Network Regional Market Segments, 2013 91
Table 2-20 93
Wireless Sensor Network Regional Market Segments, 2013 93
Figure 3-1 95
Renesas Electronics Wireless Sensor Network Semiconductors 95
Figure 3-2 96
Renesas Electronics Semiconductor Smart Building Solutions For Key
Embedded System Applications 96
Figure 3-3 100
Renesas Wireless Sensor Network Semiconductor Technical Capabilities 100
Table 3-4 103
Renesas Addresses Semiconductor Rapid Pace Of Change 103
Table 3-5 104
Renesas Wireless Sensor Network Technologies 104
Figure 3-6 104
Renesas Analog Front End Brings The Sensor and Microcontroller Together 104
Table 3-7 106
Renesas Smart Analog Technology Benefits 106
Figure 3-8 107
Renesas Smart Analog Technology 107
Figure 3-9 108
Renesas Reduces Overall Design Lead Time 108
Figure 3-10 109
Renesas Low-power, Small Footprint Hardware Platform 109
Table 3-11 110
Renesas Smart Analog Technology 110
Figure 3-12 110
Renesas Practical Example of Field Programmability (Light Sensor) 111
111
Figure 3-13 112
Renesas Applications for BAN in Healthcare, Automotive, Commerce And Security 112
Figure 3-14 114
Renesas Visible Light Communication Techniques 115
Table 3-15 117
Renesas Common Automotive Technologies 117
Table 3-16 120
Selected Renesas Automotive Wireless Sensor Network Components 120
Table 3-16 (Continued) 121
Selected Renesas Automotive Wireless Sensor Network Components 122
Figure 3-17 124
Linear Technology Application Areas 124
Table 3-18 126
Linear Technology / Dust Networks Benefits of Wireless Sensor Networks, (WSN) For Data Center Energy Management: 126
Figure 3-19 127
Linear Technology / Dust Networks Wireless Sensor Network Mission Critical Operations 128
Figure 3-20 128
Linear Technology / Dust Networks Wireless Sensor Network Target Markets 128
Figure 3-21 129
Linear Technology / Dust Networks LTC 129
Table 3-22 132
Dust Networks Portfolio Of Standards-Based Products 132
Table 3-23 134
Dust Networks Eterna Features 134
Table 3-24 135
Dust Networks Dynamic Network Optimization Functions 135
Figure 3-25 136
Linear Technology / Dust Networks SmartMesh IP Solution 136
Figure 3-26 138
Libelium Waspmote Wireless Sensor Network Platform 138
Figure 3-27 139
Libelium Night Vision Mode 139
Table 3-28 141
Libelium Video Camera Sensor Nodes Key Features: 141
Figure 3-29 143
Libelium Wireless Sensor Networks 143
Table 3-30 146
Libelium Waspmote and Meshlium Configurations: 146
Table 3-31 148
Microsemi Commercial Aviation Solutions 148
Figur3-32 151
Microsemi Wireless Sensor Networks 151
Table 3-33 153
Silicon Labs Wireless Sensor Network Applications 153
Figure 3-34 154
Silicon Labs OSI Model 154
Figure 3-35 156
Silicon Labs OSI Model 156
Table 3-36 158
Silicon Labs Wireless Sensor Network WSNs Benefits 158
Figure 3-37 159
Silicon Laboratories Energy Harvesting Components 159
Figure 3-38 160
Silicon Laboratories 160
Figure 3-39 166
MEMSIC Wireless Sensor Network Technology 166
Figure 3-40 168
Wireless Sensor Networks Smarter Planet systems approach Savings 168
Figure 3-41 169
IBM Smarter Planet Initiatives 169
Figure 3-42 172
IBM Mote Runner Challenges Addressed 172
Figure 3-43 173
IBM Mote Runner Challenges Advantages 173
Figure 3-44 176
Libelium Waspmote Wireless Sensor Network Platform 176
Figure 3-45 178
Libelium Waspmote Wireless Sensor Platform Components 178
Table 3-46 184
IBM® Operational Decision Manager 184
Table 3-47 186
Cisco Wireless Sensor Networks Uses 186
Figure 3-48 189
Microsemi Corporation Supports Siemens 189
Table 3-49 193
Siemens Spectrum Power IMM Key Benefits 193
Figure 3-50 194
Siemens Spectrum Power IMM 195
Table 3-51 200
Boeing Energy Harvesting Development Programs Functions 200
Figure 3-52 201
Boeing Wireless Sensor Aircraft Applications 201
Figure 3-53 203
Broadband Energy Harvester (Boeing ) 203
Figure 3-54 204
Broadband Wireless Sensor Network (Boeing ) 204
Figure 3-55 210
EnOcean Middleware For Energy Harvesting 210
Figure 3-56 214
EnOcean ECO 200 - Motion Energy Harvesting 214
Table 3-57 215
EnOcean ECO 200 - Motion Energy Harvesting 215
Figure 3-58 216
EnOcean ECO 100 - Motion Energy Harvesting 216
Table 3-59 217
EnOcean Energy Harvesting Motion Converter 217
Table 3-60 217
EnOcean ECT 310 Perpetuum 217
Table 3-61 218
EnOcean Thermo Converter 218
Table 3-62 219
EnOcean Energy Converters For Energy Harvesting Wireless Applications 219
Figure 3-63 221
EnOcean-Enabled Wireless Sensor Networks 221
Table 3-64 227
EnOcean Alliance Energy Harvesting Solutions Advantages 227
Table 3-65 229
EnOcean Energy Harvesting Sources 229
Figure 3-66 230
EnOcean Energy Harvesting Wireless Sensor Technology 230
Figure 3-67 231
EnOcean Energy Harvesting Wireless Sensor Devices 231
Figure 3-68 235
Schneider Electric Energy Harvesting 235
Figure 3-69 237
Texas Instruments Smart Grid Solutions 237
Figure 3-70 238
Texas Instruments Semiconductor Wireless Sensor Networks Markets 238
Figure 3-71 240
Texas Instruments Industrial Communications Automation Networks 240
Table 3-72 242
Silicon Labs Solutions For Energy Harvesting Applications 242
Table 3-73 243
Silicon Labs Solutions For Energy Harvesting Solutions 243
Table 3-74 244
Silicon Labs Solutions For Energy Harvesting Systems 244
Figure 3-75 247
Silicon Laboratories Wireless Sensor Node Power Cycle 247
Figure 3-76 251
Silicon Labs Solutions For Energy Harvesting Systems 251
Figure 4-1 259
Libelium Video Camera Sensors 259
Fiigure 4-2 260
Libelium Security Device Takes Pictures In Total Darkness 260
Table 4-3 261
Libelium Security Device Key Features: 261
Table 4-4 262
Libelium Night Vision Key Features: 262
Figure 4-5 263
Libelium Waspmote Technology 263
Table 4-6 265
Wireless Sensor Networking Technology Benefits 265
Table 4-7 267
Millennial Net Wireless Sensor Networking Protocol Responsive Functions 267
Table 4-8 268
Millennial Net Wireless Sensor Networking Protocol Reliability Functions 268
Table 4-9 269
Millennial Net Wireless Sensor Networking Protocol Power Efficient Functions 269
Table 4-10 270
Millennial Net Wireless Sensor Networking Protocol Functions 270
Figure 4-11 271
Wireless Sensor Network Architecture 271
Figure 4-12 273
Wireless Autonomous Transducer electrocardiogram Solution 273
Table 4-13 284
Wireless Sensor Networking Technology Uses 284
Table 4-14 285
Wireless Sensor Networking E-Enabled Airplane Benefits 285
Table 4-15 286
Wireless Sensor Networking E-Enabled Airplane Functions 286
Figure 4-16 287
Security Of Wireless Sensor Network Enabled Airplane Health Monitoring 287
Figure 4-17 291
LXRS® Wireless Protocol 291
Figure 4-18 292
WirelessHART (IEC62591) 292
Table 5-1 303
Analog Devices Target Markets 303
Figure 5-2 307
Dialog's short range wireless technology 307
Figure 5-3 315
Fujitsu Core Technologies for Advanced ICT, 2013 and 2023 315
Figure 5-4 316
Fujitsu Focus on Innovation 316
Table 5-5 329
Honeywell Energy-Harvesting Sensing and Control 329
Table 5-6 355
IDT Product Set 355
Figure 5-7 357
Invensys Software and Industrial Automation Target Markets 357
Figure 5-8 358
Invensys Energy Controls and Appliance Target Markets 358
Figure 5-9 361
Libelium Waspmote Open-Source Wireless Sensor Platform 361
Figure 5-10 362
Libelium Customers 362
Figure 5-11 363
Libelium as Internet of Things Platform Provider 363
Figure 5-12 365
Libelium Vehicle Platform Allows Real Time Systems For Monitoring Traffic 365
Figure 5-13 368
Libelium Wireless Sensor Network Vehicle Platform 368
Figure 5-14 370
Libelium Awards 370
Figure 5-15 380
Microsemi Revenue and Positioning 381
Figure 5-16 382
Microsemi Customers 382
Figure 5-17 383
Microsemi Market Focus 383
Figure 5-18 385
Microsemi Communications Market 385
Figure 5-19 387
Microsemi World Class Timing 387
Figure 5-20 388
Microsemi Aerospace Market 388
Figure 5-21 389
Microsemi Aerospace Annual Deliveries 389
Figure 5-22 390
Microsemi World Class Avionics 390
Figure 5-23 391
Microsemi World Class Satellite Launches 391
Figure 5-24 392
Microsemi World Class Satellite Solutions 393
Figure 5-25 393
Microsemi Corporation View of Growth Drivers in Space 394
Figure 5-26 395
Microsemi Defense and Security Market 395
Figure 5-27 396
Microsemi Key Defense and Security Market Drivers 396
Figure 5-28 397
Microsemi World Class Industrial Espionage and National Security Positioning 397
Figure 5-29 398
Microsemi Defense and Security Market TAM and SAM 398
Figure 5-30 399
Microsemi World Class Satellite Launches 399
Figure 5-31 400
Microsemi Industrial Market Subsegment Growth Rates 400
Figure 5-32 401
Microsemi Industrial Deployment Examples 401
Figure 5-33 402
Microsemi Industrial Market Customers 402
Figure 5-34 403
Microsemi Defense and Security Market 403
Figure 5-35 404
Millennial Net Customers 404
Table 5-36 429
Renesas Electronics Product Categories 429
Figure 5-37 429
Renesas Positioning As Trustworthy Partner Able To Meet Customer Needs Worldwide 429
Figure 5-38 431
Renesas Electronics Partners and Customers 431
Figure 5-39 444
Renesas Revenue Summary 444
Figure 5-40 444
Renesas Quarterly Revenue Summary 444
Figure 5-41 446
Renesas Semiconductor Revenue Summary 446
Figure 5-42 447
Renesas Trends in Revenue Summary 447
Figure 5-43 448
Renesas Major Factors Affecting Semiconductor Sales Summary 448
Figure 5-44 449
Renesas Revenue Segment Summary 449
Figure 5-45 450
Renesas Segment and Subsegment Revenue Summary 450
Figure 5-46 451
Renesas Major Factors Affecting Semiconductor Revenue Summary 451
Figure 5-47 455
Schneider Energy Value Chain: 455
Table 5-48 457
Schneider Electric Triggers Innovation For the Smart Grid 457
Figure 5-49 458
Schneider Electric Revenue 458
Figure 5-50 459
Schneider Energy Value Chain 459
Table 5-51 461
Schneider Electric Triggers of the Smart Grid 461
Figure 5-52 462
Invensys Software and Industrial Automation Target Markets 462
Figure 5-53 462
Invensys Energy Controls and Appliance Target Markets 463
Figure 5-54 467
Sensata Technologies Revenue Mix 467
Figure 5-55 471
Silicon Laboratories Revenue 471
Table 5-56 474
Silicon Laboratories Product Functions 474
Table 5-57 475
Silicon Laboratories Product Areas and Description 475
Figure 5-58 479
Zigbee Selected Alliance Members 479
Table 5-59 481
Z-Wave device Benefits 481
Table 5-60 482
Z-Wave Home Control Functions 482

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