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| EXECUTIVE SUMMARY AND CONCLUSIONS | |
| 1. | INTRODUCTION |
| 1.1. | Active vs passive RFID |
| 1.1. | Defining features of the three generations of active RFID |
| 1.1. | Typical RTLS tags with 3-10 years battery life. Top left and right WiFi 2.45GHz. Bottom left UWB. Bottom right 2.45GHz. Center ultrasound. |
| 1.2. | MicroStrain WSN node with 55 day battery life |
| 1.2. | Three generations of active RFID |
| 1.3. | Second Generation is RTLS |
| 1.3. | WSN compared with Bluetooth and WiFi in respect of power and data rate. |
| 1.4. | WSN compared with other short range radio in respect of range and data rate typically available |
| 1.4. | Third Generation is WSN |
| 1.4.1. | Managing chaos and imperfection |
| 1.4.2. | The whole is much greater than the parts |
| 1.4.3. | Achilles heel - power |
| 1.4.4. | View from UCLA |
| 1.4.5. | View of Institute of Electronics, Information and Communication Engineers |
| 1.4.6. | View of the International Telecommunications Union |
| 1.4.7. | View of the Kelvin Institute |
| 1.4.8. | Contrast with other short range radio |
| 1.4.9. | A practical proposition |
| 1.4.10. | Mobile phones |
| 1.4.11. | Wireless mesh network structure |
| 1.5. | Three waves of adoption |
| 1.5. | Detailed view of range vs data rate |
| 1.5.2. | Subsuming earlier forms of active RFID? |
| 1.6. | Ubiquitous Sensor Networks (USN) and TIP |
| 1.6. | A basic wireless mesh network |
| 1.7. | WSN backhaul |
| 1.7. | Defining features of the three generations |
| 1.8. | WSN paybacks |
| 1.8. | Diagrammatic illustration of the three waves of adoption of active RFID. |
| 1.9. | Possible area of deployment vs system cost |
| 1.9. | Supply chain of the future |
| 1.10. | Tolerance of faults and unauthorised repositioning vs system cost |
| 1.11. | Tag cost today vs system cost |
| 1.12. | Number of tags per interrogator vs system cost |
| 1.13. | Infrastructure cost vs system cost |
| 1.14. | RTLS progress towards the ultimate supply chain |
| 2. | PHYSICAL STRUCTURE, SOFTWARE AND PROTOCOLS |
| 2.1. | Physical network structure |
| 2.1. | WirelessHART Board of Directors |
| 2.1. | WSN with conventional star network at outside edge to save power |
| 2.2. | More complex networks that are only partially meshed |
| 2.2. | Power management |
| 2.2.1. | Power Management of mesh networks |
| 2.3. | Operating systems and signalling protocols |
| 2.3. | Protocol structure of ZigBee |
| 2.3.1. | 802.15.4 ZigBee |
| 2.3.2. | Protocol structure of ZigBee |
| 2.3.3. | WirelessHART, 6lowplan, ISA100 |
| 2.3.4. | IEEE 802.15.4a |
| 2.3.5. | DecaWave - a new 802.15.4a chip |
| 2.3.6. | TinyOS |
| 2.3.7. | Associated technologies and protocols |
| 2.3.8. | Potential ANSI specification Wireless Systems for Automation |
| 2.4. | Dedicated database systems |
| 2.4. | WirelessHART supports both new wireless field devices and also retrofit of existing HART devices with WirelessHART adapters |
| 2.5. | Two distinct communication paths in the WirelessHART mesh |
| 2.5. | Programming language nesC |
| 2.6. | JAVA |
| 2.6. | DecaWave ScenSor product brief |
| 3. | ACTUAL AND POTENTIAL WSN APPLICATIONS |
| 3.1. | General |
| 3.1. | RFID meets sensor network |
| 3.2. | Some possibilities for WSN in buildings |
| 3.2. | Precursors of WSN |
| 3.3. | Intelligent buildings |
| 3.3. | Mesh network in military applications |
| 3.4. | Requirements for sensor networks in health management of missiles |
| 3.4. | Military and Homeland Security |
| 3.5. | Oil and gas |
| 3.5. | Future fundamental technology development areas for "Health Management of Munitions" in the US Navy |
| 3.6. | In-body WSN for healthcare |
| 3.6. | Healthcare |
| 3.7. | Farming |
| 3.7. | Environment monitoring. |
| 3.8. | Intelligent container |
| 3.8. | Environment monitoring |
| 3.9. | Transport and logistics |
| 3.10. | Aircraft |
| 4. | EXAMPLES OF DEVELOPERS AND THEIR PROJECTS |
| 4.1. | Geographical distribution of WSN practitioners and users |
| 4.1. | 142 WSN suppliers and developers tabulated by country, website and activity |
| 4.1. | Geographical distribution of 141 profiled WSN practitioners |
| 4.2. | Ambient Wireless Infrastructure |
| 4.2. | Comparison of wireless sensor networks |
| 4.2. | Profiles of 142 WSN suppliers and developers |
| 4.3. | Ambient Systems |
| 4.3. | Comparison of traditional Active RFID and Ambient series 3 |
| 4.3. | Ambient SmartPoints - Making objects intelligent |
| 4.3.1. | Introduction |
| 4.3.2. | How Ambient Product Series 3000 works |
| 4.3.3. | The power of local intelligence: Dynamic Event Reporting |
| 4.3.4. | How SmartPoints communicate with the Ambient wireless infrastructure |
| 4.3.5. | Ambient Wireless Infrastructure - The power of wireless mesh networks |
| 4.3.6. | Ambient network protocol stack |
| 4.3.7. | Rapid Reader for high-volume data communication |
| 4.3.8. | Ambient Studio: Managing Ambient wireless networks |
| 4.3.9. | Comparing Ambient to wireless sensor networks (including ZigBee) |
| 4.3.10. | Comparing Ambient to active RFID and Real Time Locating Systems |
| 4.3.11. | Summary and conclusion |
| 4.4. | Arch Rock |
| 4.4. | SmartPoints communicate with the Ambient wireless infrastructure |
| 4.5. | Ambient wireless mesh network |
| 4.5. | Auto-ID Labs Korea/ ITRI |
| 4.6. | Berkeley WEBS |
| 4.6. | Ambient network protocol stack |
| 4.6.1. | Epic |
| 4.6.2. | SPOT - Scalable Power Observation Tool |
| 4.7. | Chungbuk National University Korea |
| 4.7. | Ambient Studio: Managing Ambient wireless networks |
| 4.8. | Active RFID and RTLS compared to Ambient |
| 4.8. | Dust Networks |
| 4.8.1. | Smart Dust components |
| 4.8.2. | Examples of benefits |
| 4.8.3. | KV Pharmaceuticals |
| 4.8.4. | Milford Power |
| 4.8.5. | Fisher BioServices |
| 4.8.6. | PPG |
| 4.8.7. | Wheeling Pittsburgh Steel |
| 4.8.8. | SmartMesh Standards |
| 4.8.9. | US DOE project |
| 4.9. | Crossbow Technology |
| 4.9. | Organisation for promoting USN |
| 4.10. | Research focus at Auto-ID Labs Korea |
| 4.10. | Emerson Process Management |
| 4.10.1. | Grane offshore oil platform |
| 4.11. | GE Global Research |
| 4.11. | Related work on sensors |
| 4.12. | A Framework of In-situ Sensor Data Processing System for Context Awareness |
| 4.12. | Holst Research Centre |
| 4.12.1. | Body area networks for healthcare |
| 4.13. | Intel |
| 4.13. | Smart Dust components |
| 4.14. | Controlled environment |
| 4.14. | Kelvin Institute |
| 4.15. | Laboratory for Assisted Cognition Environments LACE |
| 4.15. | SmartMesh IA-500™ |
| 4.16. | Smart Dust Intelligent Networking System |
| 4.16. | Millennial Net |
| 4.17. | Motorola |
| 4.17. | Holst Centre body area network node |
| 4.18. | New logos of Intel |
| 4.18. | National Information Society Agency |
| 4.18.1. | The vision for Korea |
| 4.18.2. | First trials |
| 4.18.3. | Seawater - oxygen, temperature |
| 4.18.4. | Setting concrete - temperature, humidity |
| 4.18.5. | Greenhouse microclimate - temperature, humidity |
| 4.18.6. | Hospital - blood temperature, drug temp and humidity |
| 4.18.7. | Recent trials |
| 4.18.8. | Program of future work |
| 4.19. | Newtrax Technologies |
| 4.19. | MeshScape® 5.0 "Best of Sensors" Award Winner!" |
| 4.19.1. | Canadian military |
| 4.19.2. | Decentralised architecture |
| 4.19.3. | Inexpensive and expendable sensors |
| 4.20. | Sensicast |
| 4.20. | IAP4300 - Intelligent Access Point for MOTOMESH Duo |
| 4.21. | IAP6300 - Intelligent Access Point for MOTOMESH Solo |
| 4.21. | ScatterWeb |
| 4.21.1. | Hardware modularity |
| 4.21.2. | Flexible routing |
| 4.21.3. | Documented software interfaces |
| 4.21.4. | Energy management |
| 4.21.5. | Structural health monitoring of bridges |
| 4.22. | TelepathX |
| 4.22. | IAP7300 - Intelligent Access Point for MOTOMESH Quattro |
| 4.23. | USN in Korea |
| 4.23. | University of California Los Angeles CENS |
| 4.24. | University of Virginia NEST |
| 4.24. | Concept of USN in Korea |
| 4.24.1. | NEST: Network of embedded systems |
| 4.24.2. | Technical overview |
| 4.24.3. | Programming paradigm |
| 4.24.4. | Feedback control resource management |
| 4.24.5. | Aggregate QoS management and local routing |
| 4.24.6. | Event/landmark addressable communication |
| 4.24.7. | Team formation |
| 4.24.8. | Microcell management |
| 4.24.9. | Local services |
| 4.24.10. | Information caching |
| 4.24.11. | Clock synchronization and group membership |
| 4.24.12. | Distributed control and location services |
| 4.24.13. | Testing tools and monitoring services |
| 4.24.14. | Software release: VigilNet |
| 4.25. | Wavenis and Essensium |
| 4.25. | Timeline of USN development in Korea |
| 4.25.1. | Essensium's WSN product vision |
| 4.25.2. | Fusion of WSN, conventional RFID, RTLS and low power System on Chip integration |
| 4.25.3. | Concurrent skill sets to be applied |
| 4.25.4. | Integration with end customer. |
| 4.26. | Marine environment data collection using USN |
| 4.27. | Fishery monitoring test |
| 4.28. | Marine environment data collection system |
| 4.29. | Concrete structure and sensor installation for field test. |
| 4.30. | Concrete curing history management |
| 4.31. | Microclimate in industrial greenhouses. |
| 4.32. | Field test of monitoring blood and anti-cancer agents |
| 4.33. | Development of the necessary software and hardware |
| 4.34. | SensiNet |
| 4.35. | ScatterWeb system diagram |
| 4.36. | Bridge monitoring |
| 4.37. | NEST node architecture |
| 4.38. | Essensium's WSN product vision |
| 4.39. | Wavenis view of its market for wireless sensing |
| 4.40. | Three skill sets to be applied. |
| 4.41. | Integration with end customer |
| 5. | POWER FOR TAGS |
| 5.1. | Batteries |
| 5.1. | Power supply options for WSN |
| 5.1. | Power requirements of small devices |
| 5.2. | Planar Energy Devices battery |
| 5.2. | Features of the new Planar Energy devices batteries |
| 5.2. | Energy Harvesting |
| 5.2.1. | Photovoltaics |
| 5.2.2. | Other options |
| 5.3. | The new photovoltaic options compared. |
| 5.3. | Field delivery of power |
| 5.3. | Field delivery of power demonstrated by Intel |
| 6. | IMPEDIMENTS TO ROLLOUT OF USN |
| 6.1. | Concerns about privacy and radiation |
| 6.1. | RTLS operational options using electromagnetic emissions or, more rarely, ultrasound. |
| 6.2. | Slowness |
| 6.3. | Competing standards and proprietary systems |
| 6.4. | Lack of education |
| 6.5. | Technology improvement and cost reduction needed |
| 6.5.1. | Error prone |
| 6.5.2. | Scalability |
| 6.5.3. | Sensors |
| 6.5.4. | Locating Position |
| 6.5.5. | Spectrum congestion and handling huge amounts of data |
| 6.5.6. | Optimal routing, global directories, service discovery |
| 6.6. | Niche markets lead to first success |
| 7. | MARKETS 2009-2019 |
| 7.1. | Background |
| 7.1. | WSN and ZigBee node numbers million 2009, 2019, 2029 and market drivers |
| 7.1. | Number of projects by sector in the IDTechEx RFID Knowledgebase. |
| 7.2. | IDTechEx WSN Forecast 2009-2019 with RTLS for comparison |
| 7.2. | Average number of nodes per system 2009, 2019, 2029 |
| 7.2. | Assessments |
| 7.3. | History and forecasts. |
| 7.3. | Number of systems |
| 7.3. | Meter reading nodes number million 2009-2019 |
| 7.3.1. | IDTechEx forecasts 2009-2019 |
| 7.3.2. | IDTechEx forecast for 2029 |
| 7.3.3. | Market and technology roadmap to 2029 |
| 7.3.4. | The overall markets for ZigBee and wireless sensing. |
| 7.4. | WSN node price dollars 2009, 2019, 2029 and cost reduction factors |
| 7.4. | Meter reading nodes unit value dollars 2009-2019 |
| 7.5. | Meter reading nodes total value dollars 2009-2019 |
| 7.5. | WSN node total value $ million 2009, 2019, 2029 |
| 7.6. | Price-volume projections in 2009 for RF devices |
| 7.6. | Other nodes number million 2009-2019 |
| 7.7. | Other nodes unit value dollars 2009-2019 |
| 7.7. | WSN systems and software excluding nodes $ million 2009, 2019, 2029 |
| 7.8. | Total WSN market value $ million 2009, 2019, 2029 |
| 7.8. | Other nodes total value dollars 2009-2019 |
| 7.9. | Total node value billion dollars 2009-2019 |
| 7.10. | WSN systems and software excluding nodes billion dollars 2009-2019 |
| 7.11. | Total WSN market million dollars 2009-2019 |
| 7.12. | WSN and ZigBee node numbers million 2009, 2019, 2029 |
| 7.13. | Average number of nodes per system 2009, 2019, 2029 |
| 7.14. | Number of systems 2009, 2019, 2029 |
| 7.15. | WSN node price dollars 2009, 2019, 2029 |
| 7.16. | WSN node total value $ million 2009, 2019, 2029 |
| 7.17. | Price sensitivity curve for RFID |
| 7.18. | WSN systems and software excluding nodes $ million 2009, 2019, 2029 |
| 7.19. | Total WSN market value $ million 2009, 2019, 2029 |
| 7.20. | WSN adoption roadmap by Crossbow Technologies in 2006 |
| 7.21. | Dynamics of WSN market 2009 to 2029 |
| 7.22. | ZigBee chipset shipment market share in 2009 |
| APPENDIX 1: IDTECHEX PUBLICATIONS AND CONSULTANCY | |
| APPENDIX 2: GLOSSARY | |
| TABLES | |
| FIGURES |
| Pages | 250 |
|---|---|
| Tables | 25 |
| Figures | 119 |
| Forecasts to | 2019 |