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Wireless Sensor Networks (WSN) 2014-2024: Forecasts, Technologies, Players


April 07, 2014 --

NEW YORK, April 7, 2014 /PRNewswire/ -- announces that a new market research report is available in its catalogue:

Wireless Sensor Networks (WSN) 2014-2024: Forecasts, Technologies, Players .html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Wireless_Technology

IDTechEx research has found that the WSN market will grow to $1.8 billion by 2024. These figures refer to WSN defined as wireless mesh networks, i.e. self-healing and self-organising. Wireless Sensor Networks will eventually enable the automatic monitoring of forest fires, avalanches, hurricanes, failure of country wide utility equipment, traffic, hospitals and much more over wide areas, something previously impossible. It has started already with more humble killer applications such as automating meter readings in buildings, and manufacture and process control.

The WSN business is set to become a multibillion dollar activity but only if there is major progress with standards and technology. This techno-marketing report scopes manufacturers and developers and looks closely at the impediments to rollout and how to overcome them. For example, today's power sources often stand in way of the desired 20 year life so the report looks closely at how energy harvesting can help and profiles the relevant power source manufacturers. Ten year WSN forecasts are made based on the very latest information.


This new report draws lessons from many successful installations in the last year. It looks at the complex standards scene with particular focus on WirelessHART that is the key to applications in the process industries in the short and medium term and it shows how the alternative ISA 11.11a has some way to go but may prove useful over a wider field of application and eventually subsume WirelessHART. It examines recent successes of the various backers of ZigBee-related solutions, who is behind the alternatives and how they see the future.

US ahead but Asia catching up

The USA dominates the development and use of WSN partly because of the heavier funding available there. US industry sits astride the computer industry thanks to companies such as Microsoft and IBM and WSN is regarded as a next wave of computing, so US industry is particularly interested to participate. Add to that the fact that the US Military, deeply interested in WSN, spends more than all other military forces combined and creating and funding start-ups is particularly easy in the USA and you can see why the US is ahead at present. IDTechEx has profiled the main players in WSN, and their location by country is shown below.


The challenge of excessive power consumption of these nodes, that have to act as both tags and readers, is addressed. For example, progress has been good in getting the electronics to consume less electricity, by both improved signalling protocols and improved circuitry.

As for batteries, lithium thionyl chloride single-use versions have twenty year life in certain circumstances but, for many applications, energy harvesting supplying rechargeable batteries is more attractive. That said, where is the rechargeable battery guaranteed for 20 years in use? What are the most promising battery technologies coming available in the next ten years? What are the alternatives to batteries? Which of the favourite energy harvesting technologies should be used - photovoltaic, electrodynamic, thermoelectric or piezoelectric? When are they usable in combinations and what are the results so far? Which applicational sectors of WSN have the most potential and what lies in the way for each?

The new report addresses these issues and provides a wealth of analysis of WSN projects and development programmes including the creating of improved WSN components, plus profiles of many suppliers, governments, standards bodies and investors. Benchmark your success and failure and optimise your future approach based on measured evidence. It is all here.
1.1. Replacing wired sensor systems
1.2. What is a mesh network?
1.3. The basic mesh network
1.4. IDTechEx forecasts
1.5. Node price trends.
1.6. IDTechEx forecast for 2034
1.7. Three generations of active RFID
1.8. Why the USA is ahead

1.9. Power for tags
1.10. Trend towards multiple energy harvesting
2.1. Active vs passive RFID
2.2. Three generations of active RFID
2.3. Second Generation is RTLS
2.4. Third Generation is WSN
2.4.1. Managing chaos and imperfection
2.4.2. The whole is much greater than the parts
2.4.3. Achilles heel - power
2.4.4. View from UCLA
2.4.5. View of Institute of Electronics, Information and Communication Engineers
2.4.6. View of the International Telecommunications Union
2.4.7. View of the Kelvin Institute
2.4.8. Contrast with other short range radio
2.4.9. A practical proposition
2.4.10. Wireless mesh network structure
2.5. Three waves of adoption
2.5.1. WSN leads RTLS
2.5.2. Subsuming earlier forms of active RFID?
2.6. Ubiquitous Sensor Networks (USN) and TIP
2.7. Defining features of the three generations
2.8. WSN paybacks
2.9. Supply chain of the future

3.1. Physical network structure
3.2. Power management
3.2.1. Power Management of mesh networks
3.3. Operating systems and signalling protocols
3.3.1. Standards still a problem
3.3.2. WSN as part of overall physical layer standards
3.3.3. Why not use ZigBee IEEE 802.15.4?
3.3.4. Protocol structure of ZigBee
3.3.5. IP for Smart Objects Alliance
3.3.6. WirelessHART, Hart Communication Foundation
3.3.7. ISA100.11a
3.3.8. IEEE 802.15.4a to the rescue?
3.3.9. 6lowpan and TinyOS
3.3.10. Associated technologies and protocols
3.3.11. ISA SP100
3.3.12. ISO/IEC 14543-3-10
3.4. Dedicated database systems
3.5. Programming language nesC / JAVA
4.1. General
4.2. Precursors of WSN
4.3. Intelligent buildings
4.3.1. WSN in buildings
4.3.2. Self-Powered Wireless Keycard Switch Unlocks Hotel Energy Savings
4.4. Military and Homeland Security
4.5. Oil and gas
4.5.1. EnerPak harvesting power management for wireless sensors
4.6. Healthcare
4.7. Farming
4.8. Environment monitoring
4.9. Transport and logistics
4.10. Aircraft

5.1. Geographical distribution of WSN practitioners and users
5.2. Profiles of 142 WSN suppliers and developers
5.3. Ambient Systems
5.3.1. Introduction
5.3.2. How Ambient Product Series 3000 works
5.3.3. The power of local intelligence: Dynamic Event Reporting
5.3.4. How SmartPoints communicate with the Ambient wireless infrastructure
5.3.5. Ambient Wireless Infrastructure - The power of wireless mesh networks
5.3.6. Ambient network protocol stack
5.3.7. Rapid Reader for high-volume data communication
5.3.8. Ambient Studio: Managing Ambient wireless networks
5.3.9. Comparing Ambient to wireless sensor networks (including ZigBee)
5.3.10. Comparing Ambient to active RFID and Real Time Locating Systems
5.4. Arch Rock
5.5. Auto-ID Labs Korea/ ITRI
5.6. Berkeley WEBS
5.6.1. Epic
5.6.2. SPOT - Scalable Power Observation Tool
5.7. Chungbuk National University Korea
5.8. Dust Networks

5.8.1. Smart Dust components
5.8.2. Examples of benefits
5.8.3. KV Pharmaceuticals
5.8.4. Milford Power
5.8.5. Fisher BioServices
5.8.6. PPG
5.8.7. Wheeling Pittsburgh Steel
5.8.8. SmartMesh Standards
5.8.9. US DOE project
5.9. Crossbow Technology
5.10. Emerson Process Management
5.10.1. Grane offshore oil platform
5.11. GE Global Research
5.12. Holst Research Centre IMEC - Cornell University
5.12.1. Body area networks for healthcare
5.13. Intel
5.14. Kelvin Institute
5.15. Laboratory for Assisted Cognition Environments LACE
5.16. Millennial Net
5.17. Motorola
5.18. National Information Society Agency
5.18.1. The vision for Korea

5.18.2. First trials
5.18.3. Seawater - oxygen, temperature
5.18.4. Setting concrete - temperature, humidity
5.18.5. Greenhouse microclimate - temperature, humidity
5.18.6. Hospital - blood temperature, drug temp and humidity
5.18.7. Recent trials
5.18.8. Program of future work
5.19. National Instruments WSN platform
5.20. Newtrax Technologies
5.20.1. Canadian military
5.20.2. Decentralised architecture
5.20.3. Inexpensive and expendable sensors
5.21. TelepathX
5.22. University of California Los Angeles CENS
5.23. University of Virginia NEST
5.23.1. NEST: Network of embedded systems
5.23.2. Technical overview

5.23.3. Programming paradigm
5.23.4. Feedback control resource management
5.23.5. Aggregate QoS management and local routing
5.23.6. Event/landmark addressable communication
5.23.7. Team formation
5.23.8. Microcell management
5.23.9. Local services
5.23.10. Information caching
5.23.11. Clock synchronization and group membership
5.23.12. Distributed control and location services
5.23.13. Testing tools and monitoring services
5.23.14. Software release: VigilNet
5.24. Wavenis and Essensium
5.24.1. Essensium's WSN product vision
5.24.2. Fusion of WSN, conventional RFID, RTLS and low power System on Chip integration
5.24.3. Concurrent skill sets to be applied
5.24.4. Integration with end customer.
6.1. Batteries
6.1.1. Customised and AAA / AA batteries
6.1.2. Planar Energy Devices
6.1.3. AlwaysReady Smart NanoBattery
6.1.4. Energy storage of batteries in standard and laminar formats
6.1.5. Future options for highest energy density
6.2. Laminar fuel cells
6.2.1. Bendable fuel cells: on-chip fuel cell on a flexible polymer substrate
6.3. Energy Harvesting
6.3.1. Energy harvesting with rechargeable batteries

6.3.2. Energy harvesting WSN at SNCF France
6.3.3. Photovoltaics
6.3.4. Battery free energy harvesting
6.3.5. Thermoelectrics in inaccessible places
6.3.6. Other options
6.3.7. Wireless sensor network powered by trees
6.4. Field delivery of power
7.1. Concerns about privacy and radiation
7.2. Reluctance
7.3. Competing standards and proprietary systems
7.4. Lack of education
7.5. Technology improvement and cost reduction needed
7.5.1. Error prone
7.5.2. Scalability
7.5.3. Sensors
7.5.4. Locating Position
7.5.5. Spectrum congestion and handling huge amounts of data
7.5.6. Optimal routing, global directories, service discovery
7.6. Niche markets lead to first success
8. MARKETS 2014-2024
8.1. Background
8.2. History and forecasts
8.2.1. IDTechEx forecasts 2014-2024
8.2.2. IDTechEx forecast for 2034
8.2.3. Market and technology roadmap to 2034

8.2.4. The overall markets for ZigBee and wireless sensing.
9.1. A123 Systems
9.2. Advanced Battery Technologies
9.3. Altairnano
9.4. BASF - Sion
9.4.1. BASF licenses Argonne Lab's cathode material
9.5. BYD
9.5.1. Volkswagen
9.5.2. Car superlatives
9.5.3. Plans for the USA
9.6. CapXX
9.7. Celxpert
9.8. China BAK
9.9. Cymbet
9.10. Duracell
9.11. Electrovaya
9.12. Enerize USA and Fife Batteries UK
9.13. Front Edge
9.14. Furukawa
9.15. Harvard
9.16. Hitachi Maxell
9.17. Holst
9.18. IBM
9.19. Infinite Power Solutions
9.20. Kokam America

9.21. LGChem
9.22. Microsemi
9.23. MIT
9.24. National Renewable
9.25. NEC
9.26. Nippon Chemi-Con Japan
9.27. Oak Ridge
9.28. Panasonic (formerly Matsushita, now owns Sanyo)
9.29. PolyPlus Battery
9.30. Planar
9.31. Renata
9.32. ReVolt
9.33. Saft
9.34. Sandia
9.35. Solicore
9.36. Superlattice
9.37. Tadiran
9.38. Tech Univ Berlin
9.39. Toshiba
9.40. Sony
9.41. Univ Calif
9.42. Virtual Extension

To order this report: Wireless Sensor Networks (WSN) 2014-2024: Forecasts, Technologies, Players .html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Wireless_Technology

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