Click here to close now.


IBM Cloud Authors: Jason Bloomberg, Liz McMillan, XebiaLabs Blog, Elizabeth White, Carmen Gonzalez

News Feed Item

Wireless Sensor Networks 2012-2022

NEW YORK, Dec. 18, 2012 /PRNewswire/ -- announces that a new market research report is available in its catalogue:

Wireless Sensor Networks 2012-2022

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 over 140 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 40 relevant power source manufacturers. Ten year WSN forecasts are made based on the very latest information.

Wireless Sensor Networks (WSN) - self organising, self healing networks of small "nodes" - have huge potential across industrial, military and many other sectors. While appreciable sales have new been established, major progress depends on standards and achieving twenty year life.

The new IDTechEx report "Wireless Sensor Networks 2012-2022" 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.

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 2032

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 2010-2022

8.1. Background

8.2. History and forecasts

8.2.1. IDTechEx forecasts 2010-2022

8.2.2. IDTechEx forecast for 2032

8.2.3. Market and technology roadmap to 2032

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 2012-2022

Contact Nicolas:
US: (805)-652-2626
Intl: +1 805-652-2626

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@ThingsExpo Stories
WebRTC services have already permeated corporate communications in the form of videoconferencing solutions. However, WebRTC has the potential of going beyond and catalyzing a new class of services providing more than calls with capabilities such as mass-scale real-time media broadcasting, enriched and augmented video, person-to-machine and machine-to-machine communications. In his session at @ThingsExpo, Luis Lopez, CEO of Kurento, will introduce the technologies required for implementing these ideas and some early experiments performed in the Kurento open source software community in areas ...
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome,” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
SYS-CON Events announced today that Dyn, the worldwide leader in Internet Performance, will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. Dyn is a cloud-based Internet Performance company. Dyn helps companies monitor, control, and optimize online infrastructure for an exceptional end-user experience. Through a world-class network and unrivaled, objective intelligence into Internet conditions, Dyn ensures traffic gets delivered faster, safer, and more reliably than ever.
Today air travel is a minefield of delays, hassles and customer disappointment. Airlines struggle to revitalize the experience. GE and M2Mi will demonstrate practical examples of how IoT solutions are helping airlines bring back personalization, reduce trip time and improve reliability. In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect with GE, and Dr. Sarah Cooper, M2Mi's VP Business Development and Engineering, will explore the IoT cloud-based platform technologies driving this change including privacy controls, data transparency and integration of real time context w...
Who are you? How do you introduce yourself? Do you use a name, or do you greet a friend by the last four digits of his social security number? Assuming you don’t, why are we content to associate our identity with 10 random digits assigned by our phone company? Identity is an issue that affects everyone, but as individuals we don’t spend a lot of time thinking about it. In his session at @ThingsExpo, Ben Klang, Founder & President of Mojo Lingo, will discuss the impact of technology on identity. Should we federate, or not? How should identity be secured? Who owns the identity? How is identity ...
The IoT market is on track to hit $7.1 trillion in 2020. The reality is that only a handful of companies are ready for this massive demand. There are a lot of barriers, paint points, traps, and hidden roadblocks. How can we deal with these issues and challenges? The paradigm has changed. Old-style ad-hoc trial-and-error ways will certainly lead you to the dead end. What is mandatory is an overarching and adaptive approach to effectively handle the rapid changes and exponential growth.
The buzz continues for cloud, data analytics and the Internet of Things (IoT) and their collective impact across all industries. But a new conversation is emerging - how do companies use industry disruption and technology enablers to lead in markets undergoing change, uncertainty and ambiguity? Organizations of all sizes need to evolve and transform, often under massive pressure, as industry lines blur and merge and traditional business models are assaulted and turned upside down. In this new data-driven world, marketplaces reign supreme while interoperability, APIs and applications deliver un...
Electric power utilities face relentless pressure on their financial performance, and reducing distribution grid losses is one of the last untapped opportunities to meet their business goals. Combining IoT-enabled sensors and cloud-based data analytics, utilities now are able to find, quantify and reduce losses faster – and with a smaller IT footprint. Solutions exist using Internet-enabled sensors deployed temporarily at strategic locations within the distribution grid to measure actual line loads.
The Internet of Everything is re-shaping technology trends–moving away from “request/response” architecture to an “always-on” Streaming Web where data is in constant motion and secure, reliable communication is an absolute necessity. As more and more THINGS go online, the challenges that developers will need to address will only increase exponentially. In his session at @ThingsExpo, Todd Greene, Founder & CEO of PubNub, will explore the current state of IoT connectivity and review key trends and technology requirements that will drive the Internet of Things from hype to reality.
The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products. With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data shows "less than 10 percent of IoT developers are making enough to support a reasonably sized team....
You have your devices and your data, but what about the rest of your Internet of Things story? Two popular classes of technologies that nicely handle the Big Data analytics for Internet of Things are Apache Hadoop and NoSQL. Hadoop is designed for parallelizing analytical work across many servers and is ideal for the massive data volumes you create with IoT devices. NoSQL databases such as Apache HBase are ideal for storing and retrieving IoT data as “time series data.”
Today’s connected world is moving from devices towards things, what this means is that by using increasingly low cost sensors embedded in devices we can create many new use cases. These span across use cases in cities, vehicles, home, offices, factories, retail environments, worksites, health, logistics, and health. These use cases rely on ubiquitous connectivity and generate massive amounts of data at scale. These technologies enable new business opportunities, ways to optimize and automate, along with new ways to engage with users.
The IoT is upon us, but today’s databases, built on 30-year-old math, require multiple platforms to create a single solution. Data demands of the IoT require Big Data systems that can handle ingest, transactions and analytics concurrently adapting to varied situations as they occur, with speed at scale. In his session at @ThingsExpo, Chad Jones, chief strategy officer at Deep Information Sciences, will look differently at IoT data so enterprises can fully leverage their IoT potential. He’ll share tips on how to speed up business initiatives, harness Big Data and remain one step ahead by apply...
There will be 20 billion IoT devices connected to the Internet soon. What if we could control these devices with our voice, mind, or gestures? What if we could teach these devices how to talk to each other? What if these devices could learn how to interact with us (and each other) to make our lives better? What if Jarvis was real? How can I gain these super powers? In his session at 17th Cloud Expo, Chris Matthieu, co-founder and CTO of Octoblu, will show you!
SYS-CON Events announced today that ProfitBricks, the provider of painless cloud infrastructure, will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. ProfitBricks is the IaaS provider that offers a painless cloud experience for all IT users, with no learning curve. ProfitBricks boasts flexible cloud servers and networking, an integrated Data Center Designer tool for visual control over the cloud and the best price/performance value available. ProfitBricks was named one of the coolest Clo...
As a company adopts a DevOps approach to software development, what are key things that both the Dev and Ops side of the business must keep in mind to ensure effective continuous delivery? In his session at DevOps Summit, Mark Hydar, Head of DevOps, Ericsson TV Platforms, will share best practices and provide helpful tips for Ops teams to adopt an open line of communication with the development side of the house to ensure success between the two sides.
SYS-CON Events announced today that IBM Cloud Data Services has been named “Bronze Sponsor” of SYS-CON's 17th Cloud Expo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. IBM Cloud Data Services offers a portfolio of integrated, best-of-breed cloud data services for developers focused on mobile computing and analytics use cases.
SYS-CON Events announced today that Sandy Carter, IBM General Manager Cloud Ecosystem and Developers, and a Social Business Evangelist, will keynote at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Developing software for the Internet of Things (IoT) comes with its own set of challenges. Security, privacy, and unified standards are a few key issues. In addition, each IoT product is comprised of at least three separate application components: the software embedded in the device, the backend big-data service, and the mobile application for the end user's controls. Each component is developed by a different team, using different technologies and practices, and deployed to a different stack/target - this makes the integration of these separate pipelines and the coordination of software upd...
Mobile messaging has been a popular communication channel for more than 20 years. Finnish engineer Matti Makkonen invented the idea for SMS (Short Message Service) in 1984, making his vision a reality on December 3, 1992 by sending the first message ("Happy Christmas") from a PC to a cell phone. Since then, the technology has evolved immensely, from both a technology standpoint, and in our everyday uses for it. Originally used for person-to-person (P2P) communication, i.e., Sally sends a text message to Betty – mobile messaging now offers tremendous value to businesses for customer and empl...