With more than one hundred million Wireless Sensor Network (WSN) nodes to be deployed over the next five years, the quest for improved power sources is intensifying.
Advances such as mesh networking enables large scale, self-configuring wireless sensor networks. The power needs of these wireless sensors is the current biggest impediment that keeps them from becoming completely autonomous, forcing them to be either tethered to an external power source or have lifecycles that are curtailed by batteries.
Perpetual power solutions such as energy harvesting, super capacitors and rechargeable thin-film batteries promise to reduce labor costs and the environmental impact from disposing millions of batteries. ON World calculates that the labor cost from changing batteries for wireless sensors deployed worldwide in the top six markets between 2006 and 2015 (assuming no harvested energy is used) will be worth $1.1 billion.
Companies such as AdaptivEnergy, Cymbet, EnOcean, KCF, Konarka, and Perpetuum are developing perpetual power solutions for enabling truly autonomous sensing and control devices.
In this report, we present and analyze the market opportunity for perpetual power solutions for Wireless Sensor Networking (WSN). It includes 5-year forecasts, return on investment data, in-depth competitor analysis, and dozens of scenarios using ON World's wsnSimulator™ that illustrates the market potential for perpetual power solutions as well as simulating the power and performance of popular WSN radios/protocols such as 802.15.4, TSMP, Sampled Listening, Low Power Routing/Sleepy Mesh, XMesh, ZigBee, WiFi, Z-Wave, and proprietary.
This report is based on over 400 surveys including the following:
Vendors & Experts
77 WSN vendors, industry experts, and power source manufacturers.
326 end users in industrial, building, professional installer, and agriculture markets.
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Based on over 400 interviews with vendors, suppliers, and end users, this report includes the following:
- Market forces, drivers, and inhibitors analysis for wireless sensor networks and energy harvesting in each of the following target markets: Industrial, Commercial buildings, Residential, Medical, Structural, Agriculture
- Extensive technology forces evaluation on energy harvesting, storage alternatives, and challenges and opportunities for combining these with wireless sensor network systems.
- Energy harvesting power sources: Solar, Thermal, Inductive/Electromagnetic, and Piezoelectric
- Dozens of power and performance scenarios using ON World’s proprietary wsnSimulator™ tool comparing radios/protocols such as CSMA, TSMP, Sampled Listening, ZigBee, Z-Wave, WiFi, and EnOcean.
Market Size Forecasts:
For each of six target market:
- WSN Units by power source (batteries vs. AC) (2007 to 2012)
- WSN Units for self-powered nodes (batteries vs. energy harvesting) (2007 to 2012)
- Labor costs from changing batteries (2006-2015)
- 326 end users in industrial, building, professional installer, and agriculture
- 47 WSN vendors and industry experts on current power source needs and energy harvesting awareness, costs, and most likely target markets
- Recent interviews with 30+ WSN companies and power source manufacturers
- In-depth analysis on 31 companies in the following product segments:
- Power Sources
- WSN Systems
- Fundamentals: business model, development phase, offerings, partners, financials, targeted applications
- Disruption & sustainability evaluation
- Technology dynamics: radios, protocols, wireless integration, power management, intellectual property
About ON World's wsnSimulator™:
One of the challenges that researchers and developers have with WSN is testing the enormous amount and variations of wireless sensing components and modules that make up a WSN node. In order to better analyze the power and performance needs of individual nodes in specific applications, ON World created the wsnSimulator™. This simulator interchanges WSN node hardware components, payloads, processors, sensors, harvesters, and batteries while factoring in unique operational parameters for each of the fore mentioned parts.
The wsnSimulator™ runs these virtual hardware nodes within one of several WSN networks such as CSMA, TSMP, Sampled Listening, ZigBee, Z-Wave, WiFi, Bluetooth, and EnOcean. The wsnSimulator™ factors in neighborhood nodes and overlapping networks to analyze transmission collisions, latency, and dropped packets among other network factors. With this tool we have the capability of simulating advanced multi- thousand node WSN deployments as well as single node controllers, gateways, and end nodes.
Vendors & Experts:
ON World surveyed more than 400 companies and industry experts for this report. Organizations mentioned or profiled in this report include the following:
Energy Harvesting Technologies: AdaptivEnergy, Advanced Cerametrics, Advanced Linear Devices, Ambient Micro, AmbioSystems LLC, Clare, Inc., EnOcean, Ferro Solutions, KCF, Konarka, Technologies, Micropelt, Mide, Noliac, Perpetua, Perpetuum, Thermo Life...
Batteries/Thin film/Fuel Cells: Akermin, Cymbet, Excellatron, Front Edge, Infinite Power Solutions, Mphase, Oak Ridge Micro-Energy, Planar Energy Devices, Tadiran ...
Componets and Modules: Analog Devices, Atheros, Coronis Systems, Dust Networks, Ember, Freescale, G2 Microsystems, GainSpan, GreenPeak, Jennic, Nanotron, Nordic Semiconductor, RFM, Texas Instruments, Zensys...
Perpetually Powered Wireless Sensor Systems: ABB, Crossbow, MicroStrain, GE Energy, Rockwell, Wireless Industrial Technologies (WIT)...
Research Organizations: Fraunhofer Institute, Georgia Institue of Technology, Holst Centre, IMEC, Imperial College of London, MIT, UC Berkeley, University of Neuchatel, University of Southampton, WIMS ...