Comprehensive Analysis of Wireless Sensor Systems Market

Table of Contents

1. Introduction

• 1.1 What are wireless sensor networks?
• 1.2 Wireless Sensor Networks are not the same as RFID
• 1.3 Towards a Wireless Sensor Network taxonomy
• 1.4 Information flow models
• 1.5 Security in WSNs
• 1.6 Power sources, power harvesting and power scavenging
• 1.7 Data analysis for WSNs
• 1.8 The Wireless Sensor Value Chain
• 1.9 Overview of the report

2. Sensor Network Case Studies

• 2.1 Manufacturing & Industrial Applications
  • 2.1.1 Food Industry Applications
  • 2.1.2 Manufacturing: metal foundry and fabrication
  • 2.1.3 Manufacturing robot control
  • 2.1.4 Manufacturing: semiconductors
  • 2.1.5 Manufacturing: Chemical and Petroleum
• 2.2 Military
  • 2.2.1 The self-healing minefield
  • 2.2.2 Military Vehicle operations and maintenance
  • 2.2.3 Locating snipers
• 2.3 Health Care & Medicine
  • 2.3.1 CodeBlue project
  • 2.3.2 Wireless sensor for monitoring aneurysms
  • 2.3.3 Elder care
  • 2.3.4 Medical research
• 2.4 Environmental control, utility use management
  • 2.4.1 Building, factory physical plant
  • 2.4.2 Submetering
  • 2.4.3 Building hazard detection
• 2.5 Civil Engineering
• 2.6 Precision Agriculture
• 2.7 Materials engineering: Composites
• 2.8 Environment, pollution, & Homeland Security
  • 2.8.1 Environmental monitoring for toxins
  • 2.8.2 Monitoring transport of radioactive materials
  • 2.8.3 The SensorNet program
• 2.9 Transportation and Fleet management
• 2.10 Chapter summary

3. Wireless Sensor Vendor Strategies & Strategic Alliance Mapping

• 3.1 Sensor network platforms
  • 3.1.1 Smart Dust/Dust Networks
  • 3.1.2 Berkeley/Crossbow MICA Motes
  • 3.1.3 Intel Mote - the iMote
  • 3.1.4 Millennial Net
  • 3.1.5 Sensicast Systems
• 3.2 Operating systems
• 3.3 Semiconductors and RF system components
• 3.4 Middleware and application software
• 3.5 System Integrators
• 3.6 Vendor summary
• 3.7 Strategic alliance mapping
• 3.8 Summary

4. Sensor Network market scenarios

• 4.1 Market structure for Wireless Sensor networks
  • 4.1.1 Value chains, value webs and profit pools in WSN markets
  • 4.1.2 Application development in the WSN industry
• 4.2 Market Scenarios
  • 4.2.1 Maximum likelihood scenario: WSN adoption in stages
  • 4.2.2 Optimistic scenario: ideal software segment development
  • 4.2.3 Pessimistic scenario: spectrum congestion & standards conflicts
• 4.3 Summary

5. Sensor network standardization efforts

• 5.1 Air Interface Standards
• 5.2 Sensor interface standards: IEEE 1451
• 5.3 Data networking protocols
• 5.4 The Sensor Network Consortium
• 5.5 Summary

6. Conclusion: The future of wireless sensors

• 6.1 Usability & cost of development: the keys to unleashing the WSN industry
• 6.2 The evolution of the WSN industry profit pool
• 6.3 Report summary & recommendations

Appendix A: ZigBee Alliance Members

• Figure 1-1: A basic wireless sensor node
• Figure 1-2: Comparison of RFID & Wireless Sensor Networks
• Figure 2-1: Sykoinia' s SenSure Portal for food industry applications
• Figure 2-2: A schematic of the ABB wireless control system
• Figure 2-3: Wireless interface options for liquid gas tank monitoring systems
• Figure 2-4: Multipath signals confuse simple triangulation algorithms
• Figure 2-5: Sensors monitor shock waves originating from sniper fire
• Figure 2-6: The EndoSure sensor for abdominal aortic aneurysm patients
• Figure 2-7: A submetering system for a factory
• Figure 2-8: smart pebbles detect chloride threat to bridge structure
• Figure 2-9: A cantilever sensor platform for detecting the presence of toxins
• Figure 2-10: Schematic of radioactivity sensors embedded in highway
• Figure 2-11: A WSN for trucking logistics
• Figure 3-1: A conceptual map of the wireless sensor industry
• Figure 3-2: The ISO 7 layer networking abstraction
• Figure 3-3: A model of wireless sensor industry segments
• Figure 3-4: Crossbow alliances
• Figure 3-5: Dust Networks alliances
• Figure 3-6: Millennial Net alliances
• Figure 3-7: Ember alliances
• Figure 3-8: Atmel' s alliances
• Figure 3-9: Chipcon alliances
• Figure 4-1: Porter' s original value chain diagram
• Figure 4-2: A hypothetical industry profit pool
• Figure 4-3: An approximated profit-pool model for the WSN industry
• Figure 4-4: The effect of WSNs design tool kits on systems integration markets
• Figure 4-5: Technology adoption groups
• Figure 4-6: Adoption groups and the rate of adoption of a new technology
• Figure 4-7: WSN market scenario chart, 2006-2011
• Figure 4-8: WSN unit sales scenario chart, 2006-2011
• Figure 4-9: Average WSN unit costs (including sensors), 2006-2011
• Figure 4-10: WSN market, inexpensive software scenario chart, 2006-2011
• Figure 4-11: WSN market, inexpensive software scenario, unit sales 2006-2011
• Figure 4-12: WSN market, inexpensive software scenario, unit costs 2006-2011
• Figure 4-13: WSN market, spectrum crowding scenario, total sales 2006-2011
• Figure 4-14: WSN market, spectrum crowding scenario, unit sales 2006-2011
• Figure 4-15: WSN market, spectrum crowding scenario, unit costs 2006-2011
• Figure 5-1: The ZigBee/802.14.5 Protocol Stack
• Figure 5-2: Wireless sensor node with plug & play sensor architecture
• Figure 6-1: Trends in the WSN industry profit pool

• Table 4-1: Marketing segment timing for WSN adoption
• Table 4-2: WSN market size, expected scenario
• Table 4-3: WSN market size, lower software cost scenario
• Table 4-4: WSN market size, spectrum crowding scenario