Collaboration Between Wireless Sensor Networks using
Information Exchange
A PhD proposal
Gabriel Martins Dias
Network Tech...
Outline

1

Why?

2

How?

3

When?

Gabriel Martins Dias

PhD Proposal
Why?

Motivation

Motivation

Life expectancy: 3-5 years

Life expectancy: 6-10 years

Synergy

Gabriel Martins Dias

PhD ...
Why?

Motivation

Motivation

A wireless sensor node
Gabriel Martins Dias

PhD Proposal
Why?

Motivation

Motivation

A Wireless Sensor Network (WSN)
Gabriel Martins Dias

PhD Proposal
Why?

Motivation

Motivation

Many WSNs
Gabriel Martins Dias

PhD Proposal
Why?

Scenarios

Scenarios
Fire detection

Gabriel Martins Dias

PhD Proposal
Why?

Scenarios

Scenarios
Road traffic and pollution

Gabriel Martins Dias

PhD Proposal
Why?

Scenarios

Scenarios

• Fire detection
• Road traffic and pollution
• Intelligent transportation systems
• Snow monito...
Why?

Challenges

Challenges

• To join WSNs that were not necessarily built to work together
• To predict events instead ...
Why?

Challenges

Outline

1

Why?
Motivation
Scenarios
Challenges

2

How?

3

When?

Gabriel Martins Dias

PhD Proposal
How?

Outline

1

Why?

2

How?

3

When?

Gabriel Martins Dias

PhD Proposal
How?

Proposed Architecture

Proposed Architecture

Multiple WSNs

Gabriel Martins Dias

PhD Proposal
How?

Proposed Architecture

Proposed Architecture

Multiple WSNs covering different areas

Gabriel Martins Dias

PhD Propo...
How?

Proposed Architecture

Proposed Architecture

Enhanced Gateways (EGs)

Gabriel Martins Dias

PhD Proposal
How?

Proposed Architecture

Proposed Architecture

Communication between EGs

Gabriel Martins Dias

PhD Proposal
How?

Autonomic Architecture

Existing Work

• Architectures
• Ambient Networks
• Observer Networks
• Autonomic Computing
...
How?

Autonomic Architecture

Autonomic Computing

Gabriel Martins Dias

PhD Proposal
How?

Autonomic Architecture

Monitor

Gabriel Martins Dias

PhD Proposal
How?

Autonomic Architecture

Monitor

Gabriel Martins Dias

PhD Proposal
How?

Autonomic Architecture

Analyze

“A person that has only one watch always knows the time.
The one that has two watch...
How?

Autonomic Architecture

Analyze

• Trustworthiness
• Inference
• Threshold-based
• Pattern-matching

Gabriel Martins...
How?

Autonomic Architecture

Plan

• Quality of measurements
• Network requirements
• Event-driven
• Query-driven
• Conti...
How?

Autonomic Architecture

Schedule

• When apply the changes?

Gabriel Martins Dias

PhD Proposal
How?

Contributions

Contributions

• New paradigm for collaboration in WSNs
• Data mining
• Data filtering
• Data correlat...
How?

Performance Evaluation

Performance Evaluation
Real data

Source: Machine Learning Group at the Universit Libre de B...
How?

Performance Evaluation

Performance Evaluation
Real data

Node #1: Temperature and relative humidity
Gabriel Martins...
How?

Performance Evaluation

Performance Evaluation
Scenario

General scenario

Gabriel Martins Dias

PhD Proposal
How?

Performance Evaluation

Performance Evaluation
Scenario

General scenario with only 2 WSNs

Gabriel Martins Dias

Ph...
How?

Performance Evaluation

Performance Evaluation
Scenario

General scenario with only 1 WSN using external information...
How?

Performance Evaluation

Performance Evaluation
Scenario

Simulated scenario
Gabriel Martins Dias

PhD Proposal
How?

Performance Evaluation

Performance Evaluation
Tests

Flowchart in EG (B)

Gabriel Martins Dias

PhD Proposal
How?

Performance Evaluation

Tests
Results

• 2 Plans

Number of active nodes

Gabriel Martins Dias

Interval between tra...
How?

Performance Evaluation

Scenario
Changing active nodes

Plan A - half of the nodes
Gabriel Martins Dias

PhD Proposa...
How?

Performance Evaluation

Scenario
Changing active nodes

Plan B - half of the nodes
Gabriel Martins Dias

PhD Proposa...
How?

Performance Evaluation

Scenario
Changing active nodes

Plan C - all the nodes
Gabriel Martins Dias

PhD Proposal
How?

Performance Evaluation

Tests
Results

• 2 Plans

Number of active nodes

Gabriel Martins Dias

Interval between tra...
How?

Performance Evaluation

Outline

1

Why?

2

How?
Proposed Architecture
Existing Work
Autonomic Architecture
Contrib...
When?

Outline

1

Why?

2

How?

3

When?

Gabriel Martins Dias

PhD Proposal
When?

Next Steps

Next Steps

Make simulations with multiple interconnected WSNs - 2 months
Gabriel Martins Dias

PhD Pro...
When?

Next Steps

Next Steps

Data mining - 4 months
Gabriel Martins Dias

PhD Proposal
When?

Next Steps

Next Steps

Quality of Measurements - 4 months
Gabriel Martins Dias

PhD Proposal
When?

Next Steps

Next Steps

Data filtering - 3 months
Gabriel Martins Dias

PhD Proposal
When?

Next Steps

Next Steps

Plan scheduling - 1 month
Gabriel Martins Dias

PhD Proposal
When?

Next Steps

Next Steps

Complete results from simulations - 2 weeks
Gabriel Martins Dias

PhD Proposal
When?

Next Steps

Next Steps

Details about the architecture outside the WSNs - 2 weeks
Gabriel Martins Dias

PhD Proposa...
When?

Next Steps

Next Steps

Real world implementation - 5 months
Gabriel Martins Dias

PhD Proposal
When?

Next Steps

Next Steps

Thesis publication - 3 months
Gabriel Martins Dias

PhD Proposal
When?

Next Steps

Outline
1

Why?
Motivation
Scenarios
Challenges

2

How?
Proposed Architecture
Existing Work
Autonomic ...
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Collaboration Between Wireless Sensor Networks using Information Exchange

  1. 1. Collaboration Between Wireless Sensor Networks using Information Exchange A PhD proposal Gabriel Martins Dias Network Technologies and Strategies Research Group Department of Information and Communication Technologies September, 2013 Gabriel Martins Dias PhD Proposal
  2. 2. Outline 1 Why? 2 How? 3 When? Gabriel Martins Dias PhD Proposal
  3. 3. Why? Motivation Motivation Life expectancy: 3-5 years Life expectancy: 6-10 years Synergy Gabriel Martins Dias PhD Proposal
  4. 4. Why? Motivation Motivation A wireless sensor node Gabriel Martins Dias PhD Proposal
  5. 5. Why? Motivation Motivation A Wireless Sensor Network (WSN) Gabriel Martins Dias PhD Proposal
  6. 6. Why? Motivation Motivation Many WSNs Gabriel Martins Dias PhD Proposal
  7. 7. Why? Scenarios Scenarios Fire detection Gabriel Martins Dias PhD Proposal
  8. 8. Why? Scenarios Scenarios Road traffic and pollution Gabriel Martins Dias PhD Proposal
  9. 9. Why? Scenarios Scenarios • Fire detection • Road traffic and pollution • Intelligent transportation systems • Snow monitoring • River monitoring • Smart animal farming • Structural health monitoring network • Detection of liquid in a room • Ultraviolet radiation monitors • ... Gabriel Martins Dias PhD Proposal
  10. 10. Why? Challenges Challenges • To join WSNs that were not necessarily built to work together • To predict events instead of detect them • To increase the WSNs’ lifetime • To create a self-managing architecture Gabriel Martins Dias PhD Proposal
  11. 11. Why? Challenges Outline 1 Why? Motivation Scenarios Challenges 2 How? 3 When? Gabriel Martins Dias PhD Proposal
  12. 12. How? Outline 1 Why? 2 How? 3 When? Gabriel Martins Dias PhD Proposal
  13. 13. How? Proposed Architecture Proposed Architecture Multiple WSNs Gabriel Martins Dias PhD Proposal
  14. 14. How? Proposed Architecture Proposed Architecture Multiple WSNs covering different areas Gabriel Martins Dias PhD Proposal
  15. 15. How? Proposed Architecture Proposed Architecture Enhanced Gateways (EGs) Gabriel Martins Dias PhD Proposal
  16. 16. How? Proposed Architecture Proposed Architecture Communication between EGs Gabriel Martins Dias PhD Proposal
  17. 17. How? Autonomic Architecture Existing Work • Architectures • Ambient Networks • Observer Networks • Autonomic Computing • Collaboration • Inter-node communication • Self-organization • Resource sharing • Cooperation • Exporting information • Inter-WSNs Gabriel Martins Dias PhD Proposal
  18. 18. How? Autonomic Architecture Autonomic Computing Gabriel Martins Dias PhD Proposal
  19. 19. How? Autonomic Architecture Monitor Gabriel Martins Dias PhD Proposal
  20. 20. How? Autonomic Architecture Monitor Gabriel Martins Dias PhD Proposal
  21. 21. How? Autonomic Architecture Analyze “A person that has only one watch always knows the time. The one that has two watches does not.” — My Dad Gabriel Martins Dias PhD Proposal
  22. 22. How? Autonomic Architecture Analyze • Trustworthiness • Inference • Threshold-based • Pattern-matching Gabriel Martins Dias PhD Proposal
  23. 23. How? Autonomic Architecture Plan • Quality of measurements • Network requirements • Event-driven • Query-driven • Continuous • Hybrid Gabriel Martins Dias PhD Proposal
  24. 24. How? Autonomic Architecture Schedule • When apply the changes? Gabriel Martins Dias PhD Proposal
  25. 25. How? Contributions Contributions • New paradigm for collaboration in WSNs • Data mining • Data filtering • Data correlation • Quality of measurements • Metrics • Plan evaluation Gabriel Martins Dias PhD Proposal
  26. 26. How? Performance Evaluation Performance Evaluation Real data Source: Machine Learning Group at the Universit Libre de Bruxelles Gabriel Martins Dias PhD Proposal
  27. 27. How? Performance Evaluation Performance Evaluation Real data Node #1: Temperature and relative humidity Gabriel Martins Dias PhD Proposal
  28. 28. How? Performance Evaluation Performance Evaluation Scenario General scenario Gabriel Martins Dias PhD Proposal
  29. 29. How? Performance Evaluation Performance Evaluation Scenario General scenario with only 2 WSNs Gabriel Martins Dias PhD Proposal
  30. 30. How? Performance Evaluation Performance Evaluation Scenario General scenario with only 1 WSN using external information Gabriel Martins Dias PhD Proposal
  31. 31. How? Performance Evaluation Performance Evaluation Scenario Simulated scenario Gabriel Martins Dias PhD Proposal
  32. 32. How? Performance Evaluation Performance Evaluation Tests Flowchart in EG (B) Gabriel Martins Dias PhD Proposal
  33. 33. How? Performance Evaluation Tests Results • 2 Plans Number of active nodes Gabriel Martins Dias Interval between transmissions PhD Proposal
  34. 34. How? Performance Evaluation Scenario Changing active nodes Plan A - half of the nodes Gabriel Martins Dias PhD Proposal
  35. 35. How? Performance Evaluation Scenario Changing active nodes Plan B - half of the nodes Gabriel Martins Dias PhD Proposal
  36. 36. How? Performance Evaluation Scenario Changing active nodes Plan C - all the nodes Gabriel Martins Dias PhD Proposal
  37. 37. How? Performance Evaluation Tests Results • 2 Plans Number of active nodes Gabriel Martins Dias Interval between transmissions PhD Proposal
  38. 38. How? Performance Evaluation Outline 1 Why? 2 How? Proposed Architecture Existing Work Autonomic Architecture Contributions Performance Evaluation 3 When? Gabriel Martins Dias PhD Proposal
  39. 39. When? Outline 1 Why? 2 How? 3 When? Gabriel Martins Dias PhD Proposal
  40. 40. When? Next Steps Next Steps Make simulations with multiple interconnected WSNs - 2 months Gabriel Martins Dias PhD Proposal
  41. 41. When? Next Steps Next Steps Data mining - 4 months Gabriel Martins Dias PhD Proposal
  42. 42. When? Next Steps Next Steps Quality of Measurements - 4 months Gabriel Martins Dias PhD Proposal
  43. 43. When? Next Steps Next Steps Data filtering - 3 months Gabriel Martins Dias PhD Proposal
  44. 44. When? Next Steps Next Steps Plan scheduling - 1 month Gabriel Martins Dias PhD Proposal
  45. 45. When? Next Steps Next Steps Complete results from simulations - 2 weeks Gabriel Martins Dias PhD Proposal
  46. 46. When? Next Steps Next Steps Details about the architecture outside the WSNs - 2 weeks Gabriel Martins Dias PhD Proposal
  47. 47. When? Next Steps Next Steps Real world implementation - 5 months Gabriel Martins Dias PhD Proposal
  48. 48. When? Next Steps Next Steps Thesis publication - 3 months Gabriel Martins Dias PhD Proposal
  49. 49. When? Next Steps Outline 1 Why? Motivation Scenarios Challenges 2 How? Proposed Architecture Existing Work Autonomic Architecture Contributions Performance Evaluation 3 When? Next Steps Gabriel Martins Dias PhD Proposal

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