Rechargeable Sensor Networks

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Rechargeable Sensor Networks

• Ilhan Akbas and Volodymyr Prymma
• University of Central Florida
• Orlando, FL

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Overview

• Introduction
• Rechargeable Sensor Network
• Testing Scenarios
• Simulation Results
• Demonstration
• Conclusion

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Introduction

• Miniaturization
• Smaller sensors
• Lower energy consumption
• Micro-sensors
• Very small devices
• Limited functionality/resources
• Rechargeable

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Introduction

• Applications
• Various military operations
• Natural disaster monitoring/recovery
• Rescue operations
• Simple environment monitoring
• Need for autonomous architecture

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Introduction

• ANSWER
• AutoNomouS netWorked sEnsoR system
• Developed by Dr. Olariou et al.
• Self-organizing architecture
• Our contribution
• Addition of rechargeable sensors
• Performance evaluation rechargeable vs.
  non-rechargeable

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Rechargeable Sensor Network

• ANSWER Architecture
• Large number of micro-sensors
• A number of AFNs
• Single mobile node
• Unique coordinate system

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Rechargeable Sensor Network

• Dynamic coordinate system
• Concentric coronas
• Centered at training agent (TA)
• Equiangular wedges
• Self-organization
• Easy clustering

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Rechargeable Sensor Network
Dynamic coordinate system
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Rechargeable Sensor Network

• Communication schemes

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Rechargeable Sensor Network

• Coloring scheme
• Coronas are further subdivided
• Each node has a specific color
• Colors are assigned based on signal strength
• Allows for activation of nodes in subsets

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Rechargeable Sensor Network

• Coloring scheme

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Rechargeable Sensor Network

• Micro-sensor states

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Testing Scenarios

• Scenario 1
• One stationary threat node
• Positioned directly in the path of mobile node
• 200 micro-sensor nodes
• 6 AFNs
• Mobile node
• Move from top left corner to bottom right

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Testing Scenarios

• Scenario 2
• Ten stationary threat nodes
• Positioned randomly in the vicinity of the
  network
• 200 micro-sensor nodes
• 6 AFNs
• Mobile node
• Move from top left corner to bottom right

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Testing Scenarios

• Scenario 3
• One mobile threat node
• Set to move from top right corner to bottom left
• Intersects the path of mobile node
• 200 micro-sensor nodes
• 6 AFNs
• Mobile node
• Move from top left corner to bottom right

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Testing Scenarios

• Scenario 4
• Ten mobile threat nodes
• Set to move randomly
• 200 micro-sensor nodes
• 6 AFNs
• Mobile node
• Move from top left corner to bottom right

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Simulation Results

• Metrics
• Avg. failures vs. number of nodes
• Avg. failures vs. mobility
• Avg. energy consumption vs. number of nodes
• Avg. energy consumption vs. mobility
• Comparisons
• Rechargeable vs. non-rechargeable nodes

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Simulation Results

• Avg. failures vs. number of nodes

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Simulation Results

• Avg. failures vs. mobility

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Simulation Results

• Avg. energy consumption vs. number of nodes

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Simulation Results

• Avg. energy consumption vs. mobility

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Demonstration

• YAES Screenshot

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Conclusion

• ANSWER
• Provides reliable architecture
• Better results with dense network
• All scenarios had similar results
• Rechargeable vs. Non-Rechargeable
• Rechargeable implementation has better
  performance
• Fewer failures
• Less energy consumption

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Questions?