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A FOG-BASED EMERGENCY SYSTEM
FOR SMART ENHANCED LIVING ENVIRONMENTS
GUIDED BY:
Asst Prof Kavitha
SEMINAR COORDINATOR:
Asst Prof TharaDevi.M
SUBMITTED BY:
Karthik.M
DR.TTIT
CSE Dept
CONTENTS
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
INTRODUCTION
FOG BASED SYSTEM ARCHITECTURE
USE CASE SCENARIO
EXPERIMENTAL RESULTS
ADVANTAGES & DISADVANTAGES
CONCLUSION
INTRODUCTION
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
Ambient Assisted Living (AAL) remotely monitors health,well-being and
resource consumption.
Cloud Computing and Internet Of Things (IOT) are significant elements of AAL.
Fog computing extends the cloud, shifting resources, services, and data to the
network edge.
Fog empowers the IOT.
Fog uses Cloud in assistive manner.
Ensures resilient and robust operability.
Services formerly deployed in the Cloud are seamlessly deployed in a virtual
fog layer.
Fog-Based System Architecture
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
The virtual fog layer facilitates a
ubiquitous alerting service for users in
critical health conditions requiring
constant surveillance.
Each user is equipped with a
wearable embedded device that
interacts with the positioning service,
providing the system with the user’s
Realtime location.
Cloud-Based Approach
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
A cloud infrastructure is at the top layer of the proposed system.
The cloud assists any fog service lacking sufficient resources, ensuring
uninterrupted operation of the system.
Fog-Based Approach
Distributed devices at the network’s edge host certain services to
minimize network latency and enhance the user experience.
All services that empowers the system are implemented within the fog.
Orchestration
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
Orchestration is a platform that
dynamically manages and
optimizes network and IT
resources
The orchestrator is responsible
for deploying virtual services that
facilitate the infrastructure’s
intelligence.
System Overview
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
Profiling service
Positioning service
Service logic
Location-to-service translation
Software-defined networking
Extreme Edge
Profiling Service
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
It contains user’s current status as safe or unsafe.
A user profile is a set of private information that shouldn’t be accessed
publicly.
Positioning Service
A positioning service periodically obtains the user’s received signal
strength indicator (RSSI).
Once a user is outside the small cell’s radius, a cellular interface in
the embedded device connects to the outdoor cellular network.
Service Logic
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
Inform all possible responders of a given distress situation, the service
first acquires the URI of the nearest public safety answering point (PSAP).
the service also sends all nearby volunteers an alert banner containing
the user’s limited profile and location
Location-to-service translation
The LoST service uses the LoST protocol to find the geographically
nearest emergency response authority
Software Defined Networking
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
The SDN inside the virtual fog layer
acts as a complementary service for the
orchestrator.
It provides services, such as quality-
of-service–specific links, and
connectivity management, such as
creating virtual networks required by
the system.
Extreme Edge
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
Each user carries a discrete embedded
device, integrating various interfaces.
The device periodically collects and
sends the measured RSSI to the
positioning service
The device employs a Bluetooth 4.0
(Bluetooth low energy, or BLE) interface
to use as a beacon.
Use Case Scenario
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
We divide our use case scenario into two phases
In the first phase, the user is within the
household boundaries and classified as safe
The second phase deals with the user stepping
out of the small cell’s radius, thus becoming
unsafe.
Scenario 1
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
Scenario 2
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
Sequence Diagram
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
Full profile banner for the public safety
answering point (PSAP)
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
Experimental Results
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
The first value is the time needed for
the service to acquire the PSAP URI
from the moment the user is classified
as unsafe.
The second value is the time
needed to acquire the list of nearby
volunteers after receiving the PSAP
URI.
The third value is the total time
needed for the system to collect all
the information needed.
Future Enhancements
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
Future work will focus on adding telemedicine functionalities to the proposed
system, providing health measurements such as pulse, blood oxygen level, airflow
(breathing), body temperature, glucose level, and muscle activity to enhance the
patient context and help the system evolve to predict dangerous activities or
health decline.
Conclusion
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A FOG-BASED EMERGENCY SYSTEM FOR
SMART ENHANCED LIVING ENVIRONMENTS
The proposed system can play a significant role to elevate quality of life and
participation for certain groups, such as the elderly.
The system’s functionality relies on the LoST and geolocation services.
International humanitarian organizations, such as the Red Cross, could
provide volunteers trained for emergency situations.
THANK YOU

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Fog Based Emergency System For Smart Enhanced Living Environment

  • 1. A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS GUIDED BY: Asst Prof Kavitha SEMINAR COORDINATOR: Asst Prof TharaDevi.M SUBMITTED BY: Karthik.M DR.TTIT CSE Dept
  • 2. CONTENTS 2 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS INTRODUCTION FOG BASED SYSTEM ARCHITECTURE USE CASE SCENARIO EXPERIMENTAL RESULTS ADVANTAGES & DISADVANTAGES CONCLUSION
  • 3. INTRODUCTION 3 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS Ambient Assisted Living (AAL) remotely monitors health,well-being and resource consumption. Cloud Computing and Internet Of Things (IOT) are significant elements of AAL. Fog computing extends the cloud, shifting resources, services, and data to the network edge. Fog empowers the IOT. Fog uses Cloud in assistive manner. Ensures resilient and robust operability. Services formerly deployed in the Cloud are seamlessly deployed in a virtual fog layer.
  • 4. Fog-Based System Architecture 4 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS The virtual fog layer facilitates a ubiquitous alerting service for users in critical health conditions requiring constant surveillance. Each user is equipped with a wearable embedded device that interacts with the positioning service, providing the system with the user’s Realtime location.
  • 5. Cloud-Based Approach 5 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS A cloud infrastructure is at the top layer of the proposed system. The cloud assists any fog service lacking sufficient resources, ensuring uninterrupted operation of the system. Fog-Based Approach Distributed devices at the network’s edge host certain services to minimize network latency and enhance the user experience. All services that empowers the system are implemented within the fog.
  • 6. Orchestration 6 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS Orchestration is a platform that dynamically manages and optimizes network and IT resources The orchestrator is responsible for deploying virtual services that facilitate the infrastructure’s intelligence.
  • 7. System Overview 7 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS Profiling service Positioning service Service logic Location-to-service translation Software-defined networking Extreme Edge
  • 8. Profiling Service 8 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS It contains user’s current status as safe or unsafe. A user profile is a set of private information that shouldn’t be accessed publicly. Positioning Service A positioning service periodically obtains the user’s received signal strength indicator (RSSI). Once a user is outside the small cell’s radius, a cellular interface in the embedded device connects to the outdoor cellular network.
  • 9. Service Logic 9 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS Inform all possible responders of a given distress situation, the service first acquires the URI of the nearest public safety answering point (PSAP). the service also sends all nearby volunteers an alert banner containing the user’s limited profile and location Location-to-service translation The LoST service uses the LoST protocol to find the geographically nearest emergency response authority
  • 10. Software Defined Networking 10 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS The SDN inside the virtual fog layer acts as a complementary service for the orchestrator. It provides services, such as quality- of-service–specific links, and connectivity management, such as creating virtual networks required by the system.
  • 11. Extreme Edge 11 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS Each user carries a discrete embedded device, integrating various interfaces. The device periodically collects and sends the measured RSSI to the positioning service The device employs a Bluetooth 4.0 (Bluetooth low energy, or BLE) interface to use as a beacon.
  • 12. Use Case Scenario 12 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS We divide our use case scenario into two phases In the first phase, the user is within the household boundaries and classified as safe The second phase deals with the user stepping out of the small cell’s radius, thus becoming unsafe.
  • 13. Scenario 1 13 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS
  • 14. Scenario 2 14 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS
  • 15. Sequence Diagram 15 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS
  • 16. Full profile banner for the public safety answering point (PSAP) 16 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS
  • 17. Experimental Results 17 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS The first value is the time needed for the service to acquire the PSAP URI from the moment the user is classified as unsafe. The second value is the time needed to acquire the list of nearby volunteers after receiving the PSAP URI. The third value is the total time needed for the system to collect all the information needed.
  • 18. Future Enhancements 18 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS Future work will focus on adding telemedicine functionalities to the proposed system, providing health measurements such as pulse, blood oxygen level, airflow (breathing), body temperature, glucose level, and muscle activity to enhance the patient context and help the system evolve to predict dangerous activities or health decline.
  • 19. Conclusion 19 of 20 A FOG-BASED EMERGENCY SYSTEM FOR SMART ENHANCED LIVING ENVIRONMENTS The proposed system can play a significant role to elevate quality of life and participation for certain groups, such as the elderly. The system’s functionality relies on the LoST and geolocation services. International humanitarian organizations, such as the Red Cross, could provide volunteers trained for emergency situations.