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E-Flow: A communication system for user
notification in dynamic evacuation scenarios
Augusto Morales
Technical University of Madrid

UCAmI 2013
Picture by David Gordillo

Costa Rica · December 2-6
The Evacuation Problem
• The evacuation analysis is a long-studied
problem.
• There are Route modeling systems, decision
support systems, middlewares, WSN and so on.
• There are several gaps of current evacuation
plans regarding the way users perceive the
information and are aware of the situation

2
Building and evacuation plan including
the user perspective
• Nowadays, there many solutions that
indeed permit WSN environments to
provide information in evacuation
situations.
• Nevertheless, there are other
challenges , more related to the
human factor, such as:
– reducing the reaction time of
personnel,
– reducing the interpretation time,
– providing easy interaction mechanisms
and
– Providing dynamic signaling.

3
How to improve the chances
of survival from the user
perpective?
To offer better information awareness!
Users

Safety staff

Emergency Response
Teams

Communication System for Dynamic
evacuation scenarios

Communication
Infraestructure

H2M Communication
Capabilities

M2M
Sensors/Actuators/
Signalling
Our solution is the Eflow
system
The BIG Picture of the E-Flow system
Proxy
MQTT
MQTT-to-Web Brokers

Faculty and
Students

XMPP
Servers

subscribe()
publish()

Local Network
Infraestructure

subscribe()
publish()

Wi-fi
Remote Networks
Mobile
Safety Staff

WSN

Wi-fi
Mobile
Broker

Pub/Sub
Client

Emergency
Response Teams

MQTT
Client

Concentrators 802.15
Sensors
User Awareness

Messaging Capabilities
E-Flow Implementation
Integration of Sensor/Actuators
Design from scratch
- low-power OMAPL127 (DSP+ARM) of TI
- 802.15.4
- PSOC3 of Cypress Semiconductor
- USB battery re-chargable
- Connected with Linux (Montavista)
- Sensors: presence, humidity,
Temperature, luminance
Actuator

Evacuation
signal

Concentrator
MQTT Client

Temperature

Usb

Sensors
Node 4
Humidity

Node 2

Node 1
(Central Node)

Evacuation
signal
Actuator
Temperature

Node 3

Node 5

Sensors
Humidity

Wireless Sensor Network (WSN)
Web-based application

Mobile Application (Android)

- Nodejs. Websockets-MQTT
- Openfire. XMPP
- Mosquitto MQTT broker
- Android (asmack, Alljoyn)
E-Flow Deployment
First Deployment at the Telecommunication School (UPM)
Second Deployment at Hospital de San José (Carabanchel,
Madrid)
Second Deployment at Hospital de San Pastor (Carabanchel,
Madrid)
results
Does the E-flow system provides acceptable
user awareness levels?
End-to-End
MQTT-to-Web using Websockets

Pub/Sub Network
MQTT only

Mean

Median

SD

Mean

Median

SD

a) Fixed
devices

30,977

29,770

1,056

4,740

4,515

0,904

b)
Mobile
devices
c) Proxy
Delay

246,983

250,989

11,893

65,904

66,938

4,111

4.402

4.520

0.830

-

-

-

We have checked the normality of the three samples with the Shapiro-Wilk normality test [23]
and conclude that the three samples came from a Normal distribution (p-value <= 0.05).
User experience and awareness are still acceptable for mobile cases. This
affirmation is based on the work of Jacob et al., which states that delays
less than 1.0 seconds need no special feedback.
summary
Proxy
MQTT
MQTT-to-Web Brokers

Faculty and
Students

XMPP
Servers

subscribe()
publish()

Local Network
Infraestructure

subscribe()
publish()

Wi-fi
Remote Networks
Mobile
Safety Staff

MQTT
Client

WSN

Wi-fi
Mobile
Broker

Concentrators 802.15
Sensors

Pub/Sub
Client

Emergency
Response Teams

E-flow system
provides user awareness
future work
Integrate decision
support system

stronger
experimentation

Better WSN
Integration
E-Flow: A communication system for user
notification in dynamic evacuation scenarios
Augusto Morales
Technical University of Madrid

UCAmI 2013
Picture by David Gordillo

Costa Rica · December 2-6

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UCAMI 2013

  • 1. E-Flow: A communication system for user notification in dynamic evacuation scenarios Augusto Morales Technical University of Madrid UCAmI 2013 Picture by David Gordillo Costa Rica · December 2-6
  • 2. The Evacuation Problem • The evacuation analysis is a long-studied problem. • There are Route modeling systems, decision support systems, middlewares, WSN and so on. • There are several gaps of current evacuation plans regarding the way users perceive the information and are aware of the situation 2
  • 3. Building and evacuation plan including the user perspective • Nowadays, there many solutions that indeed permit WSN environments to provide information in evacuation situations. • Nevertheless, there are other challenges , more related to the human factor, such as: – reducing the reaction time of personnel, – reducing the interpretation time, – providing easy interaction mechanisms and – Providing dynamic signaling. 3
  • 4. How to improve the chances of survival from the user perpective?
  • 5. To offer better information awareness!
  • 6. Users Safety staff Emergency Response Teams Communication System for Dynamic evacuation scenarios Communication Infraestructure H2M Communication Capabilities M2M Sensors/Actuators/ Signalling
  • 7. Our solution is the Eflow system
  • 8. The BIG Picture of the E-Flow system Proxy MQTT MQTT-to-Web Brokers Faculty and Students XMPP Servers subscribe() publish() Local Network Infraestructure subscribe() publish() Wi-fi Remote Networks Mobile Safety Staff WSN Wi-fi Mobile Broker Pub/Sub Client Emergency Response Teams MQTT Client Concentrators 802.15 Sensors
  • 11. Integration of Sensor/Actuators Design from scratch - low-power OMAPL127 (DSP+ARM) of TI - 802.15.4 - PSOC3 of Cypress Semiconductor - USB battery re-chargable - Connected with Linux (Montavista) - Sensors: presence, humidity, Temperature, luminance Actuator Evacuation signal Concentrator MQTT Client Temperature Usb Sensors Node 4 Humidity Node 2 Node 1 (Central Node) Evacuation signal Actuator Temperature Node 3 Node 5 Sensors Humidity Wireless Sensor Network (WSN)
  • 12. Web-based application Mobile Application (Android) - Nodejs. Websockets-MQTT - Openfire. XMPP - Mosquitto MQTT broker - Android (asmack, Alljoyn)
  • 14. First Deployment at the Telecommunication School (UPM)
  • 15. Second Deployment at Hospital de San José (Carabanchel, Madrid)
  • 16. Second Deployment at Hospital de San Pastor (Carabanchel, Madrid)
  • 18. Does the E-flow system provides acceptable user awareness levels? End-to-End MQTT-to-Web using Websockets Pub/Sub Network MQTT only Mean Median SD Mean Median SD a) Fixed devices 30,977 29,770 1,056 4,740 4,515 0,904 b) Mobile devices c) Proxy Delay 246,983 250,989 11,893 65,904 66,938 4,111 4.402 4.520 0.830 - - - We have checked the normality of the three samples with the Shapiro-Wilk normality test [23] and conclude that the three samples came from a Normal distribution (p-value <= 0.05). User experience and awareness are still acceptable for mobile cases. This affirmation is based on the work of Jacob et al., which states that delays less than 1.0 seconds need no special feedback.
  • 20. Proxy MQTT MQTT-to-Web Brokers Faculty and Students XMPP Servers subscribe() publish() Local Network Infraestructure subscribe() publish() Wi-fi Remote Networks Mobile Safety Staff MQTT Client WSN Wi-fi Mobile Broker Concentrators 802.15 Sensors Pub/Sub Client Emergency Response Teams E-flow system provides user awareness
  • 23. E-Flow: A communication system for user notification in dynamic evacuation scenarios Augusto Morales Technical University of Madrid UCAmI 2013 Picture by David Gordillo Costa Rica · December 2-6