Rapidly deployable sensor networks for disaster mitigation - ECCE

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21 Νοε 2013 (πριν από 3 χρόνια και 6 μήνες)

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Rapidly deployable disaster
management systems

A. Espinosa, N. Libatique, G. Tangonan, C. Pineda, M. Guico

Electronics, Computer and Communications Engineering Department

Ateneo de Manila University

aespinosa@ateneo.edu

http://ohm.ecce.admu.edu.ph

Wireless Network Research at the
Ateneo de Manila U.


Wireless networks for
disaster management


Wireless sensor
network applications


Wireless Logistics


Mobile ad
-
hoc
networks simulation


SMS network traffic
modeling

Research Partners


Manila Observatory


http://klima.ph


PLDT and SMART


SMART SWEEP schools


Japan Radio Co. (JRC)


Philippine Institute of Volcanology and
Seismology (PHIVOLCS)


Metro Manila Development Authority (MMDA)


University of the Philippines


University of San Carlos

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Acoustic Sensors
RF Power Monitor
ADMU
-

Smart
-

MO
-

JRC Disaster Alert System

World’s First
National Wireless
Rain Measurement
System

cellphone

Microwave Link Power Loss ==> Rain Rate

Real
-
time acoustic rain sensing

network performance monitoring

landslide, flooding alert system

international programs and
teaming

Ground sensors

Aquaculture

Water Management

Energy Management

Wireless Sensor Networks

Wireless Sensors Monitors

Zigbee, Bluetooth, Ad
-
hoc WiFi

RFID, Video and Access Control

Facilities Management / Asset Control

Power Monitoring / Mitigation

Water Asset Management

Disaster Prevention / Recovery

H
2
O Quality

Algae Content

Turbidity

Flood Control

Disasters

Contamination

Peak Energy


Usage

Wireless Logistics

RFIDs

GPS Positioning

Wireless Sensors

WiMax, WiFi Access

GSM Access

Supply Chain Management Software

Authentication and Verification

Deployment Partners


Philippine Airlines Study


Shinsei Development


MMDA


DoH + TDF


Manila Observatory


IMI, Webcast Tech’s, Medical City

Example Research


Tracking Antennas for WiFi


Aviation maintenance systems


Bus Tracking / Databases


Hospital System Design


Tracking of Medicines / Patients


Authenticated Access


Steganography

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Acoustic Sensors
RF Power Monitor
ADMU
-

Smart
-

MO
-

JRC Disaster Alert System

World’s First
National Wireless
Rain Measurement
System

cellphone

Microwave Link Power Loss ==> Rain Rate

Real
-
time acoustic rain sensing

network performance monitoring

landslide, flooding alert system

international programs and
teaming

Ground sensors

Approach


Network itself as the sensor!


Proof
-
of
-
concept experiments


RSL monitoring


Superimposing with standard
weather devices


Collaboration:


National Telcos/Service
Providers: Access to base station
network data


Vendors: Donation of
telecommunications equipment

JULY 05

MASTER
-
SLAVE
RECEIVING
LEVELS

RAIN RATE
IN MM/HR
USING
CASELLA
TIPPING
BUCKET

26 GHz JRC WIPAS

-51
-50
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12:25:55
12:28:48
12:31:41
12:34:34
12:37:26
12:40:19
12:43:12
5815
-51
-50
-49
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10:09:50
10:12:43
10:15:36
10:18:29
10:21:22
10:24:14
Power Transmitted

(dBm)

Time


5.81…
Baseline at 5.815 GHz

RSL at 5.815 GHz in heavy rain

5 GHz Motorola Canopy

Acoustic Sensors

Louie

Daryl

Ted

Paul

Binondo, Manila

Roosevelt, Quezon City

Nangka, Marikina

Marikina

Louie

Sir Paul

Daryl

Ted

20:55

20:57

21:00

20:55

Binondo, Manila

Marikina

Roosevelt, Quezon City

Marikina

Accoustic sensor reading

GSM Signal Monitor


CellTrack software


Typhoon
Milenyo
(Xangsane)


-110
-100
-90
-80
-70
-60
-50
0
10
20
30
40
50
60
70
80
90
100
statistical data of milenyo from three different locations
signal strenths in dBm
frequency count of signal strengths
cavite
quezon city
manila
without rain
Summary


Successfully demonstrated POC of a
hybrid wireless sensor network
architecture for rain rate measurement


26 GHz WIPAS


5 GHz


800 MHz/ 1900 MHz GSM signals


Novel real
-
time acoustic sensor and cross
-
calibration with conventional tipping
buckets

Future work


Scale
-
up to a national sensor network (regional with
partners)


Leverage SMART schools network


Mobile wireless backhaul


Deploy disaster alarm system


Web interface, Real
-
time visualization


SMS queries, Intelligent sensor networks


Measurements with other wireless broadband
technologies (WiMax)


Others: data mining, ground truth for vs satellite data,
microwave propagation modeling on tropical rain, input
parameters for meteorological and hydrologic models

We are very interested in working with asian and french
-
european partners in the
development, deployment and dissemination of technologies for disaster monitoring,
mitigation and management!
Also very interested in the application of wireless
sensor networks and wireless logistics in general.

Citations


N. Libatique, G. Tangonan, R. Gustilo, E. Perri, C. Dy, G. de Leon,
J. Simpas and R. Choy, “A scalable real
-
time wireless rain sensor
network,”

APAM Symposium
, Feb 2007


G. Tangonan, N. Libatique, T. Calasanz, C. Oppus, T. Alano, R.
dela Rama, D. Luna, J. Zamora, L. Cinco, A. Frias and N. Palabrica,
“Real
-
time rain rate monitoring and the simulation of microwave
propagation loss in tropical rain,”
APAM Symposium
, Feb 2007.


A. Espinosa, G. Tangonan, N. Libatique, C. Pineda, R. Llamac, G.
Abrajano, L. Zamora and R. Ching, “Multipath design configuration
for microwave networks using real
-
time rain data,”
8
th

ECE
Conference
, Nov 2007.


G. de Leon, R. Gustilo, N. Libatique, G. Tangonan, C. Pineda, A.
Espinosa, M. Guico and C. Co, “Feasibility and design of wireless
disaster alarm systems using wireless communication networks,”
8
th

ECE Conference
, Nov 2007.

Thank you!

aespinosa@ateneo.edu

http://ohm.ecce.admu.edu.ph