Rapidly deployable disaster management systems

A. Espinosa, N. Libatique, G. Tangonan, C. Pineda, M. GuicoElectronics, Computer and Communications Engineering Department

Ateneo de Manila Universityaespinosa@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

Emergency sensingnetwork

WRBS

BS

BS

BS

Monitoring Network

Tipping bucket Power monitorWireless-enabled sensors Acoustic Sensors RF Power Monitor

ADMU - Smart - MO- JRC Disaster Alert SystemWorld’s First

National Wireless Rain Measurement

System

cellphone

Microwave Link Power Loss ==> Rain Rate

Real-time acoustic rain sensing

network performance monitoringlandslide, flooding alert systeminternational programs and teaming Ground sensors

Aquaculture

Water Management Energy Management

Wireless Sensor Networks

Wireless Sensors MonitorsZigbee, Bluetooth, Ad-hoc WiFiRFID, Video and Access Control

Facilities Management / Asset ControlPower Monitoring / MitigationWater Asset ManagementDisaster Prevention / Recovery

H2O QualityAlgae Content

Turbidity

Flood ControlDisasters

ContaminationPeak Energy

Usage

Wireless Logistics

RFIDsGPS PositioningWireless SensorsWiMax, WiFi AccessGSM AccessSupply Chain Management SoftwareAuthentication 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

Emergency sensingnetwork

WRBS

BS

BS

BS

Monitoring Network

Tipping bucket Power monitorWireless-enabled sensors Acoustic Sensors RF Power Monitor

ADMU - Smart - MO- JRC Disaster Alert SystemWorld’s First

National Wireless Rain Measurement

System

cellphone

Microwave Link Power Loss ==> Rain Rate

Real-time acoustic rain sensing

network performance monitoringlandslide, flooding alert systeminternational 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 05MASTER-

SLAVE RECEIVING LEVELS

RAIN RATE IN MM/HR USING

CASELLA TIPPING BUCKET

26 GHz JRC WIPAS

Baseline at 5.815 GHz

RSL at 5.815 GHz in heavy rain

5 GHz Motorola Canopy

Acoustic Sensors

12.2 km

10.1 km

7.3

km

4.5

km

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 -500

10

20

30

40

50

60

70

80

90

100statistical data of milenyo from three different locations

signal strenths in dBm

frequency c

ount

of

sig

nal str

ength

s

cavite

quezon citymanila

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,” 8th 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,” 8th ECE Conference, Nov 2007.

Thank you!

aespinosa@ateneo.edu

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