a sensor-cyber network testbed for plume detection, identification, and tracking

A Sensor-cyber Network Testbed for Plume Detection, Identification, and Tracking Yong Yang, I-Hong Hou, and Jennifer C. Hou Illinois Center fo Wireless Systems Introduction Introduction • Under a national SensorNet initiative, we have carried out prototype deployments of detection, identification, and tracking sensor-cyber networks (DITSCN) at diverse sites (including Washington D.C., Port of Memphis, etc) to detect chemical, radiation, and biological releases and attacks. • DITSCN combines various modalities of sensors and cyber networks – Sensors network provides information about the physical space – Cyber network provides storage and computational resources to predict plume propagation based on realistic dispersion models – Decisions regarding future sensing and communications are made in cyber network and carried out in the physical space 1. Convergence between physical and cyber spaces – Effectively gather information about the physical space – Communicate most useful data to the cyber space given bandwidth, delay and signal attenuation constraints – Enable the cyber space to task and activate sensors to collect high-quality data 2. Acknowledge the existence of uncertainty and enable decision making processes to deal with uncertainty in a robust fashion – Corporate physical environment: terrain elevation, land cover, and meteorological conditions – adequate modeling of physical phenomena (e.g., plumes with respect to the absorption, propagation, and dispersion coefficients). 3. Support for deeply embedded operations • Ability to integrate system components in an open, plug-and-play manner, through the use of open data, control and communication interfaces DITSCN Architecture DITSCN Architecture Research Tasks Research Tasks Multi-hop communication Control Center Physical Space Sensors … SensorNet Node Actuato r Cyber Space Cyber Space • Realistic SCIPUFF plume dispersion model support for analysis and rendering of plume propagation in a real terrain • Dynamically update plume propagation with variations in wind speed or direction • Dynamically update the topology and routes in the multi-hop wireless sensor network • Tasking mobile sensors (ER-1 robots) to collect high-quality and relevant data • Dynamically update the positions of ER-1 robots • ER-1 Robots supporting autonomous and programmable movement are guided by the cyber space, using commands sent over 802.11x wireless network. • Tasking enables sensor mobility to increase the coverage of a high-risk location. RFTrax RAD Sensor to detect the presence and intensity of the plume source WMS Wind Sensor to monitor the wind speed and direction Route r M o d e m Serial Interfac e Power Supplie s Process or Antenn a Fan Plume Source SensorNet Node • Sensor data communicated through RS- 485 or 802.11x interfaces to the Sensor-Net Node • Adapted IEEE 1451 interface to configure sensor at runtime. TEDS STIM 1451.2 Stubs (Web) Server Control Auth Data Services Legacy Codes Data Management & Storage Configuration Sensors Interface Comm. Mode Control E.g., Sprint Session Other Services for RDC & external users TEDS TEDS STIM Legacy Codes USB Mux Serial Ethernet Link options: Dialup/PCS/ 802.11 Wired etc. 1451.1 NCAP Sensors SensorNet Node Software Component ER-1 Robots •Multi-hop communicatio n over 802.11x wireless network • AODV routing Physical Space Acknowledgements and Sponsorship: DOD, DHS, DOE Collaborators: Frank DeNap ‡ , Nageswara S. Rao ‡ , Mallikarjun Shankar ‡ , and David K. Y. Yau * ( ‡ Oak Ridge National Laboratory and * Purdue University)

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A Sensor-cyber Network Testbed for Plume Detection, Identification, and Tracking Yong Yang , I-Hong Hou, and Jennifer C. Hou. Illinois Center for Wireless Systems. Physical Space. Cyber Space. SensorNet Node. Multi-hop communication. Introduction. DITSCN Architecture. Research Tasks. - PowerPoint PPT Presentation

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A Sensor-cyber Network Testbed for Plume Detection, Identification, and Tracking

Yong Yang, I-Hong Hou, and Jennifer C. Hou

Illinois Center forWireless Systems

IntroductionIntroduction

• Under a national SensorNet initiative, we have carried out prototype deployments of detection, identification, and tracking sensor-cyber networks (DITSCN) at diverse sites (including Washington D.C., Port of Memphis, etc) to detect chemical, radiation, and biological releases and attacks.

• DITSCN combines various modalities of sensors and cyber networks

– Sensors network provides information about the physical space– Cyber network provides storage and computational resources to predict plume propagation based on realistic dispersion models– Decisions regarding future sensing and communications are made in cyber network and carried out in the physical space

1. Convergence between physical and cyber spaces– Effectively gather information about the

physical space– Communicate most useful data to the cyber

space given bandwidth, delay and signal attenuation constraints

– Enable the cyber space to task and activate sensors to collect high-quality data

2. Acknowledge the existence of uncertainty and enable decision making processes to deal with uncertainty in a robust fashion– Corporate physical environment: terrain

elevation, land cover, and meteorological conditions

– adequate modeling of physical phenomena (e.g., plumes with respect to the absorption, propagation, and dispersion coefficients).

3. Support for deeply embedded operations• Ability to integrate system components in an

open, plug-and-play manner, through the use of open data, control and communication interfaces

DITSCN ArchitectureDITSCN Architecture Research TasksResearch Tasks

Multi-hop communication

Control Center

Physical Space

Sensors…

SensorNet Node

Actuator

Cyber Space

Cyber Space• Realistic SCIPUFF plume dispersion model support for analysis and rendering of plume propagation in a real terrain

• Dynamically update plume propagation with variations in wind speed or direction• Dynamically update the topology and routes in the multi-hop wireless sensor network

• Tasking mobile sensors (ER-1 robots) to collect high-quality and relevant data• Dynamically update the positions of ER-1 robots

• ER-1 Robots supporting autonomous and programmable movement are guided by the cyber space, using commands sent over 802.11x wireless network.

• Tasking enables sensor mobility to increase the coverage of a high-risk location.

RFTrax RAD Sensor to detect the presence and intensity of the plume source

WMS Wind Sensor to monitor the wind speed and direction

Router

M od

e m

Serial Interface

Power Supplies

Processor

Antenna

Fan

Plume Source

SensorNet Node

• Sensor data communicated through RS-485 or 802.11x interfaces to the Sensor-Net Node• Adapted IEEE 1451 interface to configure sensor at runtime.

TEDS

STIM

1451.2 Stubs

(Web) Server

Control

Auth

Data Services

Legacy Codes

Data Management

&Storage

Configuration

Sensors Interface

Comm. Mode Control

E.g., Sprint

Session

Other

Services for RDC& external users

TEDSTEDS

STIM

Legacy Codes

B M

Serial

Ethernet

Link options: Dialup/PCS/ 802.11 Wired etc.

1451

.1 N

Sen

sors

SensorNet Node Software Component

ER-1 Robots

•Multi-hop communication over 802.11x wireless network• AODV routingPhysical

Space

Acknowledgements and Sponsorship: DOD, DHS, DOECollaborators: Frank DeNap‡, Nageswara S. Rao‡, Mallikarjun Shankar‡, and David K. Y. Yau* ( ‡Oak Ridge National Laboratory and *Purdue University)

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