´╗┐Multi-level Adaptive Remote Sensing System

Department of Computer Science and Engineering, Arizona State University

Faculty Advisors

Sandeep K.S. Gupta
Professor
Department of Computer Science and Engineering
Arizona State University
sandeep.gupta@asu.edu

Georgios Varsamopoulos
Research Assistant Professor
Department of Computer Science and Engineering
Arizona State University
georgios.varsamopoulos@asu.edu

Present Students

Project Details

A joint research team of the Arizona State University and The University of Iowa, in collaboration with the Arizona Department of Transportation, the Iowa Department of Transportation, and the Maricopa County Department of Transportation, has been awarded a research project by the US Department of Transportation's Research and Innovative Technology Administration, under The Commercial Remote Sensing and Spatial Information (CRS&SI) Technologies program.

The quarterly reports and plans of Arizona State University's iMPACT Lab (CIDSE department) are enlisted below.


Quarter 1

For the first quarter the objectives encompassed research on memory storage requirements on site, energy requirement to sustain the sensor network for scour monitoring, connectivity map of the RFIDS, sensors and laptops with a feasible node placement analysis based on communication range of each component, databases and the database schema for storing sensor and RFID data and protocol for sensor pooling (data collection by the sensor using TI sensor mote). The research directly relates to the output deliverables of tasks "Installation design of the data collection scheme – communication" (also noted as "Investigate the physical requirements for communication and energy at test sites") and "Installation design of the data collection scheme – compatibility" (also noted as "Design a scheme for fitting the RFID and other sensor apparatuses with WIFI-n wireless capability"). Figure 1 the data base schema developed for data gathering. The first quarter report can be found here.

An image of the initial database schema. The schema is designed in a backward compatibility way so that additional sensors can be added without altering the existing schema.
Figure1 – The initial database schema. The schema is designed in a backward compatibility way so that additional sensors can be added without altering the existing schema.

Quarter 2

The tasks to be performed in Quarter 2 are listed below.

  • Early prototype/protocol implementation: Implement a data-gathering protocol on the lab's mote
  • Must have a control/management plane.
  • Should be able to view the battery status of each sensor.
  • Should be able to view the signal strength.
  • Should be able to adjust the sampling rate.
  • Should be able to "name" a sensor (and not use the MAC).
  • Should be able to (automatically) sync clock.
  • Should be able to (automatically) adjust and sync duty cycling
  • Must have a data plane.
  • Must be able to buffer data locally (at sensor) in case of scarce duty cycling or intermittent disconnections.
  • Must be able to store data at the gateway on PostgreSQL. Use the schema designed in Q1.


The work would be carried on for three week during December and two weeks in January. A brief weekly plan is detailed out below: Preliminary Work: Protocol state machine development.


Week 1: Sensing, time stamping and storing data in the created data base.
Week 2: Local buffering and synchronization of clocks.
Week 3: Implementation of Control Plane.
Week 4: On site experimentation and improvements based on error analysis.
Week 5: To be decided.

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Last Updated: 12th May 2008