Deakin University
Browse
nahavandi-usingautonomous-2006.pdf (4.89 MB)

Using autonomous mobile agents for efficient data collection in sensor networks

Download (4.89 MB)
conference contribution
posted on 2006-01-01, 00:00 authored by Timothy Black, Vicky MakVicky Mak, Pubudu PathiranaPubudu Pathirana, Saeid Nahavandi
Sensor networks are emerging as the new frontier in sensing technology, however there are still issues that need to be addressed. Two such issues are data collection and energy conservation. We consider a mobile robot, or a mobile agent, traveling the network collecting information from the sensors themselves before their onboard memory storage buffers are full. A novel algorithm is presented that is an adaptation of a local search algorithm for a special case of the Asymmetric Traveling Salesman Problem with Time-windows (ATSPTW) for solving the dynamic scheduling problem of what nodes are to be visited so that the information collected is not lost. Our algorithms are given and compared to other work.

History

Event

World Automation Congress ( 2006 : Budapest, Hungary)

Pagination

1 - 6

Publisher

IEEE

Location

Budapest, Hungary

Place of publication

Piscataway, N.J.

Start date

2006-07-24

End date

2006-07-26

ISBN-13

9781889335322

ISBN-10

1889335320

Language

eng

Notes

©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Publication classification

E1 Full written paper - refereed

Copyright notice

2006, World Automation Congress

Title of proceedings

Intelligent Automation and Soft Computing Volume 5: Proceedings of the World Automation Congress 2006 (WAC 2006)

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC