casa 16(8): e4

Research Article

Modeling the Connections of Dynamic Sensor Fields Based on BT-Graph

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  • @ARTICLE{10.4108/eai.9-3-2016.151116,
    author={Tuyen Phong Truong and Huong Hoang Luong and Hiep Xuan Huynh and Vinh Cong Phan and Bernard Pottier},
    title={Modeling the Connections of Dynamic Sensor Fields Based on BT-Graph},
    journal={EAI Endorsed Transactions on Context-aware Systems and Applications},
    volume={3},
    number={8},
    publisher={EAI},
    journal_a={CASA},
    year={2016},
    month={3},
    keywords={associate analysis, BT-Graph, parallel processing, sensor field, LEO satellite},
    doi={10.4108/eai.9-3-2016.151116}
}
  • Tuyen Phong Truong
    Huong Hoang Luong
    Hiep Xuan Huynh
    Vinh Cong Phan
    Bernard Pottier
    Year: 2016
    Modeling the Connections of Dynamic Sensor Fields Based on BT-Graph
    CASA
    EAI
    DOI: 10.4108/eai.9-3-2016.151116
Tuyen Phong Truong1,*, Huong Hoang Luong2, Hiep Xuan Huynh2, Vinh Cong Phan3, Bernard Pottier1
  • 1: Lab-STICC, UMR CNRS 6285, Université de Bretagne Occidentale, France
  • 2: Can Tho University, Vietnam
  • 3: Nguyen Tat Thanh University, Vietnam
*Contact email: phong-tuyen.truong@univ-brest.fr

Abstract

In this article, we propose a new approach to model and optimize the dynamic sensor field for both internal network connections and LEO satellite connection based on BT Graph. Due to the shift of LEO satellite’s orbit at each revolution, a dynamic sensor field (DSF), which is able to redetermine its gateways, is suitable to improve successful data communications. It is convenient to present a DSF as a BT-Graph that aims to utilize optimization algorithms. Parallel search algorithms are also deployed for more efficient execution time when DSFs consist of a significant large number of nodes. The simulation experiments are performed on an abstract forest fire surveillance network to validate our proposed approach.

Keywords
associate analysis, BT-Graph, parallel processing, sensor field, LEO satellite
Received
2016-01-02
Accepted
2016-02-10
Published
2016-03-09
Publisher
EAI
http://dx.doi.org/10.4108/eai.9-3-2016.151116

Copyright © 2016 T. P. Truong et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.