A Prediction-Based Approach to Moving-Phenomenon Monitoring Using Mobile Sensor Nodes
Summary :
Deploying a group of mobile sensor (MS) nodes to monitor a moving phenomenon in an unknown and open area includes a lot of challenges if the phenomenon moves quickly and due to the limited capabilities of MS nodes in terms of mobility, sensing and communication ranges. To address these challenges and achieve a high weighted sensing coverage, in this paper, we propose a new algorithm for moving-phenomenon monitoring, namely VirFID-MP (Virtual Force (VF)-based Interest-Driven phenomenon monitoring with Mobility Prediction). In VirFID-MP, the future movement of the phenomenon is first predicted using the MS nodes' movement history data. Then, the prediction information is used to calculate a virtual force, which is utilized to speed up MS nodes toward the moving phenomenon. In addition, a prediction-based oscillation-avoidance algorithm is incorporated with VirFID-MP movement control to reduce the nodes' energy consumption. Our simulation results show that VirFID-MP outperforms original VirFID schemes in terms of weighted coverage efficiency and energy consumption.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E99-B No.8 pp.1754-1762
- Publication Date
- 2016/08/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2015CCP0025
- Type of Manuscript
- Special Section PAPER (Special Section on Advanced Information and Communication Technologies and Services in Conjunction with Main Topics of APCC2015)
- Category
- Network
Authors
Duc Van LE
University of Ulsan
Hoon OH
University of Ulsan
Seokhoon YOON
University of Ulsan
Keyword
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Duc Van LE, Hoon OH, Seokhoon YOON, "A Prediction-Based Approach to Moving-Phenomenon Monitoring Using Mobile Sensor Nodes" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 8, pp. 1754-1762, August 2016, doi: 10.1587/transcom.2015CCP0025.
Abstract: Deploying a group of mobile sensor (MS) nodes to monitor a moving phenomenon in an unknown and open area includes a lot of challenges if the phenomenon moves quickly and due to the limited capabilities of MS nodes in terms of mobility, sensing and communication ranges. To address these challenges and achieve a high weighted sensing coverage, in this paper, we propose a new algorithm for moving-phenomenon monitoring, namely VirFID-MP (Virtual Force (VF)-based Interest-Driven phenomenon monitoring with Mobility Prediction). In VirFID-MP, the future movement of the phenomenon is first predicted using the MS nodes' movement history data. Then, the prediction information is used to calculate a virtual force, which is utilized to speed up MS nodes toward the moving phenomenon. In addition, a prediction-based oscillation-avoidance algorithm is incorporated with VirFID-MP movement control to reduce the nodes' energy consumption. Our simulation results show that VirFID-MP outperforms original VirFID schemes in terms of weighted coverage efficiency and energy consumption.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015CCP0025/_p
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@ARTICLE{e99-b_8_1754,
author={Duc Van LE, Hoon OH, Seokhoon YOON, },
journal={IEICE TRANSACTIONS on Communications},
title={A Prediction-Based Approach to Moving-Phenomenon Monitoring Using Mobile Sensor Nodes},
year={2016},
volume={E99-B},
number={8},
pages={1754-1762},
abstract={Deploying a group of mobile sensor (MS) nodes to monitor a moving phenomenon in an unknown and open area includes a lot of challenges if the phenomenon moves quickly and due to the limited capabilities of MS nodes in terms of mobility, sensing and communication ranges. To address these challenges and achieve a high weighted sensing coverage, in this paper, we propose a new algorithm for moving-phenomenon monitoring, namely VirFID-MP (Virtual Force (VF)-based Interest-Driven phenomenon monitoring with Mobility Prediction). In VirFID-MP, the future movement of the phenomenon is first predicted using the MS nodes' movement history data. Then, the prediction information is used to calculate a virtual force, which is utilized to speed up MS nodes toward the moving phenomenon. In addition, a prediction-based oscillation-avoidance algorithm is incorporated with VirFID-MP movement control to reduce the nodes' energy consumption. Our simulation results show that VirFID-MP outperforms original VirFID schemes in terms of weighted coverage efficiency and energy consumption.},
keywords={},
doi={10.1587/transcom.2015CCP0025},
ISSN={1745-1345},
month={August},}
Copy
TY - JOUR
TI - A Prediction-Based Approach to Moving-Phenomenon Monitoring Using Mobile Sensor Nodes
T2 - IEICE TRANSACTIONS on Communications
SP - 1754
EP - 1762
AU - Duc Van LE
AU - Hoon OH
AU - Seokhoon YOON
PY - 2016
DO - 10.1587/transcom.2015CCP0025
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2016
AB - Deploying a group of mobile sensor (MS) nodes to monitor a moving phenomenon in an unknown and open area includes a lot of challenges if the phenomenon moves quickly and due to the limited capabilities of MS nodes in terms of mobility, sensing and communication ranges. To address these challenges and achieve a high weighted sensing coverage, in this paper, we propose a new algorithm for moving-phenomenon monitoring, namely VirFID-MP (Virtual Force (VF)-based Interest-Driven phenomenon monitoring with Mobility Prediction). In VirFID-MP, the future movement of the phenomenon is first predicted using the MS nodes' movement history data. Then, the prediction information is used to calculate a virtual force, which is utilized to speed up MS nodes toward the moving phenomenon. In addition, a prediction-based oscillation-avoidance algorithm is incorporated with VirFID-MP movement control to reduce the nodes' energy consumption. Our simulation results show that VirFID-MP outperforms original VirFID schemes in terms of weighted coverage efficiency and energy consumption.
ER -
English
