We present a numerical analysis of the optimal number of active mobile users for minimizing average data delivery delay in intelligent people-centric urban sensing, in which context-aware mobile devices act as sensor-data carriers and sensor nodes act as data accumulators within CDMA cellular networks. In the analysis, we compute the optimal number of mobile users for different environmental conditions and then investigate the minimum average data delivery delay for this optimal number of mobile users.
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ShanGuo QUAN, YoungYong KIM, "Optimal Number of Active Users for Minimizing Average Data Delivery Delay in People-Centric Urban Sensing" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 7, pp. 1466-1469, July 2009, doi: 10.1587/transinf.E92.D.1466.
Abstract: We present a numerical analysis of the optimal number of active mobile users for minimizing average data delivery delay in intelligent people-centric urban sensing, in which context-aware mobile devices act as sensor-data carriers and sensor nodes act as data accumulators within CDMA cellular networks. In the analysis, we compute the optimal number of mobile users for different environmental conditions and then investigate the minimum average data delivery delay for this optimal number of mobile users.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.1466/_p
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@ARTICLE{e92-d_7_1466,
author={ShanGuo QUAN, YoungYong KIM, },
journal={IEICE TRANSACTIONS on Information},
title={Optimal Number of Active Users for Minimizing Average Data Delivery Delay in People-Centric Urban Sensing},
year={2009},
volume={E92-D},
number={7},
pages={1466-1469},
abstract={We present a numerical analysis of the optimal number of active mobile users for minimizing average data delivery delay in intelligent people-centric urban sensing, in which context-aware mobile devices act as sensor-data carriers and sensor nodes act as data accumulators within CDMA cellular networks. In the analysis, we compute the optimal number of mobile users for different environmental conditions and then investigate the minimum average data delivery delay for this optimal number of mobile users.},
keywords={},
doi={10.1587/transinf.E92.D.1466},
ISSN={1745-1361},
month={July},}
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TY - JOUR
TI - Optimal Number of Active Users for Minimizing Average Data Delivery Delay in People-Centric Urban Sensing
T2 - IEICE TRANSACTIONS on Information
SP - 1466
EP - 1469
AU - ShanGuo QUAN
AU - YoungYong KIM
PY - 2009
DO - 10.1587/transinf.E92.D.1466
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2009
AB - We present a numerical analysis of the optimal number of active mobile users for minimizing average data delivery delay in intelligent people-centric urban sensing, in which context-aware mobile devices act as sensor-data carriers and sensor nodes act as data accumulators within CDMA cellular networks. In the analysis, we compute the optimal number of mobile users for different environmental conditions and then investigate the minimum average data delivery delay for this optimal number of mobile users.
ER -