In the future Internet of Things/M2M network, enormous amounts of data generated from sensors must be processed and utilized by cloud applications. In recent years, sensor data stream delivery, which collects and sends sensor data periodically, has been attracting great attention. As for sensor data stream delivery, the receivers have different delivery cycle requirements depending on the applications or situations. In this paper, we propose a sensor data stream delivery method to accommodate heterogeneous cycles on the cloud. The proposed method uses distributed hashing to determine relay nodes on the cloud and construct delivery paths autonomously. We evaluate the effectiveness of the proposed method in simulations. The simulation results show that the proposed method halves the maximum load of nodes compared to the baseline methods and achieves high load balancing.
Tomoya KAWAKAMI
Nara Institute of Science and Technology,Osaka University
Yoshimasa ISHI
Osaka University
Tomoki YOSHIHISA
Osaka University
Yuuichi TERANISHI
Osaka University,National Institute of Information and Communications Technology
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Tomoya KAWAKAMI, Yoshimasa ISHI, Tomoki YOSHIHISA, Yuuichi TERANISHI, "A Sensor Data Stream Delivery Method to Accommodate Heterogeneous Cycles on Cloud" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 6, pp. 1331-1340, June 2016, doi: 10.1587/transcom.2015EBP3445.
Abstract: In the future Internet of Things/M2M network, enormous amounts of data generated from sensors must be processed and utilized by cloud applications. In recent years, sensor data stream delivery, which collects and sends sensor data periodically, has been attracting great attention. As for sensor data stream delivery, the receivers have different delivery cycle requirements depending on the applications or situations. In this paper, we propose a sensor data stream delivery method to accommodate heterogeneous cycles on the cloud. The proposed method uses distributed hashing to determine relay nodes on the cloud and construct delivery paths autonomously. We evaluate the effectiveness of the proposed method in simulations. The simulation results show that the proposed method halves the maximum load of nodes compared to the baseline methods and achieves high load balancing.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3445/_p
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@ARTICLE{e99-b_6_1331,
author={Tomoya KAWAKAMI, Yoshimasa ISHI, Tomoki YOSHIHISA, Yuuichi TERANISHI, },
journal={IEICE TRANSACTIONS on Communications},
title={A Sensor Data Stream Delivery Method to Accommodate Heterogeneous Cycles on Cloud},
year={2016},
volume={E99-B},
number={6},
pages={1331-1340},
abstract={In the future Internet of Things/M2M network, enormous amounts of data generated from sensors must be processed and utilized by cloud applications. In recent years, sensor data stream delivery, which collects and sends sensor data periodically, has been attracting great attention. As for sensor data stream delivery, the receivers have different delivery cycle requirements depending on the applications or situations. In this paper, we propose a sensor data stream delivery method to accommodate heterogeneous cycles on the cloud. The proposed method uses distributed hashing to determine relay nodes on the cloud and construct delivery paths autonomously. We evaluate the effectiveness of the proposed method in simulations. The simulation results show that the proposed method halves the maximum load of nodes compared to the baseline methods and achieves high load balancing.},
keywords={},
doi={10.1587/transcom.2015EBP3445},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - A Sensor Data Stream Delivery Method to Accommodate Heterogeneous Cycles on Cloud
T2 - IEICE TRANSACTIONS on Communications
SP - 1331
EP - 1340
AU - Tomoya KAWAKAMI
AU - Yoshimasa ISHI
AU - Tomoki YOSHIHISA
AU - Yuuichi TERANISHI
PY - 2016
DO - 10.1587/transcom.2015EBP3445
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2016
AB - In the future Internet of Things/M2M network, enormous amounts of data generated from sensors must be processed and utilized by cloud applications. In recent years, sensor data stream delivery, which collects and sends sensor data periodically, has been attracting great attention. As for sensor data stream delivery, the receivers have different delivery cycle requirements depending on the applications or situations. In this paper, we propose a sensor data stream delivery method to accommodate heterogeneous cycles on the cloud. The proposed method uses distributed hashing to determine relay nodes on the cloud and construct delivery paths autonomously. We evaluate the effectiveness of the proposed method in simulations. The simulation results show that the proposed method halves the maximum load of nodes compared to the baseline methods and achieves high load balancing.
ER -