The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam WSAN (Rangkaian Penderia Tanpa Wayar dan Penggerak), kebanyakan sumber, termasuk penderia dan penggerak, direka bentuk untuk aplikasi tertentu dalam persekitaran khusus. Ramai penyelidik telah mencadangkan untuk menggunakan gerbang untuk membuat kesimpulan dan menganotasi data heterogen; walau bagaimanapun, kaedah terpusat tersebut menghasilkan rangkaian penyempitan dan overhed pengiraan pada pintu masuk yang menyebabkan masa tindak balas yang lebih lama dalam pemprosesan aktiviti, memburukkan prestasi. Kerja ini mencadangkan dua mekanisme inferens pengedaran: mekanisme inferens serantau dan berjujukan untuk mengurangkan masa tindak balas dalam pemprosesan aktiviti. Akhirnya, keputusan eksperimen untuk mekanisme inferens yang dicadangkan dibentangkan, dan ia menunjukkan bahawa mekanisme kami mengatasi mekanisme inferens terpusat tradisional.
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Salinan
Cheng-Min LIN, Jyh-Horng LIN, Jen-Cheng CHIU, "DIWSAN: Distributed Intelligent Wireless Sensor and Actuator Network for Heterogeneous Environment" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 9, pp. 2534-2543, September 2010, doi: 10.1587/transinf.E93.D.2534.
Abstract: In a WSAN (Wireless Sensor and Actuator Network), most resources, including sensors and actuators, are designed for certain applications in a dedicated environment. Many researchers have proposed to use of gateways to infer and annotate heterogeneous data; however, such centralized methods produce a bottlenecking network and computation overhead on the gateways that causes longer response time in activity processing, worsening performance. This work proposes two distribution inference mechanisms: regionalized and sequential inference mechanisms to reduce the response time in activity processing. Finally, experimental results for the proposed inference mechanisms are presented, and it shows that our mechanisms outperform the traditional centralized inference mechanism.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.2534/_p
Salinan
@ARTICLE{e93-d_9_2534,
author={Cheng-Min LIN, Jyh-Horng LIN, Jen-Cheng CHIU, },
journal={IEICE TRANSACTIONS on Information},
title={DIWSAN: Distributed Intelligent Wireless Sensor and Actuator Network for Heterogeneous Environment},
year={2010},
volume={E93-D},
number={9},
pages={2534-2543},
abstract={In a WSAN (Wireless Sensor and Actuator Network), most resources, including sensors and actuators, are designed for certain applications in a dedicated environment. Many researchers have proposed to use of gateways to infer and annotate heterogeneous data; however, such centralized methods produce a bottlenecking network and computation overhead on the gateways that causes longer response time in activity processing, worsening performance. This work proposes two distribution inference mechanisms: regionalized and sequential inference mechanisms to reduce the response time in activity processing. Finally, experimental results for the proposed inference mechanisms are presented, and it shows that our mechanisms outperform the traditional centralized inference mechanism.},
keywords={},
doi={10.1587/transinf.E93.D.2534},
ISSN={1745-1361},
month={September},}
Salinan
TY - JOUR
TI - DIWSAN: Distributed Intelligent Wireless Sensor and Actuator Network for Heterogeneous Environment
T2 - IEICE TRANSACTIONS on Information
SP - 2534
EP - 2543
AU - Cheng-Min LIN
AU - Jyh-Horng LIN
AU - Jen-Cheng CHIU
PY - 2010
DO - 10.1587/transinf.E93.D.2534
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2010
AB - In a WSAN (Wireless Sensor and Actuator Network), most resources, including sensors and actuators, are designed for certain applications in a dedicated environment. Many researchers have proposed to use of gateways to infer and annotate heterogeneous data; however, such centralized methods produce a bottlenecking network and computation overhead on the gateways that causes longer response time in activity processing, worsening performance. This work proposes two distribution inference mechanisms: regionalized and sequential inference mechanisms to reduce the response time in activity processing. Finally, experimental results for the proposed inference mechanisms are presented, and it shows that our mechanisms outperform the traditional centralized inference mechanism.
ER -