GRadient-based Data Forwarding Protocol with On-demand Wakeup

碩士 === 玄奘大學 === 資訊科學學系碩士班 === 95 === Wireless sensor networks are composed of dispersive sensor nodes which can be used for environmental surveillance, data collection and transmission, and etc. Since sensor nodes are equipped with limited battery power, how to prolong the lifetime of sensor nodes b...

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Main Authors: Yen-Liang,Kuo, 郭彥良
Other Authors: Rei-Heng,Cheng
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/66958157586898496194
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spelling ndltd-TW-095HCU083960072016-05-16T04:09:38Z http://ndltd.ncl.edu.tw/handle/66958157586898496194 GRadient-based Data Forwarding Protocol with On-demand Wakeup 一個以梯度為基礎結合依需求喚醒機制的感測網路資料傳送協定 Yen-Liang,Kuo 郭彥良 碩士 玄奘大學 資訊科學學系碩士班 95 Wireless sensor networks are composed of dispersive sensor nodes which can be used for environmental surveillance, data collection and transmission, and etc. Since sensor nodes are equipped with limited battery power, how to prolong the lifetime of sensor nodes becomes an important issue. GRAB (GRAdient Broadcast protocol) is an excellent data delivery protocol for sensor networks. By using the budget mechanism, GRAB can enhance the data transmission robustness, and achieve high data delivery rate. However, power saving is not a main issue for GRAB, the GRAB keeps a node in idle listening state while it does not participate in any data transmission task. In this thesis, we make some modifications for the GRAB protocol to achieve the power saving goal. In our proposed protocol, all the nodes are initiated in the sleeping mode, they can be waken up either by their own sensing device when some events are detected, or by receiving the wake-up beacons sent by neighboring nodes. For the sensor nodes are only waken up on-demand, significant energy saving can be accomplished. As the simulation results shown, our proposed protocol consumes much fewer energy than GRAB does while achieves almost the same data delivery rate as GRAB can do. Rei-Heng,Cheng 鄭瑞恒 2007 學位論文 ; thesis 54 zh-TW
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language zh-TW
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description 碩士 === 玄奘大學 === 資訊科學學系碩士班 === 95 === Wireless sensor networks are composed of dispersive sensor nodes which can be used for environmental surveillance, data collection and transmission, and etc. Since sensor nodes are equipped with limited battery power, how to prolong the lifetime of sensor nodes becomes an important issue. GRAB (GRAdient Broadcast protocol) is an excellent data delivery protocol for sensor networks. By using the budget mechanism, GRAB can enhance the data transmission robustness, and achieve high data delivery rate. However, power saving is not a main issue for GRAB, the GRAB keeps a node in idle listening state while it does not participate in any data transmission task. In this thesis, we make some modifications for the GRAB protocol to achieve the power saving goal. In our proposed protocol, all the nodes are initiated in the sleeping mode, they can be waken up either by their own sensing device when some events are detected, or by receiving the wake-up beacons sent by neighboring nodes. For the sensor nodes are only waken up on-demand, significant energy saving can be accomplished. As the simulation results shown, our proposed protocol consumes much fewer energy than GRAB does while achieves almost the same data delivery rate as GRAB can do.
author2 Rei-Heng,Cheng
author_facet Rei-Heng,Cheng
Yen-Liang,Kuo
郭彥良
author Yen-Liang,Kuo
郭彥良
spellingShingle Yen-Liang,Kuo
郭彥良
GRadient-based Data Forwarding Protocol with On-demand Wakeup
author_sort Yen-Liang,Kuo
title GRadient-based Data Forwarding Protocol with On-demand Wakeup
title_short GRadient-based Data Forwarding Protocol with On-demand Wakeup
title_full GRadient-based Data Forwarding Protocol with On-demand Wakeup
title_fullStr GRadient-based Data Forwarding Protocol with On-demand Wakeup
title_full_unstemmed GRadient-based Data Forwarding Protocol with On-demand Wakeup
title_sort gradient-based data forwarding protocol with on-demand wakeup
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/66958157586898496194
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