An Energy-Efficient Scheduling Algorithm for Real-Time Data Reporting in Machine-to-Machine Communication Networks

碩士 === 國立清華大學 === 資訊工程學系 === 101 === Machine-to-Machine (M2M) communication technology has recently gained intense attention and been utilized in a variety of applications. Real-time data reporting is a basic requirement of most of the M2M applications. By the real-time data reported from the M2M no...

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Main Authors: Chen, Yi-Bei, 陳怡貝
Other Authors: Yang, Shun-Ren
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/89610166294300304416
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spelling ndltd-TW-101NTHU53921152015-10-13T22:29:58Z http://ndltd.ncl.edu.tw/handle/89610166294300304416 An Energy-Efficient Scheduling Algorithm for Real-Time Data Reporting in Machine-to-Machine Communication Networks 在智慧聯網中一個針對即時資料回報之省電排程演算法 Chen, Yi-Bei 陳怡貝 碩士 國立清華大學 資訊工程學系 101 Machine-to-Machine (M2M) communication technology has recently gained intense attention and been utilized in a variety of applications. Real-time data reporting is a basic requirement of most of the M2M applications. By the real-time data reported from the M2M nodes, the back-end M 2M server can perform remote monitoring and provide corresponding services. Since M2M nodes are usually with limited battery power supply, energy-saving for M2M nodes becomes a critical issue on supporting M2M communications. In this paper, we propose an energy-efficient scheduling algorithm for real-time data reporting in the purpose of reducing the energy consumption of M2M nodes. We first model the energy-efficient problem into an optimization problem and prove the hardness of this problem. To address this problem, we propose our energy-efficient scheduling algorithm. Last, we measure the performance of our algorithm and show that our algorithm can effectively guarantee the fairness and data aborted rate while achieve energy efficiency. Yang, Shun-Ren 楊舜仁 2013 學位論文 ; thesis 25 en_US
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description 碩士 === 國立清華大學 === 資訊工程學系 === 101 === Machine-to-Machine (M2M) communication technology has recently gained intense attention and been utilized in a variety of applications. Real-time data reporting is a basic requirement of most of the M2M applications. By the real-time data reported from the M2M nodes, the back-end M 2M server can perform remote monitoring and provide corresponding services. Since M2M nodes are usually with limited battery power supply, energy-saving for M2M nodes becomes a critical issue on supporting M2M communications. In this paper, we propose an energy-efficient scheduling algorithm for real-time data reporting in the purpose of reducing the energy consumption of M2M nodes. We first model the energy-efficient problem into an optimization problem and prove the hardness of this problem. To address this problem, we propose our energy-efficient scheduling algorithm. Last, we measure the performance of our algorithm and show that our algorithm can effectively guarantee the fairness and data aborted rate while achieve energy efficiency.
author2 Yang, Shun-Ren
author_facet Yang, Shun-Ren
Chen, Yi-Bei
陳怡貝
author Chen, Yi-Bei
陳怡貝
spellingShingle Chen, Yi-Bei
陳怡貝
An Energy-Efficient Scheduling Algorithm for Real-Time Data Reporting in Machine-to-Machine Communication Networks
author_sort Chen, Yi-Bei
title An Energy-Efficient Scheduling Algorithm for Real-Time Data Reporting in Machine-to-Machine Communication Networks
title_short An Energy-Efficient Scheduling Algorithm for Real-Time Data Reporting in Machine-to-Machine Communication Networks
title_full An Energy-Efficient Scheduling Algorithm for Real-Time Data Reporting in Machine-to-Machine Communication Networks
title_fullStr An Energy-Efficient Scheduling Algorithm for Real-Time Data Reporting in Machine-to-Machine Communication Networks
title_full_unstemmed An Energy-Efficient Scheduling Algorithm for Real-Time Data Reporting in Machine-to-Machine Communication Networks
title_sort energy-efficient scheduling algorithm for real-time data reporting in machine-to-machine communication networks
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/89610166294300304416
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