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| 一种无线传感器网络公平数据收集方案(英文) | |
| 引用本文： | 庞辽军,李慧贤,裴庆祺,刘能宾,王育民.一种无线传感器网络公平数据收集方案(英文)[J].中国通信学报,2013,10(2):112-120. |
| 作者姓名： | 庞辽军 李慧贤 裴庆祺 刘能宾 王育民 |
| 作者单位： | School of Life Sciences and Technology, Xidian University;State Key Laboratory of Integrated Service Networks,Xidian University;School of Computer Science and Engineering, Northwestern Polytechnical University |
| 基金项目： | supported in part by the National Natural Science Foundation of China under Grants No. 61103178, No. 60803151;the Research Fund for the Doctoral Program of Higher Education of China under Grant No. 20096102120045 |
| 摘 要： | To solve the slow congestion detection and rate convergence problems in the existing rate control based fair data collection schemes, a new fair data collection scheme is proposed, which is named the improved scheme with fairness or ISWF for short. In ISWF, a quick congestion detection method, which combines the queue length with traffic changes of a node, is used to solve the slow congestion detection problem, and a new solution, which adjusts the rate of sending data of a node by monitoring the channel utilization rate, is used to solve the slow convergence problem. At the same time, the probability selection method is used in ISWF to achieve the fairness of channel bandwidth utilization. Experiment and simulation results show that ISWF can effectively reduce the reaction time in detecting congestion and shorten the rate convergence process. Compared with the existing tree-based fair data collection schemes, ISWF can achieve better fairness in data collection and reduce the transmission delay effectively, and at the same time, it can increase the average network throughput by 9.1% or more. |
| 关 键 词： | wireless sensor networks congestion detection rate control probability selection fairness |
| 收稿时间： | 2013-03-06; |
Fair Data Collection Scheme in Wireless Sensor Networks |
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| PANG Liaojun,LI Huixian,PEI Qingqi,LIU Nengbin,WANG Yumin.Fair Data Collection Scheme in Wireless Sensor Networks[J].China communications magazine,2013,10(2):112-120. | |
| Authors: | PANG Liaojun LI Huixian PEI Qingqi LIU Nengbin WANG Yumin |
| Affiliation: | 1School of Life Sciences and Technology, Xidian University, Xi’an 710071, China 2State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China 3School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an 710072, China |
| Abstract: | To solve the slow congestion detection and rate convergence problems in the existing rate control based fair data collection schemes, a new fair data collection scheme is proposed, which is named the improved scheme with fairness or ISWF for short. In ISWF, a quick congestion detection method, which combines the queue length with traffic changes of a node, is used to solve the slow congestion detection problem, and a new solution, which adjusts the rate of sending data of a node by monitoring the channel utilization rate, is used to solve the slow convergence problem. At the same time, the probability selection method is used in ISWF to achieve the fairness of channel bandwidth utilization. Experiment and simulation results show that ISWF can effectively reduce the reaction time in detecting congestion and shorten the rate convergence process. Compared with the ex-isting tree-based fair data collection schemes, ISWF can achieve better fairness in data col-lection and reduce the transmission delay ef-fectively, and at the same time, it can increase the average network throughput by 9.1% or more. |
| Keywords: | wireless sensor networks congestion detection rate control probability selection fairness |
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