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An Adaptive Modulation Scaling Scheme for Quality of Services Ensurance in Wireless Sensor Netwoks | Science Publications

机译:无线传感器网络中服务质量保险的自适应调制缩放方案科学出版物

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> Energy consumption has been a key concern of data gathering in wireless sensor networks. Previous research works show that modulation scaling is an efficient technique to reduce energy consumption. However, such technique will also impact on both packet delivery latency and packet loss, therefore, may result in adverse effects on the qualities of applications. In this study, the problem of modulation scaling and energy optimization is discussed. A mathematical model is proposed to analyze the impact of modulation scaling on the overall energy consumption, end-to-end mean delivery latency and packet loss. A centralized optimal management mechanism is developed based on the model, which adaptively adjusts the modulation levels to minimize energy consumption while ensuring the QoS for data gathering. Experimental results show that the management mechanism saves significant energy in all the investigated scenarios. Some valuable results are also observed in the experiments.
机译: >能耗一直是无线传感器网络中数据收集的关键问题。先前的研究工作表明,调制比例缩放是一种降低能耗的有效技术。但是,这种技术也将影响分组传送等待时间和分组丢失,因此可能对应用程序质量产生不利影响。在这项研究中,讨论了调制比例缩放和能量优化的问题。提出了一个数学模型来分析调制缩放对整体能耗,端到端平均传输延迟和数据包丢失的影响。基于该模型,开发了一种集中式的最优管理机制,该机制可以自适应地调整调制级别,以最大程度地降低能耗,同时确保数据收集的QoS。实验结果表明,在所研究的所有方案中,该管理机制都可以节省大量能源。在实验中也观察到一些有价值的结果。

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