无线传感器网络中减少传感器节点传输数据包数的各种算法的性能

M. Husni, M. K. Hussein, N. Alduais, J. Abdullah, I. Marghescu
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引用次数: 2

摘要

能量消耗是无线传感器网络中的一个重要问题。减少传感器节点发送报文的数量是节省节点电池最常见的解决方案。因此,本文的主要贡献是研究不同算法的性能,这些算法可以减少WSN内传感器节点传输的数据包数量。本研究选取的算法有移动平均(MA)算法、自回归全极模型参数- Burg算法。(AR-B),自回归全极模型参数- Yule-Walker算法(AR-YW)和高效数据收集和传播算法(EDCD1)。性能比较表明,在减少从源到汇的数据包传输量的基础上,EDCD1算法在MA情况下最大减少92%,最小减少23%,AR-B和AR-YW分别减少58%和56%。此外,就汇处数据的绝对误差而言,EDCD1算法表现出最佳性能,所有传感器的平均误差较小,为2.2803。
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Performance of Various Algorithms to Reduce the Number of Transmitted Packets by Sensor Nodes in Wireless Sensor Network
Energy consumption is an important issue in the Wireless Sensor Network (WSN). Reducing the number of transmission packet messages by sensor nodes is the most common solutions to save the node battery. Therefore, the main contribution of this paper is to study the performances of different algorithms that can reduce the number of data packets transmitted by sensor nodes within the WSN. The selected algorithms in this study are Move Average (MA) algorithm, Autoregressive all-pole model parameters - Burg's algorithm. (AR-B), Autoregressive all-pole model parameters - Yule-Walker algorithm (AR-YW) and an Efficient Data Collection and Dissemination Algorithm (EDCD1). The performance comparison shows that the on the basis of reduction in the data packet transmissions from the source to the sink, EDCD1 algorithm shows the maximum reduction of 92% while a minimum reduction of 23% is shown in case of MA and the reduction of AR-B and AR-YW are 58% and 56, respectively. Moreover, in terms of the absolute error in the data at the sink, the EDCD1 algorithm shows the best performance with a less average error at 2.2803 for all sensors compared to other algorithms.
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