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Performance of Various Algorithms to Reduce the Number of Transmitted Packets by Sensor Nodes in Wireless Sensor Network

机译:减少无线传感器网络中传感器节点发送的数据包数量的各种算法的性能

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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.
机译:能耗是无线传感器网络(WSN)中的重要问题。减少传感器节点传输分组消息的数量是节省节点电池的最常见解决方案。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中传感器节点传输的数据包数量。本研究中选择的算法是移动平均(MA)算法,自回归全极点模型参数-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,在减少从源到接收器的数据包传输的基础上,EDCD1算法显示出最大减少量为92%,而在MA情况下显示的最小减少量为23%,而AR减少了-B和AR-YW分别为58%和56。此外,就接收器中数据的绝对误差而言,与其他算法相比,EDCD1算法显示出最佳性能,所有传感器的平均误差均小于2.2803。

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