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An Adaptive Neuro Fuzzy Inference System (ANFIS) Based Relay Selection Scheme for Cooperative Wireless Sensor Network
Wireless Personal Communications ( IF 1.9 ) Pub Date : 2020-08-10 , DOI: 10.1007/s11277-020-07698-0
Nitin Kumar Jain , Dharmendra Singh Yadav , Ajay Verma

Cooperative communication in wireless sensor network has emerged a solution of energy limitation of sensor nodes. Relay selection in cooperative communication plays an important role to improve the performance of energy constrained networks. In such networks, to make balance between network lifetime (NL) and Bit Error Rate (BER) is the difficult task for the researchers. Although, the minimization of BER can be achieved by choosing best possible relay to destination link which has lowest path loss, but this solution cannot gives guarantee to enhance the NL because some nodes are frequently selected for retransmission of the information. On the other hand, increase the NL is possible by efficiently distribution of energy consumption among all the available relay nodes. In this paper, we propose an Adaptive Neuro Fuzzy Inference System based Relay Selection (ANFISRS) scheme where residual energy of the relay node and path loss of the channel are considered as an input parameters for the relay selection. ANFISRS makes balance between these two parameters for improving network lifetime and BER. Furthermore, the proposed method is compared with three existing strategies: Random Relay Selection, Maximum Residual energy based Relay Selection, and Minimum Energy Consumption based relay selection. The proposed scheme considerably reduces the BER while enhance the network lifetime over the existing strategies.



中文翻译:

基于自适应神经模糊推理系统(ANFIS)的合作无线传感器网络中继选择方案

无线传感器网络中的协作通信已经出现了传感器节点能量限制的解决方案。协作通信中的中继选择对于提高能量受限网络的性能起着重要作用。在这样的网络中,要在网络寿命(NL)和误码率(BER)之间取得平衡是研究人员的艰巨任务。尽管可以通过选择路径损耗最低的最佳中继到目标链路来实现BER的最小化,但是由于经常选择某些节点来重传信息,因此该解决方案不能保证增强NL。另一方面,通过在所有可用中继节点之间有效分配能量消耗,可以增加NL。在本文中,我们提出了一种基于自适应神经模糊推理系统的中继选择(ANFISRS)方案,其中中继节点的剩余能量和通道的路径损耗被视为中继选择的输入参数。ANFISRS在这两个参数之间取得平衡,以提高网络寿命和BER。此外,将所提出的方法与三种现有策略进行了比较:随机中继选择,基于最大剩余能量的中继选择和基于最小能量消耗的中继选择。所提出的方案大大降低了BER,同时延长了现有策略的网络寿命。ANFISRS在这两个参数之间取得平衡,以提高网络寿命和BER。此外,将所提出的方法与三种现有策略进行了比较:随机中继选择,基于最大剩余能量的中继选择和基于最小能量消耗的中继选择。所提出的方案大大降低了BER,同时延长了现有策略的网络寿命。ANFISRS在这两个参数之间取得平衡,以提高网络寿命和BER。此外,将所提出的方法与三种现有策略进行了比较:随机中继选择,基于最大剩余能量的中继选择和基于最小能量消耗的中继选择。所提出的方案大大降低了BER,同时延长了现有策略的网络寿命。

更新日期:2020-08-10
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