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A decision model for selecting best reliable relay queue for cooperative relaying in cooperative cognitive radio networks: the extent analysis based fuzzy AHP solution
Wireless Networks ( IF 2.1 ) Pub Date : 2021-04-26 , DOI: 10.1007/s11276-021-02597-z
Jyoti Sekhar Banerjee , Arpita Chakraborty , Abir Chattopadhyay

Nowadays, the selection of relay in cooperation-based communication is a very demanding topic in research. The choice of the relay majorly depends on various criteria; hence, multiple criteria decision-making techniques are required to find out the best relay as relay-based transmission performs better than without relay transmission. Existing research has not considered the transmission failure of the relay node. In this paper, the authors also suggested a relay queue instead of a single BEST relay, which increases the network's efficiency for preventing unsuccessful transmission and guarantees relay-based connectivity without fail. In this paper, the authors have discussed different AHP based multiple criteria decision-making techniques to select reliable relay nodes as AHP based techniques require low latency time in decision making. Again, in this paper, authors have selected relays using extent analysis based fuzzy AHP technique over other AHP techniques as this technique not only registers the ambiguity and fuzziness of the judgment creators but also provides better time complexity than other fuzzy AHP methods. An algorithm, numerical examples, and simulation study are all carried out in this correspondence to find the best relays.



中文翻译:

协作认知无线电网络中选择最佳可靠中继队列进行协作中继的决策模型:基于程度分析的模糊层次分析法

如今,在基于合作的通信中选择中继是一个非常苛刻的研究课题。继电器的选择主要取决于各种标准。因此,由于基于中继的传输比没有中继传输的性能更好,因此需要多种标准的决策技术来找出最佳中继。现有研究没有考虑中继节点的传输故障。在本文中,作者还提出了一个中继队列,而不是单个BEST中继,这可以提高网络防止传输失败的效率,并确保基于中继的连接不会失败。在本文中,作者讨论了不同的基于AHP的多准则决策技术来选择可靠的中继节点,因为基于AHP的技术在决策中需要低等待时间。再次,在本文中,作者选择了使用基于程度分析的模糊AHP技术替代其他AHP技术的继电器,因为该技术不仅记录了判断创建者的模糊性和模糊性,而且比其他模糊AHP方法提供了更好的时间复杂度。以这种方式进行了算法,数值示例和仿真研究,以找到最佳的继电器。

更新日期:2021-04-27
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