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Localization of Senor Nodes Using Weighted Least Squares Algorithm: Comprehensive Literature Review and Future Research Directions

机译:使用加权最小二乘算法的传赛节点的本地化:综合文献综述和未来的研究方向

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In sensor nodes, localization is very important characteristic in wireless sensor networks. By using localisation technique, it can find out the position of any sensor node in the network. Technically, unlicensed users in this network share the spectrum of primary users using a spectrum sensing process while do not cause significant interference to the primary users. Unfortunately, the spectrum sensing process is hampered by security problem called primary user emulation attack. In this paper, the aforementioned problem is solved using the sensor localization process with proposed weighted least squares scheme. Secondly, a comprehensive literature review and future research directions for localization of senor nodes are provided. Numerical simulation results are compared with the existing approaches such as linear least squares, subspace, nonlinear least squares, and maximum likelihood. It shows that the designed optimization scheme provides considerable performance enhancement compared with the aforementioned algorithms.
机译:在传感器节点中,本地化在无线传感器网络中是非常重要的特征。通过使用本地化技术,它可以在网络中找出任何传感器节点的位置。从技术上讲,该网络中的未经许可用户使用频谱传感过程共享主要用户的频谱,而不会对主用户造成显着干扰。不幸的是,频谱传感过程受到称为主用户仿真攻击的安全问题阻碍。在本文中,使用具有提出加权最小二乘方案的传感器定位过程解决了上述问题。其次,提供了全面的文学审查和未来的参议节节点本地化的研究方向。将数值模拟结果与现有方法进行比较,例如线性最小二乘,子空间,非线性最小二乘和最大可能性。它表明,与上述算法相比,设计的优化方案提供了相当大的性能增强。

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