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A Three-Dimensional Node Security Localization Method for WSN Based on Improved RSSI-LSSVR Algorithm

机译:基于改进的RSSI-LSSVR算法的WSN三维节点安全定位方法

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In this paper, a three-dimensional node security localization method for WSN based on improved RSSI-LSSVR algorithm was proposed, which aims to improve the accuracy and security of the traditional wireless sensor network localization algorithm in three-dimensional environment. The RSSI method is first improved is improved by using the median weighting method so as to improve the range precision of the nodes. To further improve the localization accuracy of the nodes, a three-dimensional node localization model is established based on the least square support vector regression method. Lastly, a detection mechanism against sybil attacks is presented to improve the security of localization against sybil attacks. The simulation results show that the accuracy and safety of the improved localization algorithm are better than the traditional localization algorithm.
机译:提出了一种基于改进的RSSI-LSSVR算法的WSN三维节点安全定位方法,旨在提高传统无线传感器网络在三维环境中的定位精度和安全性。首先采用中值加权法对RSSI方法进行了改进,以提高节点的测距精度。为了进一步提高节点的定位精度,基于最小二乘支持向量回归方法建立了三维节点定位模型。最后,提出了一种针对sybil攻击的检测机制,以提高针对sybil攻击的定位安全性。仿真结果表明,改进的定位算法的准确性和安全性优于传统的定位算法。

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