基于改进狼群算法的无线传感器网络节点定位研究

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI:10.1109/DCABES50732.2020.00055

Guojun Chen, P. Xu

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引用次数: 0

摘要

DV-Hop是无线传感器网络中典型的无测距节点定位算法。针对该算法节点定位精度不高的缺点，提出了一种基于改进狼群算法的传感器节点定位算法。该算法在经典的DV-Hop算法的基础上，将无线传感器节点定位问题转化为多约束优化问题，利用改进的狼算法求解该问题，得到未知节点坐标下的最优解。Matlab仿真表明，该算法比其他无线传感器网络节点定位算法能显著提高节点的定位精度。

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Wireless sensor network node localization research based on improved wolves algorithm

DV-Hop is a typical node localization algorithm without ranging of wireless sensor network. Because of the shortcoming that this algorithm's accuracy for node positioning is not high, a sensor node localization algorithm based on improved wolves algorithm is proposed. The algorithm is based on the classic DV-Hop algorithm, converts the wireless sensor node localization problem into a multi-constrained optimization problem, and uses improved wolves algorithm to solve this problem, then obtains the optimal solution of unknown node coordinates. Matlab simulation show that, this algorithm can significantly improve the positioning accuracy of the node than other wireless sensor network node localization algorithm.

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2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)

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