Abstract
Aiming at the low accuracy of DV-Hop localization algorithm in three-dimensional localization of wireless sensor network, a DV-Hop localization algorithm optimized by adaptive cuckoo search algorithm was proposed in this paper. Firstly, an improved DV-Hop algorithm was proposed, which can reduce the localization error of DV-Hop algorithm by controlling the network topology and improving the method for calculating average hop distance. Meanwhile, aiming at the slow convergence in traditional cuckoo search algorithm, the adaptive strategy was improved for the step search strategy and the bird's nest recycling strategy. And the adaptive cuckoo search algorithm was introduced to the process of node localization to optimize the unknown node position estimation. The experiment results show that compared with the improved DV-Hop algorithm and the traditional DV-Hop algorithm, the DV-Hop algorithm optimized by adaptive cuckoo search algorithm improved the localization accuracy and reduced the localization errors.
Highlights
Wireless sensor network as a monitoring network composed by a large number of sensor nodes which are randomly deployed in task area through self-composition
DV-Hop algorithm using least squares method to estimate the unknown node coordinate. This method can reduce the localization errors to a certain extent, solving speed of the least square method is slow, and the method is easy to be affected by the distance measurement errors, which will affect the accuracy of localization
The paper is organized as follows: section 1 focuses on the insufficient of traditional DV-Hop algorithm localization accuracy, and proposed an improved 3D DVHop localization algorithm
Summary
Wireless sensor network as a monitoring network composed by a large number of sensor nodes which are randomly deployed in task area through self-composition. The range-based localization algorithm calculates node distance or angles through the use of external device during the localization process. Consider the effect of dynamic topology and anchor nodes difference, an intelligent algorithm for nodes localization based on processing strategy of optimal hopping distances was proposed by Mudong Li [8]. DV-Hop algorithm using least squares method to estimate the unknown node coordinate This method can reduce the localization errors to a certain extent, solving speed of the least square method is slow, and the method is easy to be affected by the distance measurement errors, which will affect the accuracy of localization. The paper is organized as follows: section 1 focuses on the insufficient of traditional DV-Hop algorithm localization accuracy, and proposed an improved 3D DVHop localization algorithm.
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