WSNs Node Localization Algorithm based on Improved Whale Optimization Algorithm

In order to achieve high-precision positioning of non ranging DV-Hop positioning algorithms in WSNs, an improved DV-Hop positioning algorithm combining multiple communication radii with IWOA algorithm is proposed.The initial WOA population is unevenly distributed, the Rate of convergence is slow, the global search ability is weak, and it is easy to fall into local optimization problems.Firstly, Tent is used to initialize the population to make the initial solution more evenly distributed in the solution space. At the same time, adaptive inertia weight coefficients are introduced to improve the nonlinear convergence factor, balancing the global search and local search capabilities. The Cauchy mutation strategy is used to enhance the algorithm's ability to jump out of local optima.Finally, the improved whale optimization algorithm will replace the least squares method in solving the coordinates of the nodes to be located. The MATLAB simulation results have shown that the improved algorithm can greatly improve node positioning accuracy in a randomly distributed environent.