To enhance the positioning accuracy and stability of wireless sensor network (WSN), a three-dimensional dv-hop positioning optimization algorithm is proposed based on an improved genetic-tabu search method (TDGT). First, the optimal hop number, hop adjustment factor, and anchor node distance error weighted value are used to improve and modify the hop number and average hop number in dv-hop to reduce the positioning error. Then, a fast tabu search is introduced into genetic algorithm to further improve the search efficiency and positioning accur...
