Affiliation:
1. School of Information Engineering, Suzhou University, Suzhou 234000, China
2. School of Electronic Information Engineering, Anhui University, Hefei 230039, China
3. Anhui Provincial Key Laboratory of Intelligent Building and Building Energy Conservation, Anhui Jianzhu University, Hefei 230022, China
Abstract
In recent years, localization has become a hot issue in many applications of the Internet of Things (IoT). The distance vector-hop (DV-Hop) algorithm is accepted for many fields due to its uncomplicated, low-budget, and common hardware, but it has the disadvantage of low positioning accuracy. To solve this issue, an improved DV-Hop algorithm—TWGDV-Hop—is put forward in this article. Firstly, the position is broadcast by using three communication radii, the hop is subdivided, and a hop difference correction coefficient is introduced to correct hops between nodes to make them more accurate. Then, the strategy of the square error fitness function is spent in calculating the average distance per hop (ADPH), and the distance weighting factor is added to jointly modify ADPH to make them more accurate. Finally, a good point set and Levy flight strategy both are introduced into gray wolf algorithm (GWO) to enhance ergodic property and capacity for unfettering the local optimum of it. Then, the improved GWO is used to evolve the place of each node to be located, further improving the location accuracy of the node to be located. The results of simulation make known that the presented positioning algorithm has improved positioning accuracy by 51.5%, 40.35%, and 66.8% compared to original DV-Hop in square, X-shaped, and O-shaped random distribution environments, respectively, with time complexity somewhat increased.
Funder
Anhui Key Laboratory of Intelligent Building and Building Energy Efficiency of Anhui University of Architecture and Architecture
Anhui Provincial Key Research and Development Program
State Key Laboratory of Tea Biology and Resource Utilization of Anhui Agricultural University
Domestic Visiting Program for Outstanding Young Teachers in Colleges and Universities
Natural Research Science Institute of Anhui Universities
Suzhou University
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering