KMS Chongqing Institute of Green and Intelligent Technology, CAS
| An improved DV-Hop algorithm for wireless sensor networks based on neural dynamics | |
Liu, Jingping1,2; Liu, Mei1; Du, Xiujuan3; Stanimirovi, Predrag S.4; Jin, Long5,6
| |
| 2022-06-28 | |
| 摘要 | Among the localization algorithms of wireless sensor networks (WSNs), the distance vector-hop (DV-Hop) algorithm has been widely concerned thanks to its simplicity, low hardware requirements, and easy implementation. However, the localization accuracy of the DV-Hop algorithm declines greatly when the sensor nodes are unevenly distributed. To improve the accuracy of the DV-Hop algorithm, we propose an improved DV-Hop algorithm based on neural dynamics (ND-DV-Hop). First, the fluctuant range of dis-tance errors between the unknown nodes and the anchor nodes is computed via error analysis. Then, the traditional localization model is transformed into an algebraic equation in which the distances and coordinates change with time. Besides, a neural dynamics (ND) algorithm is used to solve the equation and obtain the solution with the residual errors eliminated. Theoretical analyses are provided to verify the convergence and anti-noise performance of the ND-DV-Hop algorithm. Finally, numerical simulations are carried out to confirm the superiority, efficiency, robustness, and accuracy of the proposed algorithm for dealing with WSNs localization problems.(c) 2022 Elsevier B.V. All rights reserved. |
| 关键词 | Localization DV-Hop Neural dynamics Convergence analyses Anti-noise analyses |
| DOI | 10.1016/j.neucom.2022.03.050 |
| 发表期刊 | NEUROCOMPUTING
 |
| ISSN | 0925-2312 |
| 卷号 | 491页码:172-185 |
| 通讯作者 | Jin, Long(jinlongsysu@foxmail.com) |
| 收录类别 | SCI |
| WOS记录号 | WOS:000788143600015 |
| 语种 | 英语 |
