An Improvement of DV-Hop Localization Algorithm Based on Cyclotomic Method in Wireless Sensor Networks

Author:

Zhao Qing1ORCID,Xu Zhen1,Yang Lei1

Affiliation:

1. School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan 430023, China

Abstract

Location information is one of the crucial and essential elements for monitoring data in wireless sensor networks. The distance vector-hop (DV-Hop) localization algorithm is of practical importance in improving its localization performance. To achieve global optimization, a DV-Hop algorithm based on the cyclotomic method and weighted normalization, also known as CMWN-DV-Hop, is nominated in this paper. Therefore, the segmentation and weighting factors are introduced and normalized. The weighted recursive least-squares (WRLS) algorithm is chosen to compute the coordinates of the unknown nodes. The effects of various factors on this algorithm are tested, including the number of nodes, the anchor node ratio, and the communication radius. The simulation results show that the proposed algorithm has a super performance in reducing the localization error.

Funder

Hubei Provincial Natural Science Foundation of China

Wuhan Polytechnic University

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference45 articles.

1. Connectivity Based DV-Hop Localization for Internet of Things;Gui;IEEE Trans. Veh. Technol.,2020

2. Research progress on wireless sensor network (WSN) security technology;Qichen;J. Phys. Conf. Ser.,2022

3. Energy efficiency optimization in SWIPT enabled WSNs for smart agriculture;Lu;IEEE Trans. Ind. Inform.,2020

4. IoT data analytics architecture for smart healthcare using RFID and WSN;ETRI J.,2022

5. Strumberger, I., Minovic, M., Tuba, M., and Bacanin, N. (2019). Performance of Elephant Herding Optimization and Tree Growth Algorithm Adapted for Node Localization in Wireless Sensor Networks. Sensors, 11.

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