Your browser doesn't support javascript.
loading
UAV-Assisted Low-Consumption Time Synchronization Utilizing Cross-Technology Communication.
Tan, Ziyi; Yang, Xu; Pang, Mingzhi; Gao, Shouwan; Li, Ming; Chen, Pengpeng.
Afiliação
  • Tan Z; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China.
  • Yang X; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China.
  • Pang M; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China.
  • Gao S; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China.
  • Li M; China Mine Digitization Engineering Research Center, Ministry of Education, Xuzhou 221116, China.
  • Chen P; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China.
Sensors (Basel) ; 20(18)2020 Sep 09.
Article em En | MEDLINE | ID: mdl-32916857
ABSTRACT
Wireless sensor networks (WSNs) have been used in many fields due to its wide applicability. In this kind of network, each node is independent of each other and has its own local clock and communicates wirelessly. Time synchronization plays a vital role in WSNs and it can ensure accuracy requirements for coordination and data reliability. However, two key challenges exist in large-scale WSNs that are severe resource constraints overhead and multihop time synchronization errors. To address these issues, this paper proposes a novel unmanned aerial vehicle (UAV)-assisted low-consumption time synchronization algorithm based on cross-technology communication (CTC) for a large-scale WSN. This algorithm uses a UAV to send time synchronization data packets for calibration. Moreover, to ensure coverage and a high success rate for UAV data transmission, we use CTC for time synchronization. Without any relays, a high-power time synchronization packet can be sent by a UAV to achieve the time synchronization of low-power sensors. This algorithm can achieve accurate time synchronization with almost zero energy consumption for the sensor nodes. Finally, we implemented our algorithm with 30 low-power RF-CC2430 ZigBee nodes and a Da Jiang Innovations (DJI) M100 UAV on a 1 km highway and an indoor site. The results show that time synchronization can be achieved accurately with almost zero energy consumption for the sensor nodes, and the time synchronization error is less than 30 µs in 99% of cases.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China