Open AccessKalman Filter Algorithm for Security of Network Clock Synchronization in Wireless Sensor Networks
Author(s) -
Xinggang Xuan,
Jingsha He,
Peng Zhai,
Alireza Ebrahimi Basabi,
Gongzheng Liu
Publication year - 2022
Publication title -
journal of mobile information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.346
H-Index - 34
eISSN - 1875-905X
pISSN - 1574-017X
DOI - 10.1155/2022/2766796
Subject(s) - computer science , wireless sensor network , kalman filter , clock synchronization , node (physics) , synchronization (alternating current) , real time computing , key distribution in wireless sensor networks , sensor node , wireless network , wireless , embedded system , computer network , telecommunications , engineering , channel (broadcasting) , structural engineering , artificial intelligence
Wireless sensor networks are a significant subfield of distributed systems, and a large number of their applications require time synchronization. Sensor nodes are powered by batteries. In order to reduce the interference of the peripheral environment on the node as much as possible, the size of the node is relatively small and the circuit design, storage, and calculation are relatively simple. Therefore, wireless sensor network nodes have limited energy, low computing power, and low communication capacity. In addition, the clock of the wireless sensor network node is usually realized through the local crystal oscillator and CPU interrupt mechanism, which is obviously affected by manufacturing errors, temperature changes, and CPU processing delays. Therefore, this research reviews and analyzes the development and current situation of time synchronization and puts forward the challenges faced by time synchronization-related research institutes. From the perspective of dynamic cybernetics, the feasibility of optimization based on Kalman filtering is analyzed. Finally, the article describes the system modeling process, including the clock model and the state equation and observation equation of Kalman filter and uses Matlab platform to carry out experimental simulation and analysis on the precise time synchronization protocol based on Kalman filter in the wireless sensor network environment.