Integrated multisensors for industrial humidity measurement

Brokmann, G.; March, Barbara; Romhild, D.; Steinke, Arndt

doi:10.1109/mfi.2001.1013533

Cited by 4 publications

(1 citation statement)

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“…ere are numerous applications of wireless sensor networks that rely largely on synchronization of time [12], such as TDMA scheduling [13], data fusion [14], beamforming-oriented multinode collaboration technology [15], and positioning technology based on TOF [16]. erefore, realizing high-precision and high-performance time synchronization is a research hotspot and difficulty that has always existed in the related fields of wireless sensor networks.…”

Section: Related Workmentioning

confidence: 99%

Kalman Filter Algorithm for Security of Network Clock Synchronization in Wireless Sensor Networks

Xuan

Zhai

et al. 2022

Mobile Information Systems

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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.

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