Open AccessResearch on WSN Time Synchronization Algorithm Based on Smart Campus
Author(s) -
Ling Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1802/3/032079
Subject(s) - wireless sensor network , computer science , data synchronization , synchronization (alternating current) , time synchronization , real time computing , campus network , computer network , energy consumption , key (lock) , robustness (evolution) , distributed computing , computer security , engineering , electrical engineering , biochemistry , chemistry , gene , channel (broadcasting)
The realization of the collection, transmission and processing of information is the three basic elements of a smart campus, among which data collection and transmission are inseparable from the participation of wireless sensor networks. In particular, the geographical area of the campus of colleges and universities is relatively large, the population is relatively dense, and the mobility and contact rate of personnel are high. Higher requirements are put forward for intelligent teaching management and campus safety management and control. In particular, the current large-scale outbreak of the new tube virus has been basically under control in our country, but because of the characteristics of college campuses, it is more likely to become a disaster area. Therefore, a large number of sensor nodes (monitoring, temperature, smoke, alarm, etc.) are deployed in the campus, and the emergency information of the school can be fed back and processed in time through the sensor network, thereby ensuring the safety of the campus. To build a large-scale sensor network, many technical issues must be considered. Among them, the time synchronization algorithm that can reduce network power consumption is one of the key technical indicators. This paper proposes time synchronization algorithm ideas from two aspects of cluster head synchronization and intra-cluster synchronization. It is applied to the time synchronization process of WSN nodes to reduce the energy consumption of WSN sensor nodes in smart campuses, thereby increasing the robustness of WSN networks.