Abstract
Seatbelt state monitoring is important in intercity buses for passenger safety. This paper discusses the issues and challenges in power-saving design of radio frequency identification (RFID) sensor networks in bus seatbelt monitoring. A new design approach is proposed in this work for low-power layout and parameter setting in RFID sensor nodes in hardware and software design. A one-to-many pairing registration method is suggested between the concentrator and the seat nodes. Unlike using extra computer software to write seat identification (ID) into an integrated circuit (IC) card, the node ID in this project can be stored into the concentrator directly, which can reduce intermediate operations and reduce development costs. The effectiveness of the proposed low-power design approach is verified by some experimental tests.
Highlights
For intercity buses, all passengers must always fasten their seatbelts for safety because of regulations in China
An intercity bus usually has 50–60 seats, and a wireless sensor network can be applied in this monitoring application
A flexible flexible software software control strategy will be suggested in this this condition of reliable communication, powercontrol consumption can bebe further reduced by section to power consumption in communication transmission cycle, sectionproper to minimize minimize power consumption inflexible communication mode, node node transmission cycle, duration duration using software control schemes
Summary
All passengers must always fasten their seatbelts for safety because of regulations in China. An intercity bus usually has 50–60 seats, and a wireless sensor network can be applied in this monitoring application. Wireless sensor networks have become widely used in industrial monitoring and control applications. A RFID sensor network includes both hardware and software. The hardware system consists of sensor nodes, concentrators, etc. RFID can transmit information of sensor nodes, including node ID and collected signals, to a higher level of the network through an internal radio-frequency (RF) circuitry. Multiple sensor nodes transmit data to the concentrator that can process and transmit the result to a background server through a base station and the internet. The field data collected by sensor nodes can establish background database for big data mining, remote monitoring, and analysis
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