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🔥 Content Introduction
This paper conducts an in-depth study on the wireless network for continuous monitoring of temperature sensors. Addressing the issues of high energy consumption and poor real-time performance in traditional temperature monitoring networks, a wireless network architecture suitable for continuous temperature monitoring is designed, and key technologies for data collection, transmission, and processing in the network are studied. By constructing a network performance model, a network parameter configuration scheme based on optimization algorithms is designed, and simulation verification is conducted using MATLAB. The results indicate that the designed network can achieve stable and efficient continuous temperature monitoring, effectively reduce network energy consumption, extend the network lifecycle, and provide a reliable technical solution for temperature monitoring applications.
Keywords
Temperature sensor; Wireless network; Continuous monitoring; Energy consumption optimization; MATLAB simulation
1. Introduction
1.1 Research Background
In various fields such as industrial production, environmental monitoring, smart buildings, and healthcare, temperature is a critical physical parameter, and its precise and continuous monitoring is essential. Traditional wired temperature monitoring methods have drawbacks such as complex wiring and poor scalability, making it difficult to meet the diverse monitoring needs of modern times. Wireless sensor networks for temperature monitoring have gradually become mainstream due to their flexible deployment and low cost. However, existing wireless temperature sensor networks face challenges in achieving continuous monitoring, such as high energy consumption leading to a short network lifecycle and insufficient data transmission real-time performance affecting monitoring effectiveness. Therefore, conducting research on continuous monitoring of temperature sensor wireless networks is of significant practical importance.
1.2 Research Status
Scholars at home and abroad have conducted extensive research in the field of wireless temperature sensor networks. Various topological structures such as star, tree, and mesh have been proposed in terms of network architecture; energy-saving routing protocols and dynamic power control technologies have been studied for energy consumption optimization; and data processing techniques such as data fusion and compression algorithms have been applied. However, there are still deficiencies in the research on wireless networks for temperature sensors in continuous monitoring scenarios, such as how to effectively balance network energy consumption and performance while ensuring continuous data collection and transmission, which remains an urgent problem to be solved.
1.3 Research Objectives and Significance
This study aims to design an efficient wireless network for continuous monitoring of temperature sensors, optimizing network architecture, data transmission, and processing strategies to achieve high-precision continuous temperature monitoring, reduce network energy consumption, and improve network reliability and real-time performance. The research results will provide technical support for practical applications such as industrial production process monitoring, environmental climate research, and cold chain logistics temperature monitoring, promoting the application and development of wireless temperature sensor networks in more fields.
2. Design of Continuous Monitoring Temperature Sensor Wireless Network Architecture
2.1 Network Hierarchical Structure
The continuous monitoring temperature sensor wireless network adopts a layered architecture, mainly including the perception layer, transmission layer, and application layer. The perception layer consists of numerous temperature sensor nodes distributed in the monitoring area, responsible for real-time temperature data collection; the transmission layer is composed of aggregation nodes and routing nodes, where aggregation nodes collect data from the perception layer nodes and transmit the data to the application layer through routing nodes; the application layer receives the processed temperature data for storage, analysis, and display, providing temperature monitoring services to users.
2.2 Node Function Design
- Temperature Sensor Node: Capable of temperature data collection, simple data processing (such as filtering), and wireless communication. To reduce energy consumption, the node uses a low-power microcontroller and wireless communication module, significantly reducing power consumption in sleep mode, waking up periodically to collect temperature data and transmit it.
- Aggregation Node: Responsible for collecting data from multiple sensor nodes in the perception layer, performing preliminary data fusion processing to reduce data transmission volume. At the same time, it establishes a communication connection with routing nodes to forward the processed data to the application layer.
- Routing Node: Selects the optimal path to transmit data from the aggregation node to the application layer based on network topology and link status. The routing node must have strong routing calculation and data forwarding capabilities to ensure reliable data transmission.
⛳️ Operating Results
📣 Sample Code
🔗 References
🎈 Some theoretical references are from online literature; if there is any infringement, please contact the author for removal.
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