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Liazid, H., Lehsaini, M. and Liazid, A. (2023) Data Transmission Reduction Using Prediction and Aggregation Techniques in IoT-Based Wireless Sensor Networks. Journal of Network and Computer Applications, 211, Article ID: 103556.
https://doi.org/10.1016/j.jnca.2022.103556

has been cited by the following article:

• TITLE: Research on Performance Improvement of Wireless Sensor Networks Based on OPM Algorithm

  AUTHORS: Pinggui Wu

  KEYWORDS: CC2530, Software Performance, Wireless Sensor Networks

  JOURNAL NAME: Open Access Library Journal, Vol.11 No.7, July 18, 2024

  ABSTRACT: Traditional medical data collection methods are limited by equipment, space, time and other factors. Data transmission often has delay problems. We focus on wireless sensor network performance optimization OPM (Optimal routing scheme, Parallel computing, Maximum traffic and minimum overhead) algorithm. With CC2530 single-chip microcomputer as microcontroller and ZIGBEE as RF antenna, we build a wireless sensor network, obtain data from the serial port to transmit it to the cloud computing platform to form data set, adopt parallel computing technology, establish an optimal routing scheme, and deploy software with the algorithm with maximum traffic and minimum overhead to improve the data transmission speed of the wireless sensor network. Comparative experiments show that the data transmission speed is faster and the data security is higher. The OPM algorithm for wireless sensor network performance optimization is not only used to transmit medical data in wireless sensor networks, but also to other industry data.