RESUMO
The wide-ranging applications of the Internet of Things (IoT) show that it has the potential to revolutionise industry, improve daily life, and overcome global challenges. This study aims to evaluate the performance scalability of mature industrial wireless sensor networks (IWSNs). A new classification approach for IoT in the industrial sector is proposed based on multiple factors and we introduce the integration of 6LoWPAN (IPv6 over low-power wireless personal area networks), message queuing telemetry transport for sensor networks (MQTT-SN), and ContikiMAC protocols for sensor nodes in an industrial IoT system to improve energy-efficient connectivity. The Contiki COOJA WSN simulator was applied to model and simulate the performance of the protocols in two static and moving scenarios and evaluate the proposed novelty detection system (NDS) for network intrusions in order to identify certain events in real time for realistic dataset analysis. The simulation results show that our method is an essential measure in determining the number of transmissions required to achieve a certain reliability target in an IWSNs. Despite the growing demand for low-power operation, deterministic communication, and end-to-end reliability, our methodology of an innovative sensor design using selective surface activation induced by laser (SSAIL) technology was developed and deployed in the FTMC premises to demonstrate its long-term functionality and reliability. The proposed framework was experimentally validated and tested through simulations to demonstrate the applicability and suitability of the proposed approach. The energy efficiency in the optimised WSN was increased by 50%, battery life was extended by 350%, duplicated packets were reduced by 80%, data collisions were reduced by 80%, and it was shown that the proposed methodology and tools could be used effectively in the development of telemetry node networks in new industrial projects in order to detect events and breaches in IoT networks accurately. The energy consumption of the developed sensor nodes was measured. Overall, this study performed a comprehensive assessment of the challenges of industrial processes, such as the reliability and stability of telemetry channels, the energy efficiency of autonomous nodes, and the minimisation of duplicate information transmission in IWSNs.
RESUMO
This study investigates antenna performance based on its manufacturing process. Two types of planar antennas are manufactured on FR-4 dielectric using three different techniques: traditional lithography, laser ablation, and the novel SSAIL (selective surface activation by laser) technique. Various characteristics, such as reflection coefficient, gain, half-power beamwidth, and surface conductivity, are measured to compare the results. These findings offer invaluable insights for choosing the most suitable antenna manufacturing technique, particularly since the SSAIL technique has not been previously compared to alternative methods in the context of antenna production. In both types of antennas, the highest gain is achieved using laser ablation, with the slot-loaded patch antenna reaching 8.5 dBi and the Yagi-Uda antenna reaching 9.76 dBi. Antennas manufactured using SSAIL technology are notable for their excellent resolution and usefulness in constructing structures on non-metallized dielectrics.