Abstract
The sensor nodes are devices with extra capabilities of sensing, communicating and processing of the recorded data. The sensor-based wireless and IoT-enabled networks can contribute a precarious part of army command, defense control, defense communications, computerized based intelligence and surveillance, and above all the targeting systems. Examples of defense applications include monitoring of own army forces and enemy forces; monitoring of ammunition, monitoring of equipment, targeting at certain regions; and nuclear as well as biotechnology-based attack detection. With the advent of AI and latest technologies, a technical paradigm shift can be seen in monitoring the faults in sensor nodes that are capable to collect the data and entire decisions are inferred on the basis of this data. By deploying sensors in critical areas, all the movements can be followed in detail. Hence, instant fault location measurement of sensor nodes with the least complex approaches is the need of the hour. Therefore, a novel soft computing-based approach is proposed in this paper for measuring the fault in locations of sensor-based networks using fuzzy logic and neural networks with high accuracy. The proposed technique allows lower consumption of energy while locating the faults. The results demonstrate the superior performance of the proposed fault location scheme with respect to the network node loss, measurement error, and measurement time taken for detecting faults in locations of sensor nodes. The proposed fuzzy and neural network-based method outperforms the existing benchmarked techniques considered for comparative study.
Highlights
With the wide application of WSN in various monitoring systems, the research of WSN is becoming more and more important
Fault location measurement of sensor nodes based on fuzzy control algorithm
Nuo Yu Information and Education Technology Center, Xi’an University of Finance& Economics, Xi’an, 710061, China Nuo Yu E-mail: yunuopaper@163.com Abstract: Aiming at the problems of the traditional fault location measurement method for sensor nodes, such as more energy consumption and longer measurement time, a fault location measurement method for sensor nodes based on fuzzy control algorithm is designed and proposed
Summary
With the wide application of WSN in various monitoring systems, the research of WSN is becoming more and more important. At the initial stage of deployment, wireless sensor network nodes are in the state of unmanned monitoring and inspection. The running state of sensor network nodes is unknown, and it is impossible to carry out real-time monitoring or frequent inspection. Jiang Peng proposed a fault measurement method for sensor node based on improved DFD. Han Xiaoxiang et al proposed a fault measurement method for sensor node based on the improved MDLP algorithm and the molecular Brownian motion optimization. Based on the classic MDLP, an improved global data discretization method was designed to effectively carry out all continuous attribute values according to the attribute importance. A fault location measurement method for sensor nodes based on fuzzy control algorithm is designed and proposed. The simulation results fully prove the effectiveness of the proposed method
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