Wireless Sensor Network Predictions of Dynamic Target Tracking Algorithm for Error Tolerance


  • Mustafa Hussein Mohammed Al-Mustaqbal University, Hillah, Iraq




wireless sensor network; mobile network; fault tolerance; target tracking; genetic algorithm


The use of wireless sensor networks (WSNs) in tracking moving objects has increased significantly in recent years. Target node coverage, a criterion for choosing the right node or nodes for monitoring moving targets, is described in this research utilizing the proposed algorithm that is based on the combined genetic algorithm and MTR (Multiple Target Research). The suggested approach combines factors according to a basic strategy, and while choosing the right node, better attributes are taken into account. The suggested approach determines which node or nodes are suitable for covering and tracking network objectives based on their degree of overlap, distance to the well, and best remaining energy. Criterion for selecting the appropriate node or nodes for tracking moving targets are presented in the form of target node coverage. In the proposed method, parameters are combined based on a fundamental strategy, and superior characteristics are regarded when selecting the appropriate node. Fewer nodes are positioned in the appropriate coverage region, according to the results. Furthermore, given that the communication


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How to Cite

Hussein Mohammed, M. (2024). Wireless Sensor Network Predictions of Dynamic Target Tracking Algorithm for Error Tolerance . Journal of Al-Qadisiyah for Computer Science and Mathematics, 16(2), Comp. 13–22. https://doi.org/10.29304/jqcsm.2024.16.21538



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