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Reinforcement Optimization Algorithm for Mobile Robot Sensor Networks Drive Motion Improvement

التفاصيل البيبلوغرافية
العنوان: Reinforcement Optimization Algorithm for Mobile Robot Sensor Networks Drive Motion Improvement
المؤلفون: Suryaprakash Shanmugasundaram, Thirumoorthi Ponnusamy, Tamilarasu Viswanathan
المصدر: Elektronika ir Elektrotechnika, Vol 28, Iss 4, Pp 13-18 (2022)
بيانات النشر: Kaunas University of Technology, 2022.
سنة النشر: 2022
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: mobile robots, sensor network, shortest path, optimization algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: This paper proposed four optimization algorithms for mobile robot sensor networks that improve the kinematics drive motion in a reference map environment. The standard procedure followed in mobile robot sensor measurements considers a problem statement for relating the sensor measurements with a reference map. The initial path shows that the existing methods lack consideration of more sensor points without considering the boundary constraints and obstacles. The probabilistic path map can be rearranged according to the current location to improve the better drive motion, as well as to obey the fundamental kinematics equations. he obstacle crossing led to the development of new algorithms. Implementation of schemes is achieved in different map environments, and the accuracy of results outperforms conventional methods by 84.21 % to 96.94 %.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1392-1215
2029-5731
Relation: https://eejournal.ktu.lt/index.php/elt/article/view/30736; https://doaj.org/toc/1392-1215; https://doaj.org/toc/2029-5731
DOI: 10.5755/j02.eie.30736
URL الوصول: https://doaj.org/article/6b21188c88384f40858937c758c3449c
رقم الأكسشن: edsdoj.6b21188c88384f40858937c758c3449c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:13921215
20295731
DOI:10.5755/j02.eie.30736