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              <text>An Optimized Algorithm for Selecting Stable Multipath Routing in MANET Using Proficient Multipath Routing and Glowworm Detection Techniques</text>
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              <text>Damaged route identification method; Detection efficiency; Glowworm detection node algorithm; Glowworm optimization; Proficient multipath routing technique; Proficient routing method</text>
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              <text>Mobile Ad Hoc Networks (MANETs) depend on the selected and constant path with an extended period and the flexibility of the battery power condensed in searching end nodes, leading to numerous link failures. This kind of link damages occurs, and it also affects the packet success rate. We presented a Proficient Multipath Routing and Glowworm detection (PMGWD) technique to overcome such a Manets failure. Initially, a proposed Proficient Multipath Routing (PMR) technique identifies the damaged or failure routes and continues communication inefficiently. Secondly, the Glowworm detection node technique is implemented for both fault node identification and for extending the nodes network lifetime. Another reason to select the glowworm optimization is to update the node based on the glow to improve its neighbor its search space. Lastly, the PMGWD technique is utilized for identifying an optimal route and fault nodes in the manet. It is achieved to correct the identification of fault nodes using the glowworm detection node technique, and it helps to explore more paths for the optimal route by using proficient multipath routing. Hence, this proposed PMGWD technique is used to perform a problem-free communication process in a network system.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <text>Idrees B.A.; Naif S.S.; Galety M.G.; Arulkumar N.</text>
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              <text>Lecture Notes in Electrical Engineering, Vol-840, pp. 511-523.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-16-9012-9_41" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-16-9012-9_41&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128694375&amp;amp;doi=10.1007%2F978-981-16-9012-9_41&amp;amp;partnerID=40&amp;amp;md5=9dc48ad56c66b1a8820d7baf651e72d0" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128694375&amp;amp;doi=10.1007%2f978-981-16-9012-9_41&amp;amp;partnerID=40&amp;amp;md5=9dc48ad56c66b1a8820d7baf651e72d0&lt;/a&gt;</text>
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              <text>ISSN: 18761100; ISBN: 978-981169011-2</text>
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              <text>Idrees B.A., College of Physical Education and Sport Sciences, University of Duhok, Kurdistan Region, Duhok, Iraq; Naif S.S., College of Medicine, University of Duhok, Kurdistan Region, Duhok, Iraq; Galety M.G., Department of Information Technology, Catholic University in Erbil, Kurdistan Region, Erbil, Iraq; Arulkumar N., Department of Computer Science, CHRIST (Deemed To Be University), Bangalore, India</text>
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