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              <text>An Efficient Routing Strategy for Energy Management in Wireless Sensor Network Using Hybrid Routing Protocols</text>
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              <text>Grid-based data dissemination; HKHSM; Packet delivery and throughput ratio; Routing protocol; Wireless communication channel</text>
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              <text>In these days, Wireless Sensor Networks (WSN) shows a huge impact on all appliances but one of the huge challenges in WSN is management of energy because the nodes in the network run with battery power. As the replacement of energy drained nodes is difficult, and frequent failure of links may occur and it incurs huge data loss. To avoid this issue the we proposed a Hybrid Krill Herd and Spider Monkey with Grid-Based Data Dissemination (HKHSM-GBDD) protocol with the Shortest Energy Resourceful Routing (SERR) mechanism to develop an efficient and better wireless communication channel. The presented HKHSM framework is utilized to classify malicious and energy drained nodes in earlier stage and to detect the link failure. Furthermore, the SERR mechanism is processed to recover the link and route maintenance. This novel proposed protocol has improved packet delivery ratio and energy consumption. It also enhances energy state of sensor nodes by mounting its lifetime and rerouting. Finally, the competence of the proposed mechanism is compared with existing works and it shows significant improvement over existing algorithms for the considered parameters.  2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</text>
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              <text>Kocherla R.; Vatambeti R.</text>
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              <text>Wireless Personal Communications, Vol-124, No. 1, pp. 49-73.</text>
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              <text>Springer</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/s11277-021-09318-x" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s11277-021-09318-x&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118424376&amp;amp;doi=10.1007%2Fs11277-021-09318-x&amp;amp;partnerID=40&amp;amp;md5=ab6356085ada10fa5c3fdf59021b5d13" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118424376&amp;amp;doi=10.1007%2fs11277-021-09318-x&amp;amp;partnerID=40&amp;amp;md5=ab6356085ada10fa5c3fdf59021b5d13&lt;/a&gt;</text>
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              <text>ISSN: 9296212; CODEN: WPCOF</text>
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              <text>Online</text>
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              <text>Kocherla R., Research Scholar, Computer Science and Engineering, Presidency University, Bengaluru, India; Vatambeti R., Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India</text>
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