Link breakage maintenance and power-aware secure routing in MANET based on the Fuzzy Krill Herd-based Grasshopper optimization
Nukam Reddy Srinadh1, B. Satyanarayana2
1Nukam Reddy Srinadh, Research Scholar, Rayalaseema University, Kurnool. & Assoc. Professor, Dept of CSE, VEC, Kavali, A.P, India.
2Dr. B. Satyanarayana, Professor in Computer Science &Technology., Sri Krishnadevaraya University, Anantapur ,A.P , India.
Manuscript received on November 15, 2019. | Revised Manuscript received on 23 November, 2019. | Manuscript published on December 10, 2019. | PP: 766-774 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6878129219/2019©BEIESP | DOI: 10.35940/ijitee.B6878.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As Mobile Ad hoc Networks (MANETs) are established using battery-powered nodes, the major concern to minimize the power consumption of the nodes is still a challenge while the lifetime of the network is taken into account. Thus, power-aware routing is the effective way to handle the situation that aims at minimizing the power consumption and network overhead in order to increase the network lifespan. Therefore, an effective power-aware secure routing protocol is designed using the proposed Fuzzy Krill Herd-based Grasshopper Optimization Algorithm (Fuzzy KH-GOA) such that the secure path is determined. Hence, it is evident that the routing path for transmitting the data packets is effectively decided using the proposed algorithm, which is based on the fitness parameters, such as fuzzy function, delay, distance, and power consumed by the path. The significance of this research relies on the link lifetime estimation for which the lifetime of the routes is detected in order to measure the link failure. The performance of the proposed Fuzzy KH-GOA reported the values of 23.858 J, 0.016 sec, 0.783, 0.840, and 10.908 sec, respectively in the absence of the attack and 22.624J, 22.624sec, 0.773, 0.812, and 9.862sec, respectively in the presence of attack for the measures, such as power, delay, Detection Rate (DR), throughput, and average Link Life Time.
Keywords: Grasshopper Optimization Algorithm (GOA), Krill Herd Algorithm, MANET, Routing Protocol, Link Breakage.
Scope of the Article: Algorithm Engineering