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LF Distribution and Equilibrium Optimizer Based Fuzzy Logic for Multipath Routing in MANET - 2021

LF Distribution and Equilibrium Optimizer Based Fuzzy Logic for Multipath Routing in MANET

Research Area:  Mobile Ad Hoc Networks


In the mobile ad hoc network (MANET), the optimal route recognition is considered to be the major issue in the multipath routing technique. Selecting a multipath is also considered as one of the challenging tasks to enhance the network lifetime. The routing protocol imagines several parameters such as enlarged power, link failures, obstacles, and topological changes during the exploration of the optimal route. In this, the optimal loop-free route is established by Equilibrium optimizer (EO) with fuzzy logic and this assures developing continuity. In the proposed algorithm, five phases are elucidated; route exploration, route maintenance, route recovery, reactive path setup and multipath routing setup phase. Initially, in the route exploration phase the equilibrium optimizer algorithm with fuzzy logic is used to establish the optimal routing for the packet transmission. For the appropriate node selection for routing, levy flight distribution mechanism is used in this paper. In the route maintenance phase, compute the status of the node prior to the data transmission. In the route recovery phase or the backward process, the backward reply from the destination is created. In the fourth phase, reactive path setup process is utilized. Finally in the multipath process, the multipath setup process is utilized for the header by the intermediate node. The proposed approach is evaluated by some of the performance measures such as throughput, energy consumption, end-to-end delay, packet delivery ratio, routing overhead and optimal path. This results describes that the proposed approach outperforms other existing approaches.


Author(s) Name:  R. Hemalatha,R. Umamaheswari,S. Jothi

Journal name:  Wireless Personal Communications

Conferrence name:  

Publisher name:  Springer

DOI:  10.1007/s11277-021-08537-6

Volume Information:  volume 120, pages 1837–1861 (2021)