Design of Dynamic Source Routing With the Aid of Fuzzy Logic for Cross Layered Mobile Ad Hoc Networks
Saravanan T1, Nithya N S2
1Saravanan T, PhD Scholar Anna University,Chennai, India
2Nithya N S, Associate Professor, Dept of CSE, K.S.R College of Engineering , Tiruchengode, Namakkal, India
Manuscript received on July 30, 2019. | Revised Manuscript received on August 25, 2019. | Manuscript published on August 30, 2019. | PP: 4241-4247 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9024088619/2019©BEIESP | DOI: 10.35940/ijeat.F9024.088619
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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: The conventional dynamic source routing (DSR) standard chooses the path in need of minimal hop counts for communicating the information from the source to the target. Therefore due to node displacements in autonomous self – regulatory ad hoc networks, the path comprising a minimal number of probably increased extent hops do not works well always. Moreover, the presently employed path might split due to the node displacements and the path related data acquired from the path identification might become illogical. For avoiding the probably imprecise nature of the route-related data a fuzzy logic supported scheme is initiated into the routing scheme for evading the control of rough routing related data. Extensively the fuzzy logic supported schemes are probable of operating various inputs which therefore are used for both the anticipated path lifespan and the hop counts as their input thus permitting to combine the physical layer and the network layer into a mutually modeled routing standard. The lifetime of the path is usually minimized based on the increased node displacements. The precise path with increased path constancy is lastly chosen for communicating the data and based on the lifetime of the path the path cache termination time is altered erratically. The illustration is performed for the designed fuzzy based DSR scheme which outdoes the traditional DSR in terms of reasonable network outcomes rather with minimal network governance load. Lastly measuring the influence of the physical layer is performed over the possible behavior of the network layer for various physical layer schemes using NS 2 simulator.
Keywords: Layer, Network Layer, Route Identification, Route Preservation and DSR.