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.
Publisher
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Subject
Computer Science Applications,General Engineering,Environmental Engineering
Cited by
16 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Internet of Multimedia Things an Open Source P2P Publish/Subscribe Framework for Massive Semantic Content Spaces;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12
2. An Investigation Using Structural Equation Modelling on Customer Adoption of Internet of Things Assistance;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12
3. Apply Deep Learning-based CNN and LSTM for Visual Image Caption Generator;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12
4. Comparison of Forest Fire Prediction System using Machine Learning Alogrithms;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12
5. Blockchain Technology and its Applications: Focus on Bitcoin and Peer-to-Peer Electronic Currency;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12