Work place: Gurukula Kangri (Deemed to be University)/CS/ Haridwar, Uttarakhand, India
E-mail: surabhipatel30@gmail.com
Website:
Research Interests: Machine Learning
Biography
Surabhi Patel is a Research Scholar at Gurukula Kangri, a deemed university in Haridwar, India.She earned a bachelor's degree in computer science from Dr A.P.J. Abdul Kalam Technical University (APJAKTU) in Uttar Pradesh, India, and a master's degree in computer science from CHRIST University in Bangalore, Karnataka, India. Her areas of interest include ad-hoc networking, soft computing, and algorithm development for machine learning.
DOI: https://doi.org/10.5815/ijcnis.2023.06.05, Pub. Date: 8 Dec. 2023
In Mobile Adhoc Networks (MANETs), nodes are mobile and interact through wireless links. Mobility is a significant advantage of MANETs. However, due to the unpredictable nature of mobility, the link may fail frequently, degrading the Quality of Service (QoS) of MANETs applications. This paper outlines a novel Ad hoc On-Demand Distance Vector with Proactive Alternate Route Discovery (AODV-PARD) routing protocol that uses signal strength-based link failure time estimation. The node predicts the link failure time and warns the upstream node through a warning message about the failure. On the basis of this information, a mechanism for identifying alternate routes is started in order to reroute traffic to the alternate route prior to the link failure. It significantly reduces packet loss and improves all the QoS parameters. The suggested protocol is compared to the traditional Ad hoc On-Demand Distance Vector (AODV) routing protocol and shows that the outlined protocol results in an improvement in QoS.
[...] Read more.DOI: https://doi.org/10.5815/ijcnis.2022.02.05, Pub. Date: 8 Apr. 2022
Ad-hoc networks in which nodes are mobile as well as communicate via wireless links fall under the category of mobile ad-hoc networks (MANETs). Evasive mobility and the limited battery life of MANET nodes make routing a difficult problem. Most of the conventional routing protocols recommend the shortest path without considering route stability into account. A Cross-Layer Design and Fuzzy Logic based Stability Oriented (CLDFL-SO) routing protocol is proposed in this research, which offers a solution for stable route formation by eliminating unstable links and low-quality nodes. Cross-layer interaction parameter based link residual lifetime calculation is used to assess the link's stability. The fuzzy logic is being used to evaluate the node quality by providing node metrics like node speed, residual energy and node degree. The simulations illustrate the efficacy of the suggested protocol in comparison to the popular Ad-hoc On-Demand Distance Vector (AODV) protocol.
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