Reshma Banu

Work place: GSSSIETW, Mysuru-570016, India

E-mail: Reshma127banu@gmail.com

Website:

Research Interests:

Biography

Dr. Reshma Banu, Professor & HOD,ISE Dept at GSSS Institute of Engg & Technology for women, Mysuru. Has 19 yrs of Teaching and Research Experience. Submitted Book chapters She represented Dept. of ISE during NBA Visit. She succeeded in Getting NBA Accreditation by New Delhi, India, for ISE, Dept. for 3 years in year 2017 and Re-Accreditation for 3 years in year 2020. Won Organized National Competitions /Talk/ Workshop/ Conferences / FDP/ Session / Seminar/Webinars / Student Convention and Received Fund by KSCST in 2017, 2018, 2019 & 2020. Received Funds by (SMYSR). Received Funds by VTU TEQIP 1.3 in 2020.Organizing Chair for 5 IEEE International Conference on Electrical Electronics Communication Computer Technologies & Optimization Techniques ICEECCOT- 2016,2017,2018 & 2019 and National Standards) at GSSSIETW. She has published nearly 40 Research papers in International, National Journals/conferences and book chapters.

Author Articles
Boosted Lara Translation and Assessment Utilizing Fuzzy Grounded Impression in Wireless Communication

By Ayesha Taranum Reshma Banu G. F Ali Ahammed

DOI: https://doi.org/10.5815/ijwmt.2021.06.02, Pub. Date: 8 Dec. 2021

A Wireless Network is an assortment of organization hubs that can work with framework or Adhoc mode. Because of the absence of incorporated control in Adhoc-based remote organizations, planning a steering convention to give a proficient and appropriate technique to course the information with fewer clogs, bundle drop has turned into a difficult issue in remote organizations. The significant goal of the present review is to foster a Load Aware Congestion Control. The further developed rendition of directing conventions is proposed Fuzzy Enhanced Load Aware Routing in Ad hoc (FE-LARA). Here, WNs climate is recreated in MATLAB for different situations to figure LARA and FE-LARA. Outcomes got from this extensive investigation discover that FE-LARA offers a strong improvement in opposition to winning methodology with LARA and it largely concentrates for corresponding flow of load of data amidst various multi-paths which are exposed, lower queue length for various nodes. A network would consequently be resilient to node catastrophes and activate through diminutive or no mainstay substructure

[...] Read more.
Other Articles