• venkatasubramanian

Due to its way of installation and management, as well as aspects like Node level in energy, randomly moveable nature, and signal processing, the general behavior of MANETs differs at varying phases. This form of dynamicity leads to or necessitates over-concentration, as well as a higher level of security and routing stability. A novel technique is called Fuzzy Secured Node Selection Routing (FSNSR). It has been proposed to address these challenges and increase security. It offers the TNS and good productivity with energy consumption in terms of dynamicity and security. This method FSNSR delivers dynamicity and high reliability to nodes, allowing them to move often without compromising security and achieving greater efficiency instability. Transmission is a crucial aspect of the infrastructure of MANETs, is one of the key problems that these networks confront. This research provides a layered (GA) methodology that optimizes the transmitting ability of these networks using neural network fitness. Rather than treating programming optimization as an inter-problem with multiple model outputs that must be tuned, the suggested method takes a different approach which concentrates on just one evaluation metric or network strategy time. This is the time it takes for information to reach a particular % of the channel's connected customers. Various decision factors of the DFCN broadcasting system are tuned to maximize the time

Broadcasting, f-logic, FSNSR, MANET, routing algorithm, stability, energy consumption, security

"NESTED GENETIC ALGORITHM AND FUZZY SECURED NODE SELECTION ROUTING PROTOCOL FOR MANET OPTIMIZATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.b713-b721, June-2022, Available :http://www.jetir.org/papers/JETIR2206194.pdf

"NESTED GENETIC ALGORITHM AND FUZZY SECURED NODE SELECTION ROUTING PROTOCOL FOR MANET OPTIMIZATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppb713-b721, June-2022, Available at : http://www.jetir.org/papers/JETIR2206194.pdf