Machine Learning-Based Hybrid SSO-MA with Optimized Secure Link State Routing Protocol in Manet  

作　　者：Varsha Ashok Khandekar Praveen Gupta 

机构地区：[1]Chhatrapati Shivaji Maharaj University,Maharastra,Navi Mumbai 410206,India

出　　处：《China Communications》2025年第3期164-180,共17页中国通信(英文版)

摘　　要：A decentralized network made up of mobile nodes is termed the Mobile Ad-hoc Network(MANET).Mobility and a finite battery lifespan are the two main problems with MANETs.Advanced methods are essential for enhancing MANET security,network longevity,and energy efficiency.Hence,selecting an appropriate cluster.The cluster’s head further boosts the network’s energy effectiveness.As a result,a Hybrid Swallow Swarm Optimisation-Memetic Algorithm(SSO-MA)is suggested to develop the energy efficiency&of the MANET network.Then,to secure the network Abnormality Detection System(ADS)is proposed.The MATLAB-2021a platform is used to implement the suggested technique and conduct the analysis.In terms of network performance,the suggested model outperforms the current Genetic Algorithm,Optimised Link State Routing protocol,and Particle Swarm Optimisation techniques.The performance of the model has a minimum delay in the range of 0.82 seconds and a Packet Delivery Ratio(PDR)of 99.82%.Hence,the validation shows that the Hybrid SSO-MA strategy is superior to the other approaches in terms of efficiency.

关 键 词：attack detection system cluster head selection clustering mobile Ad-hoc network soft k-Means SSO-MA optimization algorithm 

分 类 号：TN915.04[电子电信—通信与信息系统] TP181[电子电信—信息与通信工程]