An Improved Multi-Objective Particle Swarm Optimization Routing on MANET
نویسندگان
چکیده
A Mobile Ad hoc Network (MANET) is a group of low-power consumption wireless mobile nodes that configure network without the assistance any existing infrastructure/centralized organization. The primary aim MANETs to extend flexibility into self-directed, mobile, and domain, in which cluster autonomous forms MANET routing system. An Intrusion Detection System (IDS) tool examines for malicious behavior/policy violations. monitoring system often used report/gather suspicious attacks/violations. IDS software program or hardware monitors network/security traffic attacks, sending out alerts whenever it detects nodes. impact Dynamic Source Routing (DSR) challenging blackhole attack investigated this research article. Cluster Trust Adaptive Acknowledgement (CTAA) method identify unauthorised malfunctioning environment. active provides successful delivery data packet, implements Kalman Filters (KF) anticipate node trustworthiness. Furthermore, KF eliminate synchronisation errors arise during receiving data. In order provide an energy-efficient solution minimize traffic, route optimization by using Multi-Objective Particle Swarm Optimization (MOPSO) technique determine optimal number clustered along with energy dissipation According findings, proposed CTAA-MPSO achieves Packet Delivery Ratio (PDR) 3.3%. MANET, PDR improves CTAA-PSO 3.5% at 30% malware.
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ژورنال
عنوان ژورنال: Computer systems science and engineering
سال: 2023
ISSN: ['0267-6192']
DOI: https://doi.org/10.32604/csse.2023.026137