학술논문

Enhancement of Energy Optimization in Semi Joint Multipath Routing Protocol using QoS Based on Mobile Ad-Hoc Networks
Document Type
Conference
Source
2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Delhi Section Flagship Conference (DELCON), 2023 2nd Edition of IEEE. :1-5 Feb, 2023
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Protocols
Quality of service
Throughput
Routing
Routing protocols
Batteries
Reliability
neural network
MAODV
MANET
routing protocol
AODV
Language
Abstract
Ensuring quality of service (QoS) is a main challenge for mobile ad hoc networks due to the transmission of packet and frequency range giving and ability constraints of Wi-Fi growth. Since the study of protocol of MANET is dynamic, conquering is forever a weighty problem. Therefore, battery performance is a key factor in MANET, which enables reliable communication without interruption of power supply. To avoid packet loss when transmitting data packets, many studies have been conducted to improve battery performance There is currently no information about battery performance optimization in MANET. This paper describes a techniques developed to recover MANET battery life and improve packet transmission quality. Network performance will degrade due to battery dependent nodes in MANET. Therefore, to ensure better performance, we used the protocol Multipath Routing Ad-hoc On Demand Distance Vector (MAODV) and. Neural Network Based Hopfield Disjoint Path Set Selection (NNHDPS). This improves network longevity compared to existing protocols. The results were obtained using a grid simulator, with significantly improved performance compared to existing energy optimization strategies.