Adaptive Buffer Handling with Optimal Power Allocation-based QoS-Satisfied Multicast Routing Protocol

Authors : R. Suganya; Dr. Vasantha Kalyani David

Volume/Issue : Volume 6 - 2021, Issue 11 - November

Google Scholar :

Scribd :

Mobile Adhoc Networks (MANETs) commonly use innovative technologies to improve Quality-of-Service (QoS) while transporting different data speeds. Due to variations in the node's proximity, this type of network has a significant forwarding latency and inefficient data transmission rates. To combat this challenge, an Extending Lifespan and QoS-Satisfied Multicast using Multiple Learned rate (ELQSSM-ML)-based routing protocol was suggested which reduces the energy usage and allocates the transmit energy in an adaptive manner. But, the dynamics of the buffer were not considered, which causes the data loss and latency. Hence, this article proposes an Extending Lifespan and Enhanced QSSM-ML (ELEQSSM-ML)- based routing protocol to decrease the packet loss by applying an adaptive hop-aware buffer handling technique. First, the buffer size of all nodes in the network is partitioned into different segments according to the number of hops and QoS for multiple classes of packets. Then, the dimension of each segment is adaptively finetuned based on the traffic load and reliability thresholds. Here, the reliability thresholds for each class of packet are optimized by using the Reinforcement Learning (RL) strategy to defend the packet loss. Further, the simulation outcomes show that the ELEQSSM-ML-based protocol achieves superior efficiency in multicast routing compared to the traditional protocols.

Keywords : Multi-rate MANET, Multicast routing, ELQSSMML, Buffer handling, Hop count, Reinforcement learning.


Paper Submission Last Date
31 - May - 2022

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.