Robust bandwidth allocation in wireless mesh network

2012 ◽  
Author(s):  
Tran Kien Thuc ◽  
Sudarshan Guruacharya ◽  
Dusit Niyato
Keyword(s):  
Bandwidth Allocation ◽  
Wireless Mesh Network ◽  
Mesh Network ◽  
Wireless Mesh

scholarly journals Bandwidth Allocation Based on Traffic Load and Interference in IEEE 802.16 Mesh Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Sanjeev Jain ◽  
Vijay Shanker Tripathi ◽  
Sudarshan Tiwari
Keyword(s):  
Bandwidth Allocation ◽  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Mesh Network ◽  
Traffic Load ◽  
Routing Metric ◽  
Bandwidth Utilization ◽  
Throughput Performance ◽  
Wireless Mesh ◽  
Simulation Results

This paper introduces a traffic load and interference based bandwidth allocation (TLIBA) scheme for wireless mesh network (WMN) that improves the delay and throughput performance by proper utilization of assigned bandwidth. The bandwidth is allocated based jointly on traffic load and interference. Then a suitable path is selected based upon the least routing metric (RM) value. Simulation results are presented to demonstrate the effectiveness of the proposed approach which indicates higher bandwidth utilization and throughput as compared with existing fair end-to-end bandwidth allocation (FEBA).

Review on Fog Based Spectrum Sensing for Artificial Intelligence

2018 ◽  
pp. 66-70
Author(s):  
A. Rethina Palin ◽  
I. Jeena Jacob
Keyword(s):  
Bandwidth Allocation ◽  
Situational Awareness ◽  
Cluster Head ◽  
Mesh Network ◽  
Network Systems ◽  
Markov Logic ◽  
Wireless Mesh ◽  
Local Environments ◽  
Reactive Routing ◽  
The Hierarchical Structure

Wireless Mesh Network (MWN) could be divided into proactive routing, reactive routing and hybrid routing, which must satisfy the requirements related to scalability, reliability, flexibility, throughput, load balancing, congestion control and efficiency. DMN (Directional Mesh Network) become more adaptive to the local environments and robust to spectrum changes. The existing computing units in the mesh network systems are Fog nodes, the DMN architecture is more economic and efficient since it doesn’t require architecture- level changes from existing systems. The cluster head (CH) manages a group of nodes such that the network has the hierarchical structure for the channel access, routing and bandwidth allocation. The feature extraction and situational awareness is conducted, each Fog node sends the information regarding the current situation to the cluster head in the contextual format. A Markov logic network (MLN) based reasoning engine is utilized for the final routing table updating regarding the system uncertainty and complexity.

Sign in / Sign up

Export Citation Format

Share Document