WLAN Mesh Network Interference Management Using FSO Link Deployment

2007 ◽  
Author(s):  
Valavan Rajakumar ◽  
Mohammed N. Smadi ◽  
Sasthi C. Ghosh ◽  
Terence D. Todd ◽  
Steve Hranilovic
Keyword(s):  
Interference Management ◽  
Mesh Network ◽  
Network Interference

scholarly journals On Network Interference Management

2010 ◽  
Vol 56 (10) ◽  
pp. 4941-4955 ◽  
Author(s):  
Aleksandar Jovicic ◽  
Hua Wang ◽  
Pramod Viswanath
Keyword(s):  
Interference Management ◽  
Network Interference

On Network Interference Management

2007 ◽  
Author(s):  
Aleksandar Jovicic ◽  
Hua Wang ◽  
Pramod Viswanath
Keyword(s):  
Interference Management ◽  
Network Interference

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.

COORDINATED DISTRIBUTED SCHEDULING IN WIRELESS MESH NETWORK

2012 ◽  
Vol 3 (3) ◽  
pp. 368-374
Author(s):  
Usha Kumari ◽  
Udai Shankar
Keyword(s):  
Network Performance ◽  
Mesh Networks ◽  
Mac Protocol ◽  
Scheduling Algorithm ◽  
Ieee 802.16 ◽  
Distributed Scheduling ◽  
Mesh Network ◽  
Fourth Generation ◽  
Network Nodes ◽  
Wireless Mesh

IEEE 802.16 based wireless mesh networks (WMNs) are a promising broadband access solution to support flexibility, cost effectiveness and fast deployment of the fourth generation infrastructure based wireless networks. Reducing the time for channel establishment is critical for low latency/interactive Applications. According to IEEE 802.16 MAC protocol, there are three scheduling algorithms for assigning TDMA slots to each network node: centralized and distributed the distributed is further divided into two operational modes coordinated distributed and uncoordinated distributed. In coordinated distributed scheduling algorithm, network nodes have to transmit scheduling message in order to inform other nodes about their transfer schedule. In this paper a new approach is proposed to improve coordinated distributed scheduling efficiency in IEEE 802.16 mesh mode, with respect to three parameter Throughput, Average end to end delay and Normalized Overhead. For evaluating the proposed networks efficiency, several extensive simulations are performed in various network configurations and the most important system parameters which affect the network performance are analyzed

Adaptive Resource Allocation for WiMAX Mesh Network

2019 ◽  
Vol 107 (2) ◽  
pp. 849-867 ◽  
Author(s):  
Mahboubeh Afzali ◽  
Kamalrulnizam AbuBakar ◽  
Jaime Lloret
Keyword(s):  
Resource Allocation ◽  
Mesh Network ◽  
Adaptive Resource Allocation ◽  
Adaptive Resource ◽  
Wimax Mesh Network
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