scholarly journals Performance Analysis of Wireless Mesh Network Using Adaptive Informant Factor Based Optimized Channel Allocation

2018 ◽  
Vol 9 (4/5) ◽  
pp. 01-15
Author(s):  
Chethan K C ◽  
Basavaraju T G
Keyword(s):  
Performance Analysis ◽  
Wireless Mesh Network ◽  
Channel Allocation ◽  
Mesh Network ◽  
Wireless Mesh

scholarly journals PERFORMANCE ANALYSIS AND QOS FRAMEWORK OF FLY WİRELESS NETWORK

2019 ◽  
Vol 01 (02) ◽  
pp. 103-115
Author(s):  
Durai Pandian M
Keyword(s):  
Quality Of Service ◽  
Performance Analysis ◽  
Wireless Network ◽  
Wireless Mesh Network ◽  
Environmental Changes ◽  
Mesh Networks ◽  
Access Point ◽  
Mesh Network ◽  
Wireless Mesh

The spread out of wireless mesh network has made possible the extended range of communication network that are impractical due to environmental changes in a wired access point, these wireless mesh network does not require much competence to set it up as it can be set very fast at a cheap rate, and the conveyancing of messages in it happens by selecting the shortest path, these wireless mesh built-in with irrepressible and invulnerable identities come with an endurance to temporary congestion and individual node failure. This results in an architecture providing a better coverage, flaw indulgent with higher bandwidth compared to other wireless distributed systems. But faces the limitation on power conservation. The battery activated mesh nodes loses their resources on perception, processing and transmission of the data’s, though these batteries or accumulators comes with energy regaining capability still draw backs show up as their nature of energy regaining are unexposed. So the performance analysis of fly wireless network which proposes a uninterrupted wireless mesh networks aims at providing a best measure of performance that is the best quality of service on the meshwork by providing an improved energy gleaning using potency segregation (IGPS) which empowers each node to have self- contained accumulation of energy achieving heightened adaption with energy consumption kept at a minimum. The gross functioning of the proposed is examined on the bases of delay and packet loss to prove the quality of service acquired.

Wireless Mesh Network Technical Security Performance Analysis

2013 ◽  
Vol 325-326 ◽  
pp. 1738-1741
Author(s):  
Dong Ya Chen
Keyword(s):  
Information Technology ◽  
Performance Analysis ◽  
Wireless Mesh Network ◽  
Safety Performance ◽  
Mesh Network ◽  
Research Results ◽  
Wireless Mesh

Along with the development of information technology, the Wireless Mesh Network gradually unfolded itself. This paper presents the development of Wireless Mesh Network, the existing research results and safety performance analysis.

scholarly journals Adaptive Allocation Algorithm for Multi-Radio Multi-Channel Wireless Mesh Networks

2020 ◽  
Vol 12 (8) ◽  
pp. 127
Author(s):  
Walaa Hassan ◽  
Tamer Farag
Keyword(s):  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Channel Allocation ◽  
Decision Function ◽  
Mesh Network ◽  
Network Simulator ◽  
Allocation Algorithm ◽  
Adaptive Allocation ◽  
Wireless Mesh ◽  
Overall Performance

The wireless mesh network (WMN) has proven to be a great choice for network communication technology. WMNs are composed of access points (APs) that are installed and communicate with each other through multi-hop wireless networks. One or more of these APs acts as a gateway (GW) to the internet. Hosts of WMNs are stationary or mobile. According to the structure of WMNs, some network features may be affected, such as the overall performance, channel interference, and AP connectivity. In this paper, we propose a new adaptive channel allocation algorithm for a multi-radio multi-channel wireless mesh network. The algorithm is aimed to minimize the number of channel reassignments while maximizing the performance under practical constraints. The algorithm defines a decision function for the channel reassignments. The decision function aims to minimize the traffic around the GW. Whenever the traffic changes in the wireless mesh network, the decision function decides which channel radio reassignment should be done. We demonstrated the effectiveness of our algorithm through extensive simulations using Network Simulator 2 (NS-2).

scholarly journals Research on Algorithms of Spatial-Temporal Multi-Channel Allocation Based on the Greedy Algorithm for Wireless Mesh Network

2014 ◽  
Vol 8 (1) ◽  
pp. 690-694
Author(s):  
Yiyong Wang ◽  
David Baker
Keyword(s):  
Wireless Network ◽  
Greedy Algorithm ◽  
Wireless Mesh Network ◽  
Channel Allocation ◽  
Mobile Internet ◽  
Utilization Efficiency ◽  
Mesh Network ◽  
Advantages And Disadvantages ◽  
Wireless Mesh ◽  
The Greedy Algorithm

With the development of mobile Internet and wireless network as well as the rapid increasing number of users, people’s demand for broadband is increasing sharply, making further capacity expansion of the network the major problem for researchers. Wireless Mesh network has the advantages of high network coverage and flexible networking, especially multi-hop wireless network, its important networking format takes full use of the feature of orthogonal channel to raise the throughput of wireless network and utilization efficiency of broadband dramatically and make the channel resources allocation more flexible. This paper points out the advantages and disadvantages of Mesh network by analyzing some relatively classic algorithms based on the research of Mesh network technology in order to increase utilization efficiency of orthogonal channel further. At the same time, it proposes Spatial-Temporal Multi-Channel Allocation Based on the Greedy Algorithm for Wireless Mesh Network which takes the channel allocated in previous slot time into consideration and allocates channels to different ports to reduce the switching time and other costs. Giving the direction of nodes is up stream, it requires well-functioning nodes near the gateway. Any network fault will influence other nodes near these gateways. This allocation realizes the communication between nodes on original channel nodes, increasing utilization efficiency significantly and reducing the burden of parent node. In the end, this paper makes a conclusion of the main work.

Sign in / Sign up

Export Citation Format

Share Document