Performance analysis of IEEE 802.11s wireless mesh network on RM-AODV path selection protocol

2011 ◽  
Author(s):  
Linhan Feng ◽  
Zhihong Qian ◽  
Dongcheng Jin
Keyword(s):  
Performance Analysis ◽  
Wireless Mesh Network ◽  
Path Selection ◽  
Mesh Network ◽  
Ieee 802.11S ◽  
Wireless Mesh ◽  
Selection Protocol

Performance Analysis for IEEE 802.11s Wireless Mesh Network in Smart Grid

2017 ◽  
Vol 96 (1) ◽  
pp. 1537-1555 ◽  
Author(s):  
Xiaoheng Deng ◽  
Tingting He ◽  
Lifang He ◽  
Jinsong Gui ◽  
Qionglin Peng
Keyword(s):  
Performance Analysis ◽  
Smart Grid ◽  
Wireless Mesh Network ◽  
Mesh Network ◽  
Ieee 802.11S ◽  
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.

Implementation of IEEE 802.11s in OPNET

2014 ◽  
Vol 1049-1050 ◽  
pp. 2135-2138
Author(s):  
Kai Yang
Keyword(s):  
Communication Technology ◽  
Wireless Mesh Network ◽  
Mesh Network ◽  
Generic Model ◽  
Ieee 802.11S ◽  
Research Focus ◽  
Wireless Mesh ◽  
Basic Functions ◽  
Simulation Results ◽  
Mesh Models

Wireless mesh network (WMN) is an up-to-date network emerging with the development of wireless communication technology. Nowadays, it has become more and more popular. Along with this development, its performance has been research focus. However, the problem is that there are less than a handful of tools available to provide IEEE 802.11s mesh nodes or mesh models, which hampers its progressive research. In this paper, we propose a generic model for modeling and simulating IEEE 802.11s in OPNET. A prototype is implemented. According to the analysis of the simulation results, the proposed simulation platform satisfies the workflow of IEEE 802.11s and implements basic functions of IEEE 802.11s, and hence is shown to be an effective tool to develop IEEE 802.11s.

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