Implementation of IEEE 802.11s in OPNET

2014 ◽  
Vol 1049-1050 ◽  
pp. 2135-2138
Author(s):  
Kai Yang

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.

2013 ◽  
Vol 347-350 ◽  
pp. 2001-2006
Author(s):  
Guo An Zhang ◽  
Yun Yang ◽  
Yan Cheng Ji

Spectrum sharing technologies can achieve the maximum usage of spectrum resources flexibly and high-efficiently, which relieves the current spectrum crunch situation availably. In a multi-hop cognitive wireless mesh network scenario coexisting with a TDMA/FDMA cellular network, an effective scheme of cross-layer design between link-layer spectrum decision and network-layer routing is proposed, on the basis of the combination of spectrum underlay and spectrum overlay. Simulation results verify that the scheme outperforms distinctly the shortest path based random spectrum decision algorithm on network end-to-end performance.


2019 ◽  
Vol 8 (2) ◽  
pp. 2666-2670

Ubiquitous of modern era which utilises Hybrid Wireless Mesh Network (HWMN) topology which gave birth to ample of modern application which demands reliability, fault tolerance and scalability. HWSN topology utilises minimum of two or multiple standard network architectural topologies, in a fashion that the resultant network architecture doesn’t depict any particular topologies like bus, star or ring but as a combination of any of those standard topologies. Prime motive of the proposed Optimised Channel Assignment Algorithm (OCSA) is which focuses on priority oriented interference minimization for all the trees which are existed, and constraint in terms of delay for evolving tree addition. Interference Aware Bandwidth Reservation (IABR) provides controllability over data flow admission for end-to-end optimal bandwidth accommodation in Multi-Radio Multi-Channel (MRMC) wireless mesh network. Proposed Priority Based Interference Aware Bandwidth Reservation (PBIABR) utilises disseminated and polynomialtime heuristic oriented assignment in channel to minimize interference in WMN with the awareness of channel priority as a primary consideration. Interference and Priority of the channel are made indirectly proportional to each other. For the channel of high priority the path which has low interference is opted. In PBIABR the whole path delay constraint of tree is sub organised into multiple node, based on delay to identify the best node which embodies minimal interference. Dominant Performance Parameters (DPP) like Throughput, Packet Size, Propagation Interval and Average Energy under HWSN Scenario. All the DPP parameters are analysed for multiple flow parameters for Interference Aware Bandwidth Reservation (IABR) and Proposed Priority Based Interference Aware Bandwidth Reservation (PBIABR) conditions. Simulation results have been captured using Network Simulator 2 tools for HWSN creation and crafted to same readings as a graph for deep analysis. The proposed simulation results for hybrid scenario highlights a considerable performance hike for the performance parameters like Throughput (bps) vs Packet size (bytes), Average Energy (joule) vs Interval (sec) and Residual Energy (joule) vs Interval (sec) under PBIABR conditions compared with IABR simulation outcome. The results have been analysed for comparative study of each parameter deeply. Inference from the comparative analysis highlights the performance parameters of PBIABR is efficient than IABR.


2012 ◽  
Vol 241-244 ◽  
pp. 2370-2374
Author(s):  
Zhi Hui Ge ◽  
Wei Wei Wang ◽  
Tao Shen Li

In wireless mesh network, handoff decision strategy chooses targets according to the detected signal strength, in which way too many mesh clients will be associated to routes with stronger signal strength, resulting in severe load imbalance and a huge waste of wireless resource. In this paper, we propose a new first-price sealed auction game handoff strategy, which takes into consideration the signal strength and network load when choosing handoff target. This strategy assures the fairness during the handoff process as well as the load balance in the wireless mesh network. The simulation results show that our proposed strategy achieves better performance in the aspects of user number and signal strength.


2017 ◽  
Vol 96 (1) ◽  
pp. 1537-1555 ◽  
Author(s):  
Xiaoheng Deng ◽  
Tingting He ◽  
Lifang He ◽  
Jinsong Gui ◽  
Qionglin Peng

2008 ◽  
Vol 68 (3) ◽  
pp. 291-305 ◽  
Author(s):  
Timo Vanhatupa ◽  
Marko Hännikäinen ◽  
Timo D. Hämäläinen

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