NDLI: A GA-Based Simulation System for WMNs: Performance Analysis of WMN-GA System for Different WMN Architectures Considering DCF and EDCA

Content Provider	IEEE Xplore Digital Library
Author	Oda, T. Ikeda, M. Barolli, L. Xhafa, F. Takizawa, M.
Copyright Year	2015
Description	Author affiliation: Dept. of Adv. Sci., Hosei Univ., Koganei, Japan (Takizawa, M.) \|\| Dept. of Inf. & Commun. Eng, Fukuoka Inst. of Technol., Fukuoka, Japan (Ikeda, M.; Barolli, L.) \|\| Grad. Sch. of Eng., Fukuoka Inst. of Technol., Fukuoka, Japan (Oda, T.) \|\| Dept. of Languages & Inf. Syst., Tech. Univ. of Catalonia, Barcelona, Spain (Xhafa, F.)
Abstract	Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers. Node placement problems have been investigated for a long time in the optimization field due to numerous applications in location science. In our previous work, we evaluated WMN-GA system which is based on Genetic Algorithms (GAs) to find an optimal location assignment for mesh routers. In this paper, we evaluate the performance of two WMN architectures considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3 and Optimized Link State Routing (OLSR). We compare the performance for Distributed Coordination Function (DCF) and Enhanced Distributed Channel Access (EDCA) for normal distribution of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the throughput of I/B WMN is higher than Hybrid WMN architecture. The delay and jitter of Hybrid WMN is a lower compared with I/B WMN. The fairness index of 10 and 20 flows is higher than 30 flows for both architectures. In I/B architecture the fairness index of DCF is higher than EDCA. However, for Hybrid WMN, the fairness index of EDCA is higher than DCF.
Starting Page	232
Ending Page	238
File Size	418904
Page Count	7
File Format	PDF
e-ISBN	9781467376952
DOI	10.1109/INCoS.2015.81
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-02
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Different Architectures Multiple Flows Collaboration DCF OLSR Wireless Mesh Networks Artificial intelligence Genetic Algorithms EDCA SGC NCMC NS-3
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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