Mesh Routers Placement by WMN-PSODGA Hybrid Intelligent System Considering Stadium Distribution and RDVM: A Comparison Study for Different Crossover Methods

被引:1
|
作者
Barolli, Admir [1 ]
Bylykbashi, Kevin [2 ]
Qafzezi, Ermioni [3 ]
Sakamoto, Shinji [4 ]
Barolli, Leonard [2 ]
Takizawa, Makoto [5 ]
机构
[1] Aleksander Moisiu Univ Durres, Dept Informat Technol, L1 Rruga & Currilave, Durres, Albania
[2] Fukuoka Inst Technol, Dept Informat & Commun Engn, Higashi Ku, 3-30-1 Wajiro Higashi, Fukuoka 8110295, Japan
[3] Fukuoka Inst Technol, Grad Sch Engn, Higashi Ku, 3-30-1 Wajiro Higashi, Fukuoka 8110295, Japan
[4] Kanazawa Inst Technol, Dept Informat & Comp Sci, 7-1 Ohgigaoka, Nonoichi, Ishikawa 9218501, Japan
[5] Hosei Univ, Fac Sci & Engn, Dept Adv Sci, 3-7-2 Kajino Machi, Koganei, Tokyo 1848584, Japan
关键词
PARTICLE SWARM OPTIMIZATION; SIMULATION SYSTEM; IMPLEMENTATION; ALGORITHM;
D O I
10.1007/978-3-031-14627-5_19
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Designing a robust Wireless Mesh Network (WMN) at low cost requires the use of the least possible mesh routers but still inter-connected and able to offer full coverage. Therefore, the placement of mesh routers over the area of interest is a problem that entails thorough planning. In our previous work, we implemented a simulation system that deals with this problem by considering Particle Swarm Optimization (PSO) and Distributed Genetic Algorithm (DGA), called WMN-PSODGA. In this paper, we compare the results of Stadium distribution of mesh clients for Unimodal Normal Distribution Crossover (UNDX), Multi-parental UNDX (UNDX-m), and Simplex Crossover (SPX) methods with Rational Decrement of Vmax Method (RDVM) as a router replacement method. The simulation results show that UNDX achieves full client coverage, better connectivity and improved load balance.
引用
收藏
页码:199 / 211
页数:13
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