QOS Optimization in Networks through Meta-Heuristic Quartered Genetic Approach

被引：0
|
作者：
Zafar, Sherin [1 ]
Beg, M. M. S. [2 ]
Soni, M. K. [3 ]
机构：
[1] MRIU, Dept Comp Engn, Faridabad, India
[2] Aligarh Muslim Univ UP, Fac Engn, Aligarh, Uttar Pradesh, India
[3] MRIU, Fac Engn, Faridabad, India
来源：
2015 INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNIQUES AND IMPLEMENTATIONS (ICSCTI) | 2015年
关键词：
routing; shortest path; genetic algorithm; QOS;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In various networks the most critical task is finding of the best fit shortest path between specified source (S) and specified destination (D) and optimization of Quality of Service (QOS) parameters which include end-to-end delay, throughput, packet delivery ratio etc. Meta-heuristic based genetic approach is exploited in this paper to optimize QOS performance of various networks (wireless, ad-hoc, MANET etc) by developing a simulator in MATLAB taking into consideration various QOS parameters like; average packet delivery ratio, average packet drop rate, average end-to-end delay and average hop count.
引用
收藏
页数：6
相关论文
共 50 条
  • [1] Quantum inspired meta-heuristic approach for optimization of genetic algorithm
    Ganesan, Vithya
    Sobhana, M.
    Anuradha, G.
    Yellamma, Pachipala
    Devi, O. Rama
    Prakash, Kolla Bhanu
    Naren, J.
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2021, 94
  • [2] Clustering the Wireless Sensor Networks: A Meta-Heuristic Approach
    Han, Yu
    Li, Gang
    Xu, Rui
    Su, Jian
    Li, Jian
    Wen, Guangjun
    [J]. IEEE ACCESS, 2020, 8 : 214551 - 214564
  • [3] Controllable pitch propeller optimization through meta-heuristic algorithm
    Antonio Bacciaglia
    Alessandro Ceruti
    Alfredo Liverani
    [J]. Engineering with Computers, 2021, 37 : 2257 - 2271
  • [4] Controllable pitch propeller optimization through meta-heuristic algorithm
    Bacciaglia, Antonio
    Ceruti, Alessandro
    Liverani, Alfredo
    [J]. ENGINEERING WITH COMPUTERS, 2021, 37 (03) : 2257 - 2271
  • [5] A Hybrid Meta-Heuristic Approach for QoS-Aware Cloud Service Composition
    Bhushan, S. Bharath
    Reddy, Pradeep C. H.
    [J]. INTERNATIONAL JOURNAL OF WEB SERVICES RESEARCH, 2018, 15 (02) : 1 - 20
  • [6] On a model-free meta-heuristic approach for unconstrained optimization
    Xia, Wei
    He, Deming
    [J]. JOURNAL OF SUPERCOMPUTING, 2024, 80 (15): : 22548 - 22562
  • [7] A new meta-heuristic approach for combinatorial optimization and scheduling problems
    Azizi, Nader
    Zolfaghari, Saeed
    Liang, Ming
    [J]. 2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN SCHEDULING, 2007, : 7 - +
  • [8] A Workflow Optimization by Handling Subjective Attributes with Meta-heuristic Approach
    Sugawara, Kohei
    Fujita, Hamido
    [J]. 2014 10TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2014, : 497 - 502
  • [9] A novel meta-heuristic approach for influence maximization in social networks
    Chatterjee, Bitanu
    Bhattacharyya, Trinav
    Ghosh, Kushal Kanti
    Chatterjee, Agneet
    Sarkar, Ram
    [J]. EXPERT SYSTEMS, 2023, 40 (04)
  • [10] Meta-heuristic approach for the conceptual design and optimization of multistage interceptor
    Zeeshan, Q.
    Yunfeng, D.
    Rafique, A. F.
    Nisar, K.
    Kamran, A.
    [J]. 18TH WORLD IMACS CONGRESS AND MODSIM09 INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: INTERFACING MODELLING AND SIMULATION WITH MATHEMATICAL AND COMPUTATIONAL SCIENCES, 2009, : 4474 - 4480
12345