Internet of Things and Cloud Computing

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Building Multile Multicast Trees with Guarranteed QOS for Service Based Routing Using Artificial Algorithms

Received: 01 June 2015    Accepted: 02 June 2015    Published: 11 June 2015
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Abstract

In Service Based Routing (SBR), data is transmitted from a source node to destination nodes are not depended on destination addresses. Hence, it is comfortable with new advanced technology as cloud computing and also flexible and reliable. Multicast routing is advanced technique to deliver data simultaneously from one source node to multiple destination nodes with QOS (quality of service). In this paper, we introduce a technique that is extended from multicast technique with multiple multicast trees that are conformed quality of service routing. This technique is based on Greedy, Ant Colony Optimization, and fuzzy logic to get optimal routes to transmit data from one source to multiple destination node very effectively. The usage of the ANT Colony optimization, Greedy, fuzzy logic algorithms to find cyclic or multiple paths routes on each trunk by multiple criterions to transmit data effectively.

DOI 10.11648/j.iotcc.s.2015030601.13
Published in Internet of Things and Cloud Computing (Volume 3, Issue 3, October 2015)
Page(s) 29-32
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

MANET, Service, Routing, Multi-Paths, Bandwidth, Cluster, ANT, Tree, Multicast, Colony, Optimization, Greedy, QOS, MST

References
[1] Nguyen Thanh Long, Nguyen Duc Thuy, Pham Huy Hoang, Research on Applying Hierachical Clustered Based Routing Technique Using Artificial Intelligence Algorithms for Quality of Service of Service Based Routing, Internet of Things and Cloud Computing. Special Issue:Quality of Service of Service Based Routing. Vol. 3, No. 6-1, 2015, pp. 1-8. doi: 10.11648/j.iotcc.s.2015030601.11.
[2] Nguyen Thanh Long, Nguyen Duc Thuy, Pham Huy Hoang, Research on Innovating and Applying Evolutionary Algorithms Based Hierarchical Clustering and Multiple Paths Routing for Guaranteed Quality of Service on Service Based Routing, Internet of Things and Cloud Computing. Special Issue:Quality of Service of Service Based Routing. Vol. 3, No. 6-1, 2015, pp. 9-15. doi: 10.11648/j.iotcc.s.2015030601.12.
[3] Kartheek Srungaram, Dr. MHM Krishna Prasad, Department of Information Technology, JNTUK-UCEV, Vizianagaram, A.P, India, “ENHANCED CLUSTER BASED ROUTING PROTOCOL FOR MANETS”.
[4] Cândida Ferreira, Departamento de Ciências Agrárias, Universidade dos Açores, 9701-851 Terra-Chã, Angra do Heroísmo, Portugal, “Gene Expression Programming: A New Adaptive Algorithm for Solving Problems”.
[5] Bibhash Roy, Tripura Institute of Technology, Narsingarh, Tripura, India, “Ant Colony based Routing for Mobile Ad-Hoc Networks towards Improved Quality of Services”.
[6] Nguyen Thanh Long, Nguyen Duc Thuy, Pham Huy Hoang, “Innovating R Tree to Create Summary Filter for Message Forwarding Technique in Service-Based Routing”, Springer, ISBN: 978-3-642-41773-3, LNICST 121, p. 178, 2013.
[7] Research on Innovating, Applying Multiple Paths Routing Technique Based on Fuzzy Logic and Genetic Algorithm for Routing Messages in Service - Oriented Routing: Long Thanh Nguyen, Tam Nguyen The, Chien Tran, Thuy Nguyen Duc. Journal: Scalable Information Systems EAI.
[8] A Particle Swarm Optimization with Adaptive Multi-Swarm Strategy for Capacitated Vehicle Routing Problem. Kui-Ting Chen, Ke Fan, Yijun Dai and Takaaki Baba, 1Research Center and Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Kitakyushu, Fukuoka, Japan.
[9] Z. Pooranian, A. Barati and A. Movaghar, “Queen-bee Algorithm for Energy Efficient Clusters in Wireless Sensor Networks”, World Academy of Science, Engineering and Technology 49 2011.
[10] Anjum A. Mohammed, Information Technology Department, College of Computer and Information Sciences,King Saud University, KSA, “Optimal Routing In Ad-Hoc Network Using Gene Algorithm”.
[11] B.G.Obulla Reddy, Maligela Ussenaiah, Rayalaseema University, Andhra Pradesh, India, “An Adaptive Fuzzy Clustering and Location Management inMobile Ad Hoc Networks”, International Journal of Computer Applications & Information TechnologyVol. I, Issue III, November 2012 (ISSN: 2278-7720).
Author Information
  • Software development division III, Informatics Center of Hanoi Telecommunications, Hoan Kiem, Hanoi, Vietnam

  • Center for applied research and technology development, Research institute of Posts and telecommunications, Hanoi, VietNam

  • Information technology institute, Ha Noi University of Science Technology, Hanoi, Vietnam

Cite This Article
  • APA Style

    Nguyen Thanh Long, Nguyen Duc Thuy, Pham Huy Hoang. (2015). Building Multile Multicast Trees with Guarranteed QOS for Service Based Routing Using Artificial Algorithms. Internet of Things and Cloud Computing, 3(3), 29-32. https://doi.org/10.11648/j.iotcc.s.2015030601.13

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    ACS Style

    Nguyen Thanh Long; Nguyen Duc Thuy; Pham Huy Hoang. Building Multile Multicast Trees with Guarranteed QOS for Service Based Routing Using Artificial Algorithms. Internet Things Cloud Comput. 2015, 3(3), 29-32. doi: 10.11648/j.iotcc.s.2015030601.13

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    AMA Style

    Nguyen Thanh Long, Nguyen Duc Thuy, Pham Huy Hoang. Building Multile Multicast Trees with Guarranteed QOS for Service Based Routing Using Artificial Algorithms. Internet Things Cloud Comput. 2015;3(3):29-32. doi: 10.11648/j.iotcc.s.2015030601.13

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  • @article{10.11648/j.iotcc.s.2015030601.13,
      author = {Nguyen Thanh Long and Nguyen Duc Thuy and Pham Huy Hoang},
      title = {Building Multile Multicast Trees with Guarranteed QOS for Service Based Routing Using Artificial Algorithms},
      journal = {Internet of Things and Cloud Computing},
      volume = {3},
      number = {3},
      pages = {29-32},
      doi = {10.11648/j.iotcc.s.2015030601.13},
      url = {https://doi.org/10.11648/j.iotcc.s.2015030601.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.iotcc.s.2015030601.13},
      abstract = {In Service Based Routing (SBR), data is transmitted from a source node to destination nodes are not depended on destination addresses. Hence, it is comfortable with new advanced technology as cloud computing and also flexible and reliable. Multicast routing is advanced technique to deliver data simultaneously from one source node to multiple destination nodes with QOS (quality of service). In this paper, we introduce a technique that is extended from multicast technique with multiple multicast trees that are conformed quality of service routing. This technique is based on Greedy, Ant Colony Optimization, and fuzzy logic to get optimal routes to transmit data from one source to multiple destination node very effectively. The usage of the ANT Colony optimization, Greedy, fuzzy logic algorithms to find cyclic or multiple paths routes on each trunk by multiple criterions to transmit data effectively.},
     year = {2015}
    }
    

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    AU  - Nguyen Thanh Long
    AU  - Nguyen Duc Thuy
    AU  - Pham Huy Hoang
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    AB  - In Service Based Routing (SBR), data is transmitted from a source node to destination nodes are not depended on destination addresses. Hence, it is comfortable with new advanced technology as cloud computing and also flexible and reliable. Multicast routing is advanced technique to deliver data simultaneously from one source node to multiple destination nodes with QOS (quality of service). In this paper, we introduce a technique that is extended from multicast technique with multiple multicast trees that are conformed quality of service routing. This technique is based on Greedy, Ant Colony Optimization, and fuzzy logic to get optimal routes to transmit data from one source to multiple destination node very effectively. The usage of the ANT Colony optimization, Greedy, fuzzy logic algorithms to find cyclic or multiple paths routes on each trunk by multiple criterions to transmit data effectively.
    VL  - 3
    IS  - 3
    ER  - 

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