Volume 13 Number 7 (Jul. 2018)
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JCP 2018 Vol.13(7): 862-875 ISSN: 1796-203X
doi: 10.17706/jcp.13.7.862-875

A Reliable Based Multicast Approach Using by Fuzzy Logic System for Improvement QoS in Mobile Ad-hoc Networks

Shahram Zandiyan1, Abbas Mirzaei Somarin2
1Department of Computer engineering. Ardabil Science and Research Branch. Islamic Azad University. Ardabil, Iran.
2Department of Computer engineering. Ardabil branch. Islamic Azad University. Ardabil, Iran.


Abstract—In this paper, we proposed a fuzzy logic based multicast approach to select two comparably stable routes by computing dynamic route lifetime in mobile ad-hoc networks (MANETs). The fuzzy logic weighted multi-criteria of the protocol is used to dynamically evaluate the active route lifetime in order to determine the appropriate routes. Multiple routing paths are established to provide multicast transmission and enhance the robust transmission against unreliability and limited bandwidth of wireless links. Due to frequent node movements, the topologies of mobile ad hoc networks change rapidly. The evaluation of dynamic route lifetime is challenging in the wireless networks. The fuzzy weighted logic multi-criteria are based on the minimum consumption energy of the nodes on the routes, the number of hop-counts and the controlled packages. The proposed approach, called RM-Approach (Reliable Multicast Approach) employ FLS (Fuzzy Logic System) to improvement QoS in MANETs. RM-Approach is evaluated through extensive simulations in the ns-2 environment. The results show that RM-Approach outperforms other existing solutions in terms of delivery ratio, end-to-end delay and lifetime.

Index Terms—MANETs, multicast routing protocol, fuzzy logic system, RM-approach.

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Cite: Shahram Zandiyan, Abbas Mirzaei Somarin, "A Reliable Based Multicast Approach Using by Fuzzy Logic System for Improvement QoS in Mobile Ad-hoc Networks," Journal of Computers vol. 13, no. 7, pp. 862-875, 2018.

General Information

ISSN: 1796-203X
Frequency: Monthly (2006-2014); Bimonthly (Since 2015)
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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