With using fuzzy logic in the MANET

• Autorzy: Jelodar H , Aramideh J
• Języki publikacji: EN

Abstrakty

EN

Mobile ad hoc networks have consisted of the nodes which are freely displaced. In other words, this network has dynamic topology. Routing protocols find route of forwarding data packets from the source node to the destination node. A routing protocol plays important role in finding the shortest time and the route path. In this paper, considering significance of the subject, attempt has been made to present a model using fuzzy logic approach to evaluate and compare two routing protocols i.e. AODV DSDV using effective factor of the number of nodes based on 2 outputs of delay and throughput rate (totally fuzzy system with four outputs) in order to select one of these two routing protocols properly under different conditions and based on need and goal. To show efficiency and truth of fuzzy system, two protocols have been evaluated completely equally using NS-2 simulator and attempt has been made to prove efficiency of the designed fuzzy system by comparing results of simulation of fuzzy system and NS-2 software.

Słowa kluczowe

EN

AODV routing protocol; DSDV routing protocol; fuzzy expert system; MANET

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2014
• Tom: Vol. 8, nr 22
• Strony: 19--25
• Opis fizyczny: Bibliogr. 10 poz., fig., tab.

Twórcy

autor

Jelodar H

• Department of Computer, Science and Research, Islamic Azad University, Bushehr, Iran

autor

Aramideh J

• Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran

Bibliografia

• 1. Morshed Md Monzur, Franz Is Ko, Dongwook Lim, Md Habibur Rahman, Md Rezaur Rahman Mazumder, and Jyotirmoy Ghosh. Performance evaluation of DSDV and AODV routing protocols in mobile ad-hoc networks. In: New Trends in Information Science and Service Science (NISS), 4th IEEE International Conference on, 2010, 399-403.
• 2. Mohapatra S. and Kanungo. Performance analysis of AODV, DSR, OLSR and DSDV Routing Protocols using NS2 Simulator. Procedia Engineering, 30, 2012, 69-76.
• 3. Odeh A., Eman A.F. and Muneer A. Performance Evaluation of AODV and DSR Routing Protocols in MANET Networks. International Journal of Distributed and Parallel Systems (IJDPS) Vol. 3, 2012.
• 4. Boukerche A. Performance evaluation of routing protocols for ad hoc wireless networks. Mobile Networks and Applications 9(4), 2004, 333-342.
• 5. Ramesh V., Subbaiah P., Koteswar Rao N. and Janardhana Raju M. Performance Comparison and Analysis of DSDV and AODV for MANET. International Journal on Computer Science and Engineering 2(2), 2010, 183-188.
• 6. Gupta S.K. and Saket R.K. Performance metric comparison of AODV and DSDV routing protocols in manets using ns-2. IJRRAS, Vol. 7(3), 2011, 339-350.
• 7. Bhosle A.A. and Tushar P.T. International Journal of Computer Science, Engineering and Applications (IJCSEA). Black-Hole and Wormhole Attack in Routing Protocol AODV in MANET, 2(1), 2012, 45-54.
• 8. Rahman Abdul Hadi Abd, and Zuriati Ahmad Zukarnain. Performance comparison of AODV, DSDV and I-DSDV routing protocols in mobile ad hoc networks. European Journal of Scientific Research.
• 9. Zadeh LA., Fuzzy Logic, Neural Networks and Soft Computing, Com. of the ACM, vol. 37, 1994, 77-84.
• 10. Ishibuchi H., Nozaki K., Yamamoto N., Tanaka H., Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithm, Fuzzy Sets and Systems, Vol. 65, 1994, 237-253.