Performance Comparison of AODV and Soft AODV Routing Protocol

Authors: Abhishek, Seema Devi, Jyoti Ohri

Abstract:

A mobile ad hoc network (MANET) represents a system of wireless mobile nodes that can self-organize freely and dynamically into arbitrary and temporary network topology. Unlike a wired network, wireless network interface has limited transmission range. Routing is the task of forwarding data packets from source to a given destination. Ad-hoc On Demand Distance Vector (AODV) routing protocol creates a path for a destination only when it required. This paper describes the implementation of AODV routing protocol using MATLAB-based Truetime simulator. In MANET's node movements are not fixed while they are random in nature. Hence intelligent techniques i.e. fuzzy and ANFIS are used to optimize the transmission range. In this paper, we compared the transmission range of AODV, fuzzy AODV and ANFIS AODV. For soft computing AODV, we have taken transmitted power and received threshold as input and transmission range as output. ANFIS gives better results as compared to fuzzy AODV.

Keywords: ANFIS, AODV, fuzzy, MANET, reactive routing protocol, routing protocol, Truetime.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1339428

References:

[1] S.S. Dhenakaran and A. Parvathavarthini “An Overview of Routing Protocols in Mobile ad-hoc Network,” International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 3, Issue 2, pp. 251-259, Feb. 2013.
[2] Charles E. Perkins, “Ad hoc Networking,” Pearson, 2008.
[3] Dr. Yogesh Chaba and Naresh Kumar Medishetti, “Routing Protocols in mobile Ad hoc Networks- A Simulation Study,” Journal of Computer Science, Vol.1, No.1, pp 83-88, August 2005.
[4] Nidhi S Kulkarnit, Balasubramanian Ramantt, and Indra Gupta, “On Demand Routing Protocols for Mobile Ad hoc Networks: A Review,” IEEE International Advance Computing Conference Patiala, India, 6-7 March 2009.
[5] Anton Cervin, Martin Ohlin and Dan Henriksson “Simulation of Networked Control Systems Using Truetime,” Department of Automatic control LTH, Lund University, Sweden, 2009.
[6] http://www.control.lth.se/truetime.
[7] Jairo Espinosa, Joos Vandewalle and Vincent Wertz, “Fuzzy Logic,Identification and Predictive Control,” Springer-Verlag,2005
[8] Mehdi Neshat, Ali Adeli, Azra Masoumi, Mehdi Sargolzae, “A Comparative Study on ANFIS and Fuzzy Expert System Models for Concrete Mix Design,” IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 3, No. 2, pp. 196-210, May 2011.
[9] Neerja Khatri, Arvind Kumar, Arun Sharma, “Analysing Performance of AODV Routing Protocol in Mobile Ad hoc Networks,” International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, Issue 8, pp.3182-3187, August 2013
[10] Shivashankar, Varaprasad. G, Suresh H.N, Devaraju G, Jayanthi, “Performance Metrics Evaluation of Routing Protocols in MANET,” International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, Issue 3, pp.1513-1520, March 2013.