Abstract—As the explosive growth of the ISM band usage continues, there are many scenarios where different systems operate in the same place at the same time. One of growing concerns is the coexistence of wireless systems. In heterogeneous networks, mobility, traffic and node density are main network conditions that significantly affect the performance of routing protocols. Much of the previous researches in homogeneous routing have focused on developing strategies, which suit one specific networking scenario. Therefore, there is no existing protocol that can work well in all different networking scenarios. This paper reviews characteristics of each different classes of routing protocols. Moreover, most of current routing protocols assume homogeneous networking conditions where all nodes have the same capabilities and resources. Although homogenous networks are easy to model and analysis, they exhibits poor scalability compared with heterogeneous networks that consist of different nodes with different resources. This paper presents extensive studies simulations for AODV, DSR, LANMAR, LAR1 and FSR in homogenous and heterogeneous networks. The results showed that these which all protocols perform reasonably well in homogenous networking conditions, their performance suffer significantly over heterogonous networks. Further this paper presents the mobility model for the heterogeneous network for different interference size.
Index Terms—Coexistence, Heterogeneous Networks, Interference, Routing protocol.
G. M. Tamilselvan is with the Department of Electronics and Communication Engineering, Bannaiamman Institute of Technology, Sathyamangalam, 638401, Tamilnadu, India.(email: firstname.lastname@example.org)
Dr. A. Shanmugam is with the Bannaiamman Institute of Technology, Sathyamangalam, 638401, Tamilnadu, India. (email: email@example.com)
Cite: G. M. Tamilselvan and A. Shanmugam, "Performance Analysis of Coexistent Heterogeneous Networks for Various Routing Protocols Using Qualnet Simulation," International Journal of Computer Theory and Engineering vol. 2, no. 2, pp. 156-165, 2010.