1Assistatnt Professor-Department of Computer Application, S.V. Subharti University, Meerut
2Lecturer-Department of Computer Application, S.V. Subharti University, Meerut
3Assistatnt Professor-Department of Computer Application, S.V. Subharti University, Meerut
Online published on 27 February, 2017.
Mobility modeling management is the cornerstone of wireless networks philosophy. Mobility analysis gives a deep insight on the impact of the terminal mobility on the cellular system performance. In third generation mobile communication systems, the influence of mobility on the network performance will be strengthened, mainly due to the huge number of mobile users in conjunction with the small cell size. In particular, the accuracy of mobility modeling becomes essential for the evaluation of system design alternatives and network implementation cost issues. Currently available mobility models tend to be either too simplifying or too sophisticated. For mobility modeling under realistic traffic and environmental conditions, this thesis introduces a novel representation technique which uses the distribution functions of street length, direction changes at crossroads, and terminal velocity. Other important factors influenced by user mobility concern the mobile user calling behavior expressed by the incoming/outgoing call arrival rate and average call duration. This is capable to describe the user behavior in detail, and is applied for the characterization of the traffic in individual single cells of the mobile network. The effect of mobility has been analyzed in terms of the local performance measures like probability of handover and call blocking probability (for new and handover calls). Additionally, this model has been used to calculate the distribution of channel holding times. The performances of new call handling algorithms are evaluated. The global performance criteria of interest are call dropping probability for all calls, call processing
MANET, Wireless Networks, Mobility Models
