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2 results on '"Random Way Point mobility model"'

1. Simulation and Evaluation of the Performance on Probabilistic Broadcasting in FSR (Fisheye State Routing) Routing Protocol Based on Random Mobility Model in MANET.

Author

Sivakumar, Nithya Rekha and Chelliah, Chandrasekar

Abstract

Broadcasting in MANETs has traditionally based on flooding, which simply swamps the network with large number of rebroadcast messages in order to reach all network nodes. Although probabilistic flooding has been one of the earliest suggested schemes to broadcasting, there has not been so far any attempt to analyze its performance behavior in a MANET environment. In an effort to fill this gap, this paper investigates using extensive NS-2 simulations the effects of a number of important system parameters in a typical MANET, including node speed, pause time, and node density and packet reach ability on the performance of probabilistic flooding. The results reveal that most of these parameters have a critical impact on the reach ability and the number of saved rebroadcast messages achieved by probabilistic flooding on FSR (Fisheye State Routing) Protocol. The Random way Point Mobility model is selected as the mobile ad hoc network mobility model in NS2 Simulation. [ABSTRACT FROM PUBLISHER]

Published
2012
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2. Analytical Estimation of Path Duration in Mobile Ad Hoc Networks.

Author

Namuduri, K. and Pendse, R.

Abstract

Path duration is an important design parameter that determines the performance of a mobile ad hoc network (MANET). For example, it can be used to estimate the route expiry time parameter for routes in “on demand” routing protocols. This paper proposes an analytical model to estimate path duration in a MANET using the random way point mobility model as a reference. The salient feature of the proposed model is that it establishes a relationship between path duration and MANET design parameters including node density, transmission range, number of hops, and velocity of nodes. Although this relationship has been previously demonstrated through simulations, a detailed analytical model is not available in the literature to present. In particular, the relationship between path duration and node density has not been derived in previous models. The accuracy of the proposed model is validated by comparing the results obtained from the analytical model with the experimental results available in literature and with the results of simulations carried out in ns-2. [ABSTRACT FROM PUBLISHER]

Published
2012
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