A Conceptual Study of Mobility Models in Manet (original) (raw)
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A Review and Performance Analysis of Mobility Models for MANETs: A Case Study
In this modern era of communicati on Ad-hoc, Mobile Ad-hoc Networks have got i mmense importance for academi a and industry communities. Mobility of nodes in this type of network results in dynamic topology. Several mobility models have been proposed to simul ate an accurate mobility pattern for the devel opments of MANETs. In this paper, we first review and analyze several mobility models in MANETs from the literature. Then we have conducted performance analysis of Random Way Point and Gauss Markove's mobility model in this paper. This is a simulation bsed study of two mobility models. Simulati on results shows few important findings.
Performance Analysis of MANET Routing Protocols in Different Mobility Models
International Journal of Information Technology and Computer Science, 2013
A mobile ad-hoc network (MANET) is basically called as a network without any central administration or fixed infrastructure. It consists of a number of mobile nodes that use to send data packets through a wireless medium. There is always a need of a good routing protocol in order to establish the connection between mobile nodes since they possess the property of dynamic changing topology. Further, in all the existing routing protocols, mobility of a node has always been one of the important characteristics in determining the overall performance of the ad hoc network. Thus, it is essential to know about various mobility models and their effect on the routing protocols. In this paper, we have made an attempt to compare different mobility models and provide an overview of their current research status. The main focus is on Random Mobility Models and Group Mobility Models. Firstly, we present a survey of the characteristics, drawbacks and research challenges of mobility modeling. At the last we present simulation results that illustrate the importance of choosing a mobility model in the simulation of an ad hoc network protocol. Also, we illustrate how the performance results of an ad hoc network protocol drastically change as a result of changing the mobility model simulated.
Mobility Models used in Simulation Area of Mobile Ad Hoc Networks
Advances in Wireless and Mobile Communications (AWMC), 2009
Simulation environments are an important tool for the evaluation of new concepts in networking. The study of mobile ad hoc networks depends on understanding protocols from simulations, before these protocols are implemented in a real-world setting. In the performance evaluation of a protocol for an ad hoc network, the protocol should be tested under realistic conditions including, but not limited to, a sensible transmission range, limited buffer space for the storage of messages, representative data traffic models and realistic movements of the mobile users (i.e. a mobility model). Network simulators emerged as the most common method of evaluating the performance of large and complex networking systems. Existing mobility models vary widely in their realism, from completely artificial to very realistic as well as in their statistical properties. This paper is a survey of mobility models that are used in the simulations of ad hoc networks. We describe several mobility models that represent mobile nodes whose movements are independent of each other (i.e. entity mobility models) and several mobility models that represent mobile nodes whose movements are dependent on each other (i.e. group mobility models). In this paper we provide an overview of those mobility models and their most important properties.
A New Realistic Mobility Model for Manet to Improve the Data Delivery Ratio
In this paper, we present a new mobility model for multi-hop Adhoc networks. We show that group motion occurs frequently in ad hoc networks, and introduce a novel group mobility model called Multi Mobility Model (MMM) to represent the relationship among mobile hosts. MMM can be readily applied to many existing applications. This model gives the best coverage across the country irrespective of the area type-rural, urban and city. This model takes into consideration both static and dynamic nodes. We have applied our MMM model to different network transmission scenarios, clustering, time, speed, steady state and routing, and have evaluated network performance under different mobility patterns and for different implementations. In order to illustrate the feasibility of hybrid mobility model, it is compared with the existing mobility models based on the routing algorithms. Through extensive simulations on MMM, we demonstrate up to 90% improvement in packet delivery rate.
A survey of mobility models for ad hoc network research
Wireless communications and …, 2002
In the performance evaluation of a protocol for an ad hoc network, the protocol should be tested under realistic conditions including, but not limited to, a sensible transmission range, limited buffer space for the storage of messages, representative data traffic models, and realistic movements of the mobile users (i.e., a mobility model). This paper is a survey of mobility models that are used in the simulations of ad hoc networks. We describe several mobility models that represent mobile nodes whose movements are independent of each other (i.e., entity mobility models) and several mobility models that represent mobile nodes whose movements are dependent on each other (i.e., group mobility models). The goal of this paper is to present a number of mobility models in order to offer researchers more informed choices when they are deciding upon a mobility model to use in their performance evaluations. Lastly, we present simulation results that illustrate the importance of choosing a mobility model in the simulation of an ad hoc network protocol. Specifically, we illustrate how the performance results of an ad hoc network protocol drastically change as a result of changing the mobility model simulated.
Mobility Models for Manet: Mathematical Perspective
2013
A mobile ad hoc network (MANET) is a self-directed, infrastructure-less, self- configuring and self-healing system of mobile nodes connected by wireless links. The nodes are free to move about randomly and may join or leave the network at their will. Due to its randomness, the network topology cannot be pointed and may change rapidly. The movement pattern of MANET nodes is differentiated by mobility models and each routing protocols shows specific characteristics for these models. In order to find the most adaptive and effective routing protocol for dynamic MANET topologies, the behavior of routing protocols needs to be examined at changing node speeds, number of traffic nodes, network size, as well as node density. There are mainly two types of mobility models are described here for the mathematical purpose.
A New Realistic Mobility Model for Mobile Ad Hoc Networks
2007 IEEE International Conference on Communications, 2007
Accurately simulating user movements in Mobile Ad hoc Networks (MANETs) is very important to the prediction of actual network and user performance. Therefore, using a realistic mobility model is a crucial factor in enhancing the confidence in the simulation results of these networks. In this paper, we present a new mobility model for MANETs, called Realistic Mobility Model (RMM). In RMM, node velocities and directions of movement are taken from probability distributions that mimic real user mobility behavior. The model is shown to be stationary since it satisfies the conditions of [2]. Simulation results show that RMM produces mobility traces that closely resemble real mobility traces.
Investigating the Impact of Mobility Models on MANET Routing Protocols
International Journal of Advanced Computer Science and Applications
A mobile ad hoc network (MANET) is a type of multi-hop network under different movement patterns without requiring any fixed infrastructure or centralized control. The mobile nodes in this network moves arbitrarily and topology changes frequently. In MANET routing, protocols play an important role to make reliable communication between nodes. There are several issues affecting the performance of MANET routing protocols. Mobility is one of the most significant factors that have an impact on the routing process. In this paper, FCM, SCM, RWM and HWM mobility models are designed to analyze the performance of AODV, OLSR and GRP protocols, with ten pause time values. These models are based on varying speeds and pause time of MANET participants. Different node parameters such as data drop rate, average end-to-end delay, media access delay, network load, retransmission attempts and throughput are used to make a performance comparison between mobility models. The simulation results showed that in most of the cases OLSR protocol provides better performance than other two routing protocols and it is more suitable for networks that require low delay and retransmission attempts, and high throughput.
Wireless Adhoc Networks. University of Southern …, 2004
A Mobile Ad hoc NETwork (MANET) is a collection of wireless mobile nodes forming a self-configuring network without using any existing infrastructure. Since MANETs are not currently deployed on a large scale, research in this area is mostly simulation based. Among other simulation parameters, the mobility model plays a very important role in determining the protocol performance in MANET. Thus, it is essential to study and analyze various mobility models and their effect on MANET protocols. In this chapter, we survey and examine different mobility models proposed in the recent research literature. Beside the commonly used Random Waypoint model and its variants, we also discuss various models that exhibit the characteristics of temporal dependency, spatial dependency and geographic constraint. Hence, we attempt to provide an overview of the current research status of mobility modeling and analysis.
Recent advances in mobility modeling for mobile ad hoc network research
Proceedings of the 42nd annual Southeast regional conference, 2004
In this paper, we survey recent advances in mobility modeling for mobile ad hoc network research. The advances include some new mobility models and analysis of older mobility models. First we classify mobility models into three categories according to the degree of randomness. We introduce newly proposed mobility models in each of these categories. Next we discuss analysis for existing mobility models. We describe the analysis work in three parts. The first part is the statistical properties of the most widely used Random Waypoint Model. The second part describes the mobility metrics that aim to capture the characteristics of different mobility patterns. The last part is the impact of mobility models on the performance of protocols. We also describe some possible future work.