Investigating User Mobility for Mobile Ad-Hoc Wireless Networks (original) (raw)

Analyzing performance of ad hoc network mobility models in a peer-to-peer network application over mobile ad hoc network

2010

Mobile ad hoc network and peer-to-peer networks are most advancing and emerging research areas in the recent years. Both of these networks are based on the same phenomenon like self-configuration and self-organization. Although, peer-to-peer network was firstly designed for wired network but now a days it may be deployed over mobile ad hoc network. When P2P networks are deployed over ad hoc network, it faces different problems due to dynamic topology and limited resources like memory, bandwidth and battery life of mobile nodes. In mobile ad hoc network nodes are continuously moving in a certain direction so network topology is changing from time to time. Node mobility is an important issue in these networks. Most of the researchers used only one mobility model in evaluation of routing protocols in mobile peer-to-peer network. As mobility models plays an important role in evaluation of the performance of different protocols, so other mobility models should also be used. We consider two mobility models probabilistic random walk and freeway mobility model in this network and we also compare these results with already used random waypoint mobility model. We used an ad hoc routing protocol Ad hoc On Demand Distance Vector routing under a peer-to-peer network application to evaluate the performance under prescribed mobility model. The results have been validated using network simulator (NS-2) and this helped in choosing proper mobility model for specific environment.

Modeling Spatial and Temporal Dependencies of User Mobility in Wireless Mobile Networks

IEEE/ACM Transactions on Networking, 2000

Realistic mobility models are fundamental to evaluate the performance of protocols in mobile ad hoc networks. Unfortunately, there are no mobility models that capture the nonhomogeneous behaviors in both space and time commonly found in reality, while at the same time being easy to use and analyze. Motivated by this, we propose a time-variant community mobility model, referred to as the TVC model, which realistically captures spatial and temporal correlations. We devise the communities that lead to skewed location visiting preferences, and time periods that allow us to model time dependent behaviors and periodic re-appearances of nodes at specific locations.

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.

An Obstacle Based Realistic Ad-Hoc Mobility Model for Social Networks

Journal of Networks, 2006

An efficient deployment of a mobile ad-hoc network (MANET) requires a realistic approach towards the mobility of the hosts who want to communicate with each other over a wireless channel. Since ad-hoc networks are driven by human requirements, instead of considering the random movement of mobile nodes, we concentrate on the social desire of the nodes for getting connected with one another and provide here a framework for the mobility model of the nodes based on Social Network Theory. In this paper, we capture the preferences in choosing destinations of pedestrian mobility pattern on the basis of Social Factor (F) and try to find out the essential impact of F on the Pause Time of the nodes. Also, instead of considering an unobstructed terrain, we carry out our simulations in presence of obstacles which block the node movement. Thus, we present here a more realistic mobility distribution pattern. Further, a relative comparison of the proposed model with the popular Random Way-Point (RWP) Model is also done.

Human mobility models for opportunistic networks

IEEE Commun. Mag, 2011

Mobile ad hoc networks (MANETs) enable communications between clouds of mobile devices without the need for a pre-existing infrastructure. One of their most interesting evolutions are Opportunistic Networks (OppNets), whose goal is to enable communication also in disconnected environments, where the general absence of an end-to-end path between the sender and the receiver impairs communication when legacy MANET networking protocols are used. The key idea of OppNets is that the mobility of nodes helps the delivery of messages, because it may connect, asynchronously in time, otherwise disconnected subnetworks. This is especially true for networks whose nodes are mobile devices (such as smartphones and tablets) carried by human users, which is the typical OppNets scenario. In such a network where the movements of the communicating devices mirror those of their owners, finding a route between two disconnected devices implies uncovering habits in human movements and patterns in their connectivity (i.e., frequencies of meetings, average duration of a contact, etc.), and exploiting them to predict future encounters. Therefore, there is a challenge in studying human mobility, specifically in its application to OppNets research. In this paper we review the state of the art in the field of human mobility analysis and present a survey of mobility models. We start from reviewing the most considerable findings regarding the nature of human movements, which we classify along the spatial, temporal, and social dimensions of mobility. We discuss the shortcomings of the existing knowledge about human movements and we extend it with the notion of predictability and patterns. We then survey existing approaches to mobility modeling and fit them into a taxonomy that provides the basis for a discussion on open problems and further directions for research on modeling human mobility.

A Mobility Model for Personal Networks (PN)

IFIP International Federation for Information Processing, 2008

A Personal Network (PN) is a user-centric design interconnecting numerous devices belonging to a user in different geographic locations, such as home, office, car, etc., to form a single global network to offer fully personalized services. In PNs devices of the user move in different groups, where these groups merge and split. In this paper, we design and simulate a PN Mobility Model (PNMM) to capture the characteristics of movements of devices in PNs. We propose a simple stability evaluation method for group mobility models and apply the method to PNMM. Through the stability evaluation, we find that PNMM possesses long-term steady state behavior. Moreover, for the evaluation of mobility models, some evaluation methods have been proposed, which include non-homogenous node mobility, relative node mobility in a group, and dynamics of group merging and splitting. Analysis shows that PNMM is better than other models to represent the PN mobility properties. In addition, the impact of PNMM on the performance of a PN Clustering Protocol (PNCP) has been studied. Simulation results provide insights into the performance of PNCP, and provide guidelines for future design of PN clustering. PNMM can be easily applied to any Personal Area Network or Body Area Network with slight modifications.

A group mobility model for ad hoc wireless networks

1999

In this paper, we present a survey of various mobility models in both cellular networks and multi-hop networks. We show that group motion occurs frequently in ad hoc networks, and introduce a novel group mobility model -Reference Point Group Mobility (RPGM) -to represent the relationship among mobile hosts. RPGM can be readily applied to many existing applications. Moreover; by proper choice of parameters, RPMG can be used to model several mobility models which were previously proposed. One of the main themes of this paper is to investigate the impact of the mobility model on the performance of a specijc network protocol or application. To this end, we have applied our RPGM model to two different network protocol scenarios, clustering and routing, and have evaluated network pedormance under dtzerent mobility patterns and for different protocol implementations. As expected, the results indicate that dtfferent mobility patterns affect the various protocols in dtfferent ways. In particular; the ranking of routing algorithms is influenced by the choice of mobility pattern.

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.