Traffic model for clustering algorithms in vehicular ad-hoc networks

2006 ◽  
Author(s):  
Peng Fan ◽  
J. Haran ◽  
J. Dillenburg ◽  
P.C. Nelson
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Clustering Algorithms ◽  
Traffic Model ◽  
Hoc Networks

Clustering, Connectivity, and Monitoring Challenges in Vehicular Ad hoc Networks

2010 ◽  
pp. 257-281
Author(s):  
Ameneh Daeinabi ◽  
Akbar Ghaffarpour Rahbar
Keyword(s):  
Ad Hoc Networks ◽  
Intelligent Transportation Systems ◽  
Large Scale ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Clustering Algorithms ◽  
Transportation Systems ◽  
High Rate ◽  
Efficient Resource ◽  
Hoc Networks

Vehicular Ad Hoc Networks (VANETs) are appropriate networks that can be applied for intelligent transportation systems. Three important challenges in VANETs are studied in this chapter. The first challenge is to defend against attackers. Because of the lack of a coordination unit in a VANET, vehicles should cooperate together and monitor each other in order to enhance security performance of the VANET. As the second challenge in VANETs, scalability is a critical issue for a network designer. Clustering is one solution for the scalability problem and is vital for efficient resource consumption and load balancing in large scale VANETs. On the other hand, due to the high-rate topology changes and high variability in vehicles density, transmission range of a vehicle is an important issue for forwarding and receiving messages. In this chapter, we study the clustering algorithms, the solutions appropriate to increase connectivity, and the algorithms that can detect attackers in a VANET.

Mobility and Traffic Model Analysis for Vehicular Ad-hoc Networks

2010 ◽  
pp. 214-232
Author(s):  
Shrirang Ambaji Kulkarni ◽  
G. Raghavendra Rao
Keyword(s):  
Ad Hoc Networks ◽  
Routing Protocol ◽  
Ad Hoc Network ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Mobility Model ◽  
Vehicular Ad Hoc Network ◽  
Traffic Model ◽  
Mobility Models ◽  
Hoc Networks

Vehicular Ad Hoc Networks represent a specialized application of Mobile Ad Hoc Networks. Here the mobile nodes move in lanes and their mobility can be modeled based on realistic traffic scenarios. To meet the above challenge the goal of defining the mobility model for vehicular ad hoc network along with a realistic traffic pattern is an important research area. Vehicular mobility is characterized by acceleration, deceleration, possibility of different lanes and intelligent driving patterns. Also a modeling of traffic is necessary to evaluate a vehicular ad hoc network in a highway environment. The traffic model has to take into account the driver behavior in order to take decisions of when to overtake, change lanes, accelerate and decelerate. To overcome the limitation of traditional mobility models and mimic traffic models, many traffic model based simulators like CORSIM, PARAMICS and MOVE have been proposed. In this chapter we provide taxonomy of mobility models and analyze their implications. To study the impact of mobility model on routing protocol for vehicular motion of nodes we analyze the performance of mobility models with suitable metrics and study their correlation with routing protocol. We also discuss the fundamentals of traffic engineering and provide an insight into traffic dynamics with the Intelligent Driver Model along with its lane changing behavior.

scholarly journals A STOCHASTIC MOBILE DATA TRAFFIC MODEL FOR VEHICULAR AD HOC NETWORKS

2019 ◽  
Vol 01 (01) ◽  
pp. 55-63 ◽  
Author(s):  
Smys S ◽  
Jennifer S. Raj
Keyword(s):  
Ad Hoc Networks ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Traffic Model ◽  
Delivery Ratio ◽  
Data Traffic ◽  
Mobile Data ◽  
Hoc Networks

Routing and mobile data traffic management is a major performance affecting issue in vehicular Ad Hoc networks (VANET). High-rise structures and such radio obstacles cause trouble in proper reception of signals when position-based routing schemes are used. Other major challenges include constrained mobility and irregular distribution of vehicular nodes. A stochastic mobile data traffic model is presented in this paper. This model offers security, reliability, safety and comfort for driving by overcoming the problems of traffic congestion, interference and jamming. It also addresses the handover (HO) issue that occurs during fast mobility. Along with this, the quality parameters of the system such as throughput, packet delivery ratio and delay are also evaluated.

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