scholarly journals Intersection-Based Link-Adaptive Beaconless Forwarding in Urban Vehicular Ad-Hoc Networks

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1242 ◽  
Author(s):  
Khaleel Husain ◽  
Azlan Awang ◽  
Nidal Kamel ◽  
Sonia Aïssa

Remote monitoring applications in urban vehicular ad-hoc networks (VANETs) enable authorities to monitor data related to various activities of a moving vehicle from a static infrastructure. However, urban environment constraints along with various characteristics of remote monitoring applications give rise to significant hurdles while developing routing solutions in urban VANETs. Since the urban environment comprises several road intersections, using their geographic information can greatly assist in achieving efficient and reliable routing. With an aim to leverage this information, this article presents a receiver-based data forwarding protocol, termed Intersection-based Link-adaptive Beaconless Forwarding for City scenarios (ILBFC). ILBFC uses the position information of road intersections to effectively limit the duration for which a relay vehicle can stay as a default forwarder. In addition, a winner relay management scheme is employed to consider the drastic speed decay in vehicles. Furthermore, ILBFC is simulated in realistic urban traffic conditions, and its performance is compared with other existing state-of-the-art routing protocols in terms of packet delivery ratio, average end-to-end delay and packet redundancy coefficient. In particular, the results highlight the superior performance of ILBFC, thereby offering an efficient and reliable routing solution for remote monitoring applications.

2017 ◽  
Vol 64 ◽  
pp. 473-495 ◽  
Author(s):  
Ahmed I. Saleh ◽  
Samah A. Gamel ◽  
Khaled M. Abo-Al-Ez

2011 ◽  
Vol 63-64 ◽  
pp. 416-420 ◽  
Author(s):  
Li Cui Zhang ◽  
Guo Qiang Zhang ◽  
Zhi Gang Wang ◽  
Fan Zhang ◽  
Xiao Fei Xu

The research on Communication based on Ad hoc networks between vehicles is highly concerned about in many countries. However, Vehicular Ad hoc Networks (VANETs) is in the environment in which traditional methods have certain limitations. In this paper, vehicular network scenarios and the probability of penetration model are given. Through adding obstacles and the probability of penetration model to NS2, GPSR performs better in the new simulation scenarios.


2018 ◽  
Vol 7 (3.12) ◽  
pp. 57
Author(s):  
Asha K S ◽  
Rajeshwari Hegde

Some Inherent Vehicular Ad Hoc Networks (VANETs) characteristics such as intermittent connectivity, highly dynamic topology, and hard delay constraints, make data communication a challenging task in these networks. Due to such peculiarities, in this paper we study the impact of using vehicles predicted locations as a metric for data communication in VANETs. This paper deals with PBERR (Parameter Based Efficient Reliable Routing) for VANETs, which is a multilevel routing algorithm. The focus of this algorithm is 100% data transmission from end to end with no loss or drop of data packets by selecting the reliable path. The proposed algorithm will use the data of the digital maps to limit the scope of message exchanges in the shortest path for vehicles between source and destination. Our results clearly demonstrate the efficiency of the proposed solution in different scenarios, especially in terms of Network throughput, Energy consumption and Average delay. 


2011 ◽  
Vol 204-210 ◽  
pp. 391-394 ◽  
Author(s):  
Li Cui Zhang ◽  
Xu Xu ◽  
Zhi Gang Wang ◽  
Ping Xiao ◽  
Xiao Fei Xu

Currently, the research on Vehicular Ad hoc Networks(VANETs) is hot. Vehicular movement model is an important factor, which affects the simulation results of VANETs. In the simulation of VANETs, Vehicular movement model used in the urban environment should consider not only the characteristics of the vehicular movement, but also the role of obstructing the radio waves. In this paper, after a detailed analysis of vehicle motion features, it gives a vehicular movement model based on directed graph. The simulation shows that the model can well reflect the movement of vehicles in the real world, and the influence of urban environment on the network performance.


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