A New Improved GPSR (GPSR-kP) Routing Protocol for Multimedia Communication over Vehicular Ad hoc Network

2016 ◽  
Author(s):  
Imane Zaimi ◽  
Zineb Squalli Houssaini ◽  
Abdelali Boushaba ◽  
Mohammed Oumsis
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Multimedia Communication ◽  
Vehicular Ad Hoc Network

An Energy Efficient Geocast Routing Protocol Based on a Defer-Time Control Function for Vehicular Ad-Hoc Network

2011 ◽  
Vol 467-469 ◽  
pp. 972-977
Author(s):  
Bon Yeh Lin ◽  
Chi Hua Chen ◽  
Chi Chun Lo
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Control Function ◽  
High Mobility ◽  
Cost Effective ◽  
Routing Algorithms ◽  
Vehicular Ad Hoc Network ◽  
Hop Count ◽  
Time Control

The Vehicular Ad-hoc NETwork (VANET) requires a suitable routing protocol to accommodate its special characteristics (e.g., high mobility, short-lived links, and fast-changing topology). There are many routing algorithms which are developed for transmitting information more quickly and cost-effective. In this paper, we propose a routing protocol which relies on Defer-Time Control Function (DTCF) to reduce the hop count, the transmission delay, and the probability of collisions during transmission. We provide an extensive analysis of DTCFs and choose the power-law model for routing protocol optimization. The function can be adjusted dynamically according to the distribution of the neighboring nodes (vehicles) of each hop. We also propose a mechanism to prevent the selected next-hop leaves the transmission range.

A path selection based routing protocol for urban vehicular ad hoc network (UVAN) environment

2015 ◽  
Vol 23 (2) ◽  
pp. 311-322 ◽  
Author(s):  
Sourav Kumar Bhoi ◽  
Pabitra Mohan Khilar ◽  
Munesh Singh
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Path Selection ◽  
Vehicular Ad Hoc Network

scholarly journals Performance Analysis of DSR and TORA Model Routing Protocols In Vehicular Ad Hoc Network

2020 ◽  
Vol 3 (3) ◽  
pp. 94-99
Author(s):  
Linna Oktaviana Sari ◽  
Agusurio Azmi ◽  
Ery Safrianti ◽  
Feranita Jalil
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Routing Algorithm ◽  
Vehicular Ad Hoc Network ◽  
Delivery Ratio ◽  
Large Area ◽  
Packet Delivery ◽  
End To End Delay ◽  
End To End

Pekanbaru city is a large area, therefore traffic congestion often occurs due to the density of society’s vehicles. From this problem, it is needed a technology that can exchange information between vehicles. Information Technology that can involve many vehicles with special network types without dependence on an infrastructure is Ad Hoc Network. One type of this network is Vehicular Ad Hoc Network (VANET). VANET is a new concept in enabling communication between Vehicle to Vehicle (V2V). For efficient data packet delivery, VANET requires a routing protocol. In this research, for simulated and analyzed performance is used the Dynamic Source Routing (DSR) and Temporally Ordered Routing Algorithm (TORA) protocol. NS-2 is used to simulated a moved nodes, SUMO software is used to simulated real map of SKA Mall crossroad and parameter the quality of performance routing protocol DSR can determined by End to End Delay, Packet Delivery Ratio (PDR) and Routing Overhead (RO). This simulation uses scenario 100 nodes, 150 nodes, 200 nodes and 250 nodes. The simulation results with the scenario of changing the number of nodes, the DSR routing protocol produces better performance with an average of  End to End Delay is 0.1066 s, average of PDR is 95.45% and average of RO is 1.0076. While the TORA routing protocol has an average of End to End Delay is 0.1163s, average of PDR is 93.49% and average of RO is 1.0801. And in the scenario of node speed changes, the TORA routing protocol produces better performance with an average of End to End Delay is 0.0861 s and average of PDR 97.37%. While the DSR routing protocol is better with an average of RO is 1.0076.

scholarly journals Enhancing the Performance of DSR Routing Protocol Using Link Breakage Prediction in Vehicular Ad Hoc Network

2013 ◽  
Vol 1 (2013) ◽  
pp. 7-14 ◽  
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
High Mobility ◽  
Vehicular Ad Hoc Network ◽  
High Data ◽  
Dynamic Topology ◽  
Dynamic Source ◽  
Special Case

Vehicular Ad hoc Network (VANET) is a special case of Mobile Ad hoc Network (MANET) with two key differences which are the high and constrained mobility of its nodes. Because of this high mobility, the topology of VANET is considered so dynamic. As a reason of this highly dynamic topology, the link breakages in these networks are something common. This problem causes high data loss and delay. In order to decrease these problems, the idea of link breakage prediction has appeared to deal with this phenomenon in MANET. This idea has proved to be successful to enhance the performance of routing protocols in MANET, but till now it did not be applied to the area of VANET. In this paper the idea of link breakage prediction was used to enhance the performance of the well known Dynamic Source Routing protocol (DSR) in VANET by applying a new mechanism which includes replacing the whole effected route (Not only the effected link). This new mechanism was able to decrease the packet loss and delay that occur in the original protocol

Vehicular Ad-Hoc Network and Routing Design

2014 ◽  
Vol 641-642 ◽  
pp. 829-832 ◽  
Author(s):  
Ning Zhao ◽  
Xue Li ◽  
Mei Yang ◽  
Xin Ting Huang
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Network Routing ◽  
Simulation Software ◽  
Vehicular Ad Hoc Network ◽  
Packet Delivery ◽  
Routing Design ◽  
Routing Performance ◽  
Simulation Parameters

To analyze vehicular Ad-Hoc network routing performance, the GPSR routing performance is studied using network simulation software NS2 compared with traffic simulation software VanetMobiSim. 100 nodes communicated with each other was stimulated by adding routing protocol into NS2, building the environment of simulation, setting simulation parameters and writing TCL script. The data packet delivery path was examined by trace files and GPSR routing performance was concluded through Gawk. The average end-to-end transmission delay trends to increase and the average delivery rate trends to drop when the average speed of vehicle nodes increase.

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