scholarly journals End-to-end Delay Assessment and Hybrid Routing Protocol for Vehicular Ad Hoc Network

IERI Procedia ◽  
2012 ◽  
Vol 2 ◽  
pp. 727-733 ◽  
Author(s):  
Le Van Minh ◽  
Yang MingChuan ◽  
Guo Qing
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Vehicular Ad Hoc Network ◽  
Hybrid Routing ◽  
End To End Delay ◽  
End To End ◽  
Hybrid Routing Protocol

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 SIMULATION AND PERFORMANCE ANALYSIS OF ROUTING PROTOCOLS FSR AND ZRP IN VEHICULAR AD-HOC NETWORK (VANET)

2016 ◽  
Vol 15 (6) ◽  
pp. 6796-6805
Author(s):  
Putri Annisa Septianti ◽  
Rendy Munandi ◽  
Ridha Muldina Negara
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Vehicular Ad Hoc Network ◽  
Delivery Ratio ◽  
Zone Routing Protocol ◽  
End To End Delay ◽  
End To End ◽  
And Performance ◽  
The Right

Vehicular Ad-Hoc Network (VANET) is a wireless routing network which used ad hoc network system as the basis. VANET was formed to give solution to the unclear network infrastructure or frequently changing network topology. The change of speed and the nodes amount in an area influenced the overhead level in sending message and end to end delay with low packet loss. The right routing protocol selection has an important role in guarantee the Quality of Service in VANET which needs low delay and overhead. This study analyzed the Fisheye State Routing (FSR) protocol performance as a proactive routing protocol that renew the table routing in certain period and Zone Routing Protocol (ZRP) as a hybrid protocol that uses zone and hop distant to decide the table routing renewal in sending data with Cisco codec G 711 standard in highway areas using NS-2.31 and NS-2.35 and traffic simulator SUMO 0.12.3. Moreover, the measured metrics performances were Average end-to-end delay, Normalized Routing Load, Average Throughput, Packet Delivery Ratio (PDR), and Routing Overhead.

scholarly journals Impact of Direction Parameter in Performance of Modified AODV in VANET

2020 ◽  
Vol 9 (3) ◽  
pp. 40 ◽  
Author(s):  
Afsana Ahamed ◽  
Hamid Vakilzadian
Keyword(s):  
Routing Protocol ◽  
Packet Loss ◽  
Routing Protocols ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
End To End Delay ◽  
Distance Vector ◽  
End To End ◽  
Route Request ◽  
The Impact

A vehicular ad hoc network (VANET) is a technology in which moving cars are used as routers (nodes) to establish a reliable mobile communication network among the vehicles. Some of the drawbacks of the routing protocol, Ad hoc On-Demand Distance Vector (AODV), associated with VANETs are the end-to-end delay and packet loss. We modified the AODV routing protocols to reduce the number of route request (RREQ) and route reply (RREP) messages by adding direction parameters and two-step filtering. The two-step filtering process reduces the number of RREQ and RREP packets, reduces the packet overhead, and helps to select the stable route. In this study, we show the impact of the direction parameter in reducing the end-to-end delay and the packet loss in AODV. The simulation results show a 1.4% reduction in packet loss, an 11% reduction in the end-to-end delay, and an increase in throughput.

scholarly journals Pencarian Rute yang Handal Berbasis Energi Menggunakan Algoritma EA-SHORT pada Protokol Routing ZRP di Jaringan MANET

2021 ◽  
Vol 3 (1) ◽  
pp. 31-42
Author(s):  
Mila Rosiana ◽  
Andy Hidayat Jatmika ◽  
Ariyan Zubaidi
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Energy Aware ◽  
Zone Routing Protocol ◽  
End To End Delay ◽  
Mobile Ad Hoc ◽  
End To End

Mobile Ad-Hoc Network (MANET) adalah jaringan wireless dari kumpulan node yang tidak memiliki router tetap. Setiap node dalam jaringan bertindak sebagai router yang bertanggung jawab untuk menemukan dan menangani rute antar node. Dalam penelitian ini, konsep energy aware menggunakan algoritma EA-SHORT diterapkan pada kerangka kerja Zone Routing Protocol (ZRP). EA-SHORT mencoba mendistribusikan beban jaringan ke semua node yang ada dengan memanfaatkan variasi jumlah energi dengan memilih node yang memiliki cukup energi yang dapat berpartisipasi dalam rute dan menghindari node yang memiliki energi rendah. Kinerja ZRP akan dibandingkan dengan EA-SHORT ZRP yang telah dimodifikasi dengan EA-SHORT yang diukur dari nilai parameter yang ditentukan. Dari simulasi, hasilnya menunjukkan, pada node 50, throughput meningkat sebesar 12,374%. Untuk 100 node, peningkatan sebesar 44.597%. Pada rata-rata average end to end delay , dengan 50 node, nilai EA-SHORT ZRP menurun sebesar 20.063%, 100 node EA-SHORT ZRP menurun sebesar 8.375%. Hasil PDR pada EA-SHORT ZRP dengan 50 node meningkat 0,545%, dan untuk EA-SHORT ZRP 100 node meningkat sebesar 21,301%

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