TY - JOUR
T1 - A Traffic Aware Segment-based Routing protocol for VANETs in urban scenarios
AU - Khan, Saifullah
AU - Alam, Muhammad
AU - Fränzle, Martin
AU - Müllner, Nils
AU - Chen, Yuanfang
N1 - Funding Information:
This research was funded by the German Research Foundation through the Research Training Group DFG-GRK 1765: “System Correctness under Adverse Conditions” (SCARE, scare.uni-oldenburg.de), and partly by the Knowledge Foundation (KKS) through the project 20130085 Testing of Critical System Characteristics (TOCSYC) and European Union and Vinnova under grant 692529-2 Safe Cooperating Cyber-Physical Systems using Wireless Communication (SafeCOP).
Funding Information:
This research was funded by the German Research Foundation through the Research Training Group DFG-GRK 1765: “System Correctness under Adverse Conditions” (SCARE, scare.uni-oldenburg.de), and partly by the Knowledge Foundation (KKS) through the project 20130085 Testing of Critical System Characteristics (TOCSYC) and European Union and Vinnova under grant 692529-2 Safe Cooperating Cyber-Physical Systems using Wireless Communication (SafeCOP).
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/5
Y1 - 2018/5
N2 - Vehicular ad-hoc networks (VANETs) offer a diverse set of applications and therefore gain more and more attention from both academic and industrial communities. However, the deployment of VANETs is not very straight-forward. One challenge is highlighted by an uphill task of establishing and subsequently sustaining a robust communication. The need to obviate extra relay infrastructure in dynamically fluctuating topologies plus concurring shielding obstacles only magnifies this arduous task. In this context, information about traffic-density and about its estimated progress are valuable assets to tackle this issue. This paper proposes a novel routing protocol called Traffic Aware Segment-based Routing (TASR) protocol. The proposed protocol comprises two major parts: 1) Real-time vehicular traffic information for route selection allows for calculating the Expected Connectivity Degree (ECD) on different segments, and 2) a new forwarding method based on geographical information transfers packets from source to destination node. The new metric ECD takes vehicle densities into account, estimating the connectivity on each segment and thus the connectivity of nodes and data delivery ratio for transmitting packets. Furthermore, extensive simulations help analyzing the efficiency of TASR, indicating that it outperforms competing routing protocols.
AB - Vehicular ad-hoc networks (VANETs) offer a diverse set of applications and therefore gain more and more attention from both academic and industrial communities. However, the deployment of VANETs is not very straight-forward. One challenge is highlighted by an uphill task of establishing and subsequently sustaining a robust communication. The need to obviate extra relay infrastructure in dynamically fluctuating topologies plus concurring shielding obstacles only magnifies this arduous task. In this context, information about traffic-density and about its estimated progress are valuable assets to tackle this issue. This paper proposes a novel routing protocol called Traffic Aware Segment-based Routing (TASR) protocol. The proposed protocol comprises two major parts: 1) Real-time vehicular traffic information for route selection allows for calculating the Expected Connectivity Degree (ECD) on different segments, and 2) a new forwarding method based on geographical information transfers packets from source to destination node. The new metric ECD takes vehicle densities into account, estimating the connectivity on each segment and thus the connectivity of nodes and data delivery ratio for transmitting packets. Furthermore, extensive simulations help analyzing the efficiency of TASR, indicating that it outperforms competing routing protocols.
KW - Medium access
KW - Routing protocol
KW - Vehicular ad hoc networks
KW - Wireless communication
UR - http://www.scopus.com/inward/record.url?scp=85046624687&partnerID=8YFLogxK
U2 - 10.1016/j.compeleceng.2018.04.017
DO - 10.1016/j.compeleceng.2018.04.017
M3 - Article
AN - SCOPUS:85046624687
SN - 0045-7906
VL - 68
SP - 447
EP - 462
JO - Computers and Electrical Engineering
JF - Computers and Electrical Engineering
ER -