TY - JOUR
T1 - Efficient Data Dissemination for Urban Vehicular Environments
AU - Chaqfeh, Moumena
AU - El-Sayed, Hesham
AU - Lakas, Abderrahmane
N1 - Funding Information:
Manuscript received March 28, 2017; revised October 1, 2017, January 9, 2018, and April 10, 2018; accepted June 1, 2018. Date of publication August 2, 2018; date of current version March 29, 2019. This work was supported by the Roadway, Transportation, and Traffic Safety Research Center, United Arab Emirates University, under Grant 31R058. The Associate Editor for this paper was L. Yang. (Corresponding author: Moumena Chaqfeh.) The authors are with the Computer and Network Engineering Department, College of Information Technology, United Arab Emirates University, Al Ain 16427, United Arab Emirates (e-mail: [email protected]; [email protected]; [email protected]). Digital Object Identifier 10.1109/TITS.2018.2850068
Publisher Copyright:
© 2000-2011 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - Vehicular communication systems play an important role in the context of smart cities. Different applications are being proposed and evaluated to improve our daily driving in terms of safety and convenience. These applications require efficient data dissemination that guarantees full coverage with minimum overhead and delay. Existing data dissemination protocols often rely on extra communication to gather knowledge about the neighborhood and set the dissemination criteria accordingly. This extra communication poses serious overhead issues that affect the scalability of data dissemination, which is an essential criterion under high density scenarios. In this paper, we propose and evaluate an Efficient multi-directional Data Dissemination Protocol (EDDP), which considers the requirements of an urban vehicular environment without requiring the extra communication overhead. We rely only on simple local data to indicate the road condition for better dissemination performance. In this paper, the design considerations of urban layout include message format, broadcast suppression mechanism, and delay control. The EDDP utilizes the properties of the received messages along with positioning information to make decisions on suppressing broadcasts, with the objective of improving coverage in different directions without unnecessary transmissions. Simulation results show that the EDDP can effectively disseminate traffic data with a high data delivery ratio and a minimized overhead.
AB - Vehicular communication systems play an important role in the context of smart cities. Different applications are being proposed and evaluated to improve our daily driving in terms of safety and convenience. These applications require efficient data dissemination that guarantees full coverage with minimum overhead and delay. Existing data dissemination protocols often rely on extra communication to gather knowledge about the neighborhood and set the dissemination criteria accordingly. This extra communication poses serious overhead issues that affect the scalability of data dissemination, which is an essential criterion under high density scenarios. In this paper, we propose and evaluate an Efficient multi-directional Data Dissemination Protocol (EDDP), which considers the requirements of an urban vehicular environment without requiring the extra communication overhead. We rely only on simple local data to indicate the road condition for better dissemination performance. In this paper, the design considerations of urban layout include message format, broadcast suppression mechanism, and delay control. The EDDP utilizes the properties of the received messages along with positioning information to make decisions on suppressing broadcasts, with the objective of improving coverage in different directions without unnecessary transmissions. Simulation results show that the EDDP can effectively disseminate traffic data with a high data delivery ratio and a minimized overhead.
KW - broadcast overhead
KW - Data dissemination
KW - data redundancy
KW - traffic density
KW - urban layout
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U2 - 10.1109/TITS.2018.2850068
DO - 10.1109/TITS.2018.2850068
M3 - Article
AN - SCOPUS:85050997639
SN - 1524-9050
VL - 20
SP - 1226
EP - 1236
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 4
M1 - 8424495
ER -