Evaluation and optimization of Decentralized Congestion Control Algorithms for Vehicular Networks
2019 (English)In: Proceedings - 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2019, Institute of Electrical and Electronics Engineers Inc. , 2019Conference paper, Published paper (Refereed)
Abstract [en]
Nowadays, road traffic management is becoming a major challenge for realistic society. As a result, reliable communication between vehicles is the key point to this challenge. Currently, IEEE802.11p which is considered as de facto standard for road communication is designed to solve this challenge. However, the communication channel medium is still expected to get congested when a large number of vehicles exist. Target to solve this, European Telecommunication Standards Institute (ETSI) has standardized a set of Decentralized Congestion Control (DCC) mechanisms to control channel load. One of the main topics is achieving channel load control to guarantee reliable communication for platooning systems. In this paper, we focus on investigating on DCC reactive control approaches, aiming to provide comprehensive insights of how DCC framework transmission parameters, i.e. message generation rate, transmission power and data rate, will impact the stability of platooning systems. Besides, for each instance of the transmission parameter, we target to optimize the parameter and propose more stable control algorithms by running repetitive simulations.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019.
Keywords [en]
Electric load management, Highway planning, Roads and streets, Street traffic control, De facto standard, European telecommunication standards institutes, Number of vehicles, Reliable communication, Road traffic management, Transmission parameters, Transmission power, Vehicular networks, Vehicle to vehicle communications
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-47117DOI: 10.1109/DS-RT47707.2019.8958674ISI: 000532498300014Scopus ID: 2-s2.0-85079055329ISBN: 9781728129235 (print)OAI: oai:DiVA.org:mdh-47117DiVA, id: diva2:1395036
Conference
23rd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2019, 8 October 2019 through 9 October 2019
Note
.
2020-02-202020-02-202020-10-13Bibliographically approved