Delay and interference comparison of CSMA and self-organizing TDMA when used in VANETs
Paper in proceedings, 2011

IEEE 802.11p is the proposed wireless technology for communication between vehicles in a vehicular ad hoc network (VANET) aiming to increase road traffic safety. In a VANET, the network topology is constantly changing, which requires distributed self-organizing medium access control (MAC) algorithms, but more importantly the number of participating nodes cannot be restricted. This means that MAC algorithms with good scalability are needed, which can fulfill the concurrent requirements on delay and reliability from road traffic safety applications. The MAC method of IEEE 802.11p is a carrier sense multiple access (CSMA) scheme, which scales badly in terms of providing timely channel access for a high number of participating nodes. We therefore propose using another MAC method: self-organizing time division multiple access (STDMA) with which all nodes achieve timely channel access regardless of the number of participating nodes. We evaluate the performance of the two MAC methods in terms of the MAC-to-MAC delay, a measure which captures both the reliability and the delay of the delivered data traffic for a varying number of vehicles. The numerical results reveal that STDMA can support almost error-free transmission with a 100 ms deadline to all receivers within 100 m, while CSMA suffers from packet errors. Moreover, for all considered cases, STDMA offers better reliability than CSMA.

VANET

self-organizing TDMA

IEEE 802.11p

STDMA

V2V

vehicle-to-vehicle communication

CSMA

Author

Katrin Sjöberg

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Elisabeth Uhlemann

Halmstad University

Erik Ström

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

7th International Wireless Communications and Mobile Computing Conference, IWCMC 2011; Istanbul; 4-8 July 2011

1488-1493 5982758

Areas of Advance

Information and Communication Technology

Transport

Driving Forces

Sustainable development

Subject Categories

Computer and Information Science

DOI

10.1109/IWCMC.2011.5982758

ISBN

978-142449539-9

More information

Latest update

11/5/2018