Delay and interference comparison of CSMA and self-organizing TDMA when used in VANETs
Paper i proceeding, 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.

vehicle-to-vehicle communication

CSMA

V2V

VANET

IEEE 802.11p

STDMA

self-organizing TDMA

Författare

Katrin Bilstrup

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

Elisabeth Uhlemann

Högskolan i Halmstad

Erik Ström

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

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

1488-1493 5982758

Styrkeområden

Informations- och kommunikationsteknik

Transport

Drivkrafter

Hållbar utveckling

Ämneskategorier

Data- och informationsvetenskap

DOI

10.1109/IWCMC.2011.5982758

ISBN

978-142449539-9