Autonomous TDMA Alignment for VANETs
Paper in proceedings, 2012

The problem of local clock synchronization is studied in the context of media access control (MAC) protocols, such as time division multiple access (TDMA), for dynamic and wireless ad hoc networks. In the context of TDMA, local pulse synchronization mechanisms let neighboring nodes align the timing of their packet transmissions, and by that avoid transmission interferences between consecutive timeslots. Existing implementations for Vehicular Ad-Hoc Networks (VANETs) assume the availability of common (external) sources of time, such as base-stations or geographical positioning systems (GPS). This work is the first to consider autonomic design criteria, which are imperative when no common time sources are available, or preferred not to be used, due to their cost and signal loss. We present self-. pulse synchronization strategies. Their implementing algorithms consider the effects of communication delays and transmission interferences. We demonstrate the algorithms via extensive simulations in different settings including node mobility. We also validate these simulations in the MicaZ platform, whose native clocks are driven by inexpensive crystal oscillators. The results imply that the studied algorithms can facilitate autonomous TDMA protocols for VANETs.

VANETs

MAC

TDMA

Author

Mohamed Mustafa

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Marina Papatriantafilou

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Elad Schiller

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Amir Tohidi

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Philippas Tsigas

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

IEEE 76th Vehicular Technology Conference: VTC2012-Fall 3-6 September 2012

1090-3038 (ISSN)

1-5

Driving Forces

Sustainable development

Innovation and entrepreneurship

Areas of Advance

Transport

Subject Categories

Computer Science

DOI

10.1109/VTCFall.2012.6399373

ISBN

978-1-4673-1880-8

More information

Created

10/7/2017