Miguel Sepulcre, Javier Gozalvez, Onur Altintas, and Haris Kremo Adaptive beaconing for congestion and awareness control in vehicular networks Miguel Sepulcre, Javier Gozalvez, Onur Altintas, and Haris Kremo Vehicular Networking Conference (VNC) 2014

Vehicular networks Cooperative vehicular networks require the exchange of messages The dynamic adaptation of the transmission parameters is needed - Congestion control - Awareness control

Congestion control Control the channel load The adaptation of the transmission parameters based on channel load metrics LIMERIC and PULSAR

Awareness control Adequately support cooperative vehicular applications Adapt the transmission parameters to ensure each vehicle’s capacity to detect and possibly communicate MINT

To date Congestion and awareness control protocols have been normally designed and evaluated separately This paper proposes INTERN (integration of congestion and awareness control), a new control protocol that integrates congestion and awareness control processes

Benchmark protocols Congestion control - LIMERIC (linear message rate integrated control) - PULSAR (periodically updated load sensitive adaptive rate control) Awareness control - MINT (minimum packet transmission frequency)

LIMERIC LIMERIC adapts the packet transmission frequency based on a target channel load level and the channel load rg is the overall target packet frequency r(t-1) represents the measured overall packet frequency by the vehicle in the previous time window

PULSAR PULSAR adapts the packet transmission frequency of each vehicle using an additive increase multiplicative decrease (AIMD) technique If the CBR is above CBRmax, the packet transmission frequency is decreased by a multiplicative factor CBRmax is the maximum CBR within two hops

MINT Each vehicle proactively adapts its transmission parameters to the minimum needed to satisfy its individual application’s requirements MINT sets the packet transmission frequency equal to the application’s packet reception frequency plus a fixed margin ΔTf=1Hz

INTERN INTERN integrates MINT with the linear control process proposed in LIMERIC Additionally INTERN exploits the benefits of the 2-hops piggybacking proposed in PULSAR Finally, INTERN calculates the transmission power following MINT

Simulation parameters

Evaluation scenarios Scenario 1 – highway crossing

Performance evaluation

Evaluation scenarios Scenario 2 – highway

Performance evaluation

Performance evaluation