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CACC implementation in ns3 with 802.11p
License: GNU General Public License v2.0
This project forked from arayama/ns3-cacc
CACC implementation in ns3 with 802.11p
License: GNU General Public License v2.0
Cooperative Adaptive Cruise Control (CACC) ----------------------------------- The CACC application is implemented in ns3. The example application uses 802.11p helper functions. To simulate the CACC application: The arguments are defined as shown: • RANDSEED = Random Seed set to the random number generator in ns-3 • NumberofNodes = Total number of vehicles in the platoon to simulate starting with front vehicle 0 • Datarate = bit rate for broadcast network in kbps • PacketSize = size of broadcast message to use (typically 200 B) • SimTime = total length of time for simulation to run • Phymode = ns-3 specific defines that abstract the type of Modulation and Coding to be used in 802.11p network ( typically, Rate 1/2 QPSK is given as OfdmRate6MbpsBW10MHz) • PlatoonLength = number of vehicles starting from the front vehicle counted as 0 to actually participate in a platoon ( usually PlatoonLength = NumberofNodes) • HeadwayTime = set h value in seconds • Accln Profile = type of acceleration profile to be used for the Leader vehicle (the acceleration profile files are named with ’.acc’ extension • Caccupdatetime = time span between consecutive CACC updates • Moveupdatetime = time span between consecutive piece wise linear acceleration updates used for vehicle mobility • Leaderupdatetime = time span between consecutive Leader vehicle’s acceleration updates • Dref = reference distance in feet. • ACC basic, CACC U, CACC A, CACC DU and CACC RU = selection on type of CACC (with wireless or without wireless and only using sensors) and ACC to simulate • DMEupdatetime = time span between consecutive Sensor updates • LogfileLocation = folder location to store all the log files generated per simulation • LossStartTime = start time in seconds w.r.t the simulation start time when the loss process acting on the wireless network becomes active • LossDuration = length of time since the LossStartTime till the loss process is active • numLossVehicles = number of vehicles a↵ected by the loss process • MeanBurstLength = MBL for loss process simulation • MeanGoodLength = MGL for loss process simulation • BackupMode = fall back CACC mode to be used in case the wireless network drops packets • distnNoise = standard deviation used to simulate noise in distance measurements • velnoise = standard deviation used to simulate noise in velocity measurements After the simulation finishes, the log files will be stored in LogLocation. A set of different log files contain mobility information (acceleration, velocity, position) about each platooning vehicles, their communication logs ( received time, sent time, packet counter and RSSI in dBm), and CACC related logs (distance error, target acceleration).
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