Implementations of a selection of clustering algorithms for VANETs, written in C++ for OMNeT++

Supported clustering algorithms:

- Modified Distributed Mobility-Aware Clustering (MDMAC), by Wolny et al.
  Class name: MdmacNetworkLayer

- Adaptive Mobility-Aware Clustering Algorithm with Destination (AMACAD), by Morales et al.
  Class name: AmacadNetworkLayer

- Robust Mobility Adaptive Clustering (RMAC), by Goonewardene et al.
  Class name: RmacNetworkLayer

- Channel and Route Aware Clustering (CRAC), by Cooper et al.
  Class name: ExtendedRmacNetworkLayer

MDMAC also implements a number of clustering metrics:

- Lowest ID; Class name: LowestIdCluster

- Highest Degree; Class name: HighestDegreeCluster

- Lane-Sense Utility Function, by Almalag et al.; Class name: LSUFCluster

- Route Similarity, which counts the consecutive common route links between two nodes, by Cooper et al
  Class name: RouteSimilarityCluster

- Destination Analysis, similar to AMACAD's weight; Class name: AmacadWeightCluster

To compile these you need OMNeT++ 4.2 or later (http://omnetpp.org/), VEINS 2.0 (http://veins.car2x.org/), and Urban Radio Channel (https://github.com/cscooper/URC).

Email me at [email protected] or [email protected] if you have questions.

Publications:

G. Wolny, “Modified dmac clustering algorithm for vanets,” in Systems and Networks Communications, 2008. ICSNC ’08. 3rd International Conference on, 2008, pp. 268–273

M. Morales, C. seon Hong, and Y. C. Bang, “An adaptable mobility- aware clustering algorithm in vehicular networks,” in Network Opera- tions and Management Symposium (APNOMS), 2011 13th Asia-Pacific, Sept 2011, pp. 1–6.

M. Morales, E. J. Cho, C. seon Hong, and S. Lee, “An adaptable mobility-aware clustering algorithm in vehicular networks,” Journal of Computing Science and Engineering, vol. 6, pp. 227–242, Sept 2012.

R. Goonewardene, F. Ali, and E. Stipidis, “Robust mobility adaptive clustering scheme with support for geographic routing for vehicular ad hoc networks,” IET Intell. Transp. Syst., vol. 3, no. 2, p. 148, 2009.

C. Cooper , M. Ros, F. Safaei, D. Franklin, M. Abolhasan, "Simulation of Contrasting Clustering Paradigms under an Experimentally-derived Channel Model", IEEE Vehicular Technology Conference (VTC2014-Fall), Vancouver, Canada, 2014

M. Almalag and M. Weigle, “Using traffic flow for cluster formation in vehicular ad-hoc networks,” in Local Computer Networks (LCN), 2010 IEEE 35th Conference on, 2010, pp. 631–636.

C. Cooper and A. Mukunthan, “Urban radio channel,” 2014. [Online]. Available: https://github.com/cscooper/URC