The absence of proper infrastructure and rapid change in topological formation makes it challenging to adapt the appropriate clustering scheme for choosing a stable cluster head. In this paper, we propose an Adaptive REsilience Algorithm (AREA) for cluster reformation in VANET that takes into account multiple interrelated metrics including the direction, relative velocity, and inter-nodal distance of the moving vehicles yielding a stable clustering with better life time. Simulation results clearly exhibit the robustness and stability of the proposed algorithm.
AREA: Adaptive Resilience Algorithm for clustering in Vehicular Ad-hoc Networks / Sherazi, Hafiz Husnain Raza; Iqbal, Razi; Grieco, Luigi Alfredo. - ELETTRONICO. - (2019). (Intervento presentato al convegno 18th IEEE International Symposium on Network Computing and Applications, NCA 2019 tenutosi a Cambridge, MA nel September 26-28, 2019) [10.1109/NCA.2019.8935026].
AREA: Adaptive Resilience Algorithm for clustering in Vehicular Ad-hoc Networks
Sherazi, Hafiz Husnain Raza;Grieco, Luigi Alfredo
2019-01-01
Abstract
The absence of proper infrastructure and rapid change in topological formation makes it challenging to adapt the appropriate clustering scheme for choosing a stable cluster head. In this paper, we propose an Adaptive REsilience Algorithm (AREA) for cluster reformation in VANET that takes into account multiple interrelated metrics including the direction, relative velocity, and inter-nodal distance of the moving vehicles yielding a stable clustering with better life time. Simulation results clearly exhibit the robustness and stability of the proposed algorithm.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
