AREA: Adaptive Resilience Algorithm for clustering in Vehicular Ad-hoc Networks

被引：1

作者：

Sherazi, Hafiz Husnain Raza ^{[1
]}

Iqbal, Rani ^{[2
]}

Grieco, Liugi Alfredo ^{[1
]}

机构：

[1] Politecn Bari, Dept Elect & Info Engn, Bari, Italy

[2] Univ Engn & Technol, KICS, Lahore, Pakistan

来源：

2019 IEEE 18TH INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (NCA) | 2019年

关键词：

Intelligent Transportation Systems; VANET clustering algorithm; cluster head selection; cluster reformation;

D O I：

10.1109/nca.2019.8935026

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：171 / 173

页数：3

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