Open AccessA Controllable RSU and Vampire Moth to Support the Cluster Stability in VANET
Author(s) -
Ronald Adrián,
Selo Sulistyo,
I Wayan Mustika,
Sahirul Alam
Publication year - 2021
Publication title -
international journal of computer networks and communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.159
H-Index - 8
eISSN - 0975-2293
pISSN - 0974-9322
DOI - 10.5121/ijcnc.2021.13305
Subject(s) - computer science , cluster (spacecraft) , stability (learning theory) , vehicular ad hoc network , convergence (economics) , process (computing) , position (finance) , throughput , topology (electrical circuits) , computer network , mathematics , wireless ad hoc network , telecommunications , machine learning , finance , combinatorics , economics , wireless , economic growth , operating system
VANET has a dynamic topology that affects cluster formation stability. It influences vehicle’s network quality though supporting this stability requires a fast and small cluster formation process. It is necessary because of the rapidly changing condition of the vehicle's position. Moreover, small cluster groups make network quality more evenly distributed among its members. They are essential components in the formation of good clusters in VANET. In the previous research, the algorithm used for this process is based on moth flame optimization. This study proposes modifications in this algorithm to speed up the convergence process, facilitated by a model of turning angles in the moth. Furthermore, the flame at the destination moth is created dynamically to approach the real conditions in VANET. The use of coefficients is further introduced to reduce cluster size according to the traffic conditions. The cluster management process uses a fully controlled Road Side Unit on the vehicle’s traffic conditions. In the final result, the convergence time is slightly faster, with better results in the throughput at 101.1%, the number of clusters at 58.1%, and the delay at 5.5%, respectively.