Fuzzy Adaptive Hysteresis of RSS for Handover Decision in V2V VANET

Main Article Content

Sahirul Alam
Selo Sulistyo
I Wayan Mustika
Ronald Adrian

Abstract

A communication technology which enables the information exchanges between vehicles to support intelligent transportation system is the characteristic of vehicular ad hoc network (VANET). The vast applications of VANET including transportation safety, traffic management, and passenger amenities are also followed by some technical challenges. The rapid topology changes and high nodes mobility are the main source of the challenges. One of the prominent challenges is the handover decision, especially in vehicle to vehicle (V2V) communication. In this paper, handover decision method for V2V VANET is proposed using fuzzy system. The proposed method adjusts the value of received signal strength (RSS) hysteresis adaptively using fuzzy system so that the proposed handover decision method is called fuzzy adaptive hysteresis (FAH). To adjust the value of hysteresis, fuzzy system utilizes RSS value, speed difference, and connected time as the input. Based on the simulation results, the proposed method can reduce handover rate as well as maintaining the higher value of signal to noise ratio (SNR) average.

Article Details

How to Cite
Alam, S., Sulistyo, S., Mustika, I. W., & Adrian, R. (2022). Fuzzy Adaptive Hysteresis of RSS for Handover Decision in V2V VANET. International Journal of Communication Networks and Information Security (IJCNIS), 12(3). https://doi.org/10.17762/ijcnis.v12i3.4859 (Original work published December 23, 2020)
Section
Research Articles
Author Biographies

Sahirul Alam, Universitas Gadjah Mada

Department of Electrical Engineering and Information Technology

Selo Sulistyo, Universitas Gadjah Mada

Department of Electrical Engineering and Information Technology

I Wayan Mustika, Universitas Gadjah Mada

Department of Electrical Engineering and Information Technology

Ronald Adrian, Universitas Gadjah Mada

Department of Electrical Engineering and Information Technology