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Handover Decision for V2V Communication in VANET Based on Moving Average Slope of RSS

Sahirul Alam, Selo Sulistyo, I Wayan Mustika, and Ronald Adrian
Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia

Abstract—In a vehicular ad hoc network (VANET), the nodes have very high mobility and hence, it is an important challenge to maintain the quality of communication. Due to the mobility, the vehicle nodes should perform handover from one infrastructure to another. Thus, the better quality of signal can be obtained. In vehicle to vehicle (V2V) communication, the nodes may experience more frequent handover than in vehicle to infrastructure (V2I) communication. Frequent handover can aggravate the networks especially in routing process, since the network topology is also changed when a handover occurred. Moreover, the network resources are also used for handover process and hence the communication overhead increases. In this paper, a handover decision method is proposed to reduce the handover rate in V2V communication while maintaining the quality of signal. The proposed method utilizes the moving average slope of received signal strength (MAS-RSS) and signal to noise ratio (SNR) threshold in handover decision process. The MAS-RSS technique is used to observe the trend of RSS fluctuation and hence the handover can be decided adaptively with the change of the network condition. As the result, the handover rate can be reduced without causing the significant decrease of SNR average compared to the ordinary RSS based handover decision method.
 
Index Terms—Handover decision, mobile infrastructure, moving average slope, received signal strength, vehicular ad hoc network, vehicle to vehicle

Cite: Sahirul Alam, Selo Sulistyo, I Wayan Mustika, and Ronald Adrian, "Handover Decision for V2V Communication in VANET Based on Moving Average Slope of RSS," Journal of Communications vol. 16, no. 7, pp. 284-293, July 2021. Doi: 10.12720/jcm.16.7.284-293

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.