Handover decision for v2v communication in vanet based on moving average slope of rss

Alam, Sahirul and Sulistyo, Selo and Mustika, I. Wayan and Adrian, Ronald (2021) Handover decision for v2v communication in vanet based on moving average slope of rss. Journal of Communications, 16 (7). 284 – 293. ISSN 17962021

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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. © 2021 Journal of Communications.

Item Type: Article
Additional Information: Cited by: 9; All Open Access, Hybrid Gold Open Access
Uncontrolled Keywords: Handover decision, mobile infrastructure, moving average slope, received signal strength, vehicular ad hoc network, vehicle to vehicle
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Sri JUNANDI
Date Deposited: 29 Oct 2024 08:47
Last Modified: 29 Oct 2024 08:47
URI: https://ir.lib.ugm.ac.id/id/eprint/8462

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