Adrian, Ronald and Sulistyo, Selo and Mustika, I. Wayan and Alam, Sahirul (2020) Roadside Unit Power Saving using Vehicle Detection System in Vehicular Ad-hoc Network. 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2020. 198 - 202.
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Abstract
VANETs need electrical resources to operate their equipment, with the most significant power consumption capable of playing complex roles in the infrastructure network located in the RSU. The main resource of power for the VANET is electricity, which is currently expensive, with excess consumption capable of increasing operational and maintenance costs. Therefore, it is necessary to have an efficient method of using electric power consumption for optimal utilization. Therefore, this research aims to solve these problems by proposing a VDS method, which is capable of detecting vehicles entering the coverage of an RSU. The proposed method tends to enable RSU to run in two operating modes, namely active and sleep. The active mode serves the full connection to the vehicles, while the sleep mode is the idle state of RSU. The application of this method has been proven to reduce the electrical power consumption of RSU macrocell and microcell by 22.2. The VDS is compelling in low traffic flows, however, it is not inferior when implemented in high vehicle traffic. © 2021 Elsevier B.V., All rights reserved.
| Item Type: | Article |
|---|---|
| Additional Information: | Cited by: 9 |
| Uncontrolled Keywords: | Electric power utilization; Electric utilities; Energy efficiency; Intelligent systems; Vehicles; Electric power consumption; Electrical power consumption; Electrical resources; Infrastructure networks; Macrocell and microcell; Maintenance cost; Optimal utilization; Vehicle detection systems; Vehicular ad hoc networks |
| Subjects: | Q Science > Q Science (General) T Technology > T Technology (General) |
| Divisions: | Faculty of Engineering > Electrical and Information Technology Department |
| Depositing User: | Sri JUNANDI |
| Date Deposited: | 10 Oct 2025 07:32 |
| Last Modified: | 10 Oct 2025 07:32 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/22046 |
