2019 Global IoT Summit (GIoTS) 2019
DOI: 10.1109/giots.2019.8766405
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A Vehicle-Approach Alert System Based on the Neighbor Discovery Protocol for Pedestrian Safety

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Cited by 3 publications
(9 citation statements)
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“…The final goal of this study is to suitably design system parameters ∆T, τ, N and α 0 to accommodate typical values of d 1 and v. This section shows numerical results on several scenarios of d 1 and v. Figure 5 shows the relationship between the detection error rate and the detection delay T delay for both passive and ND-based methods with any combinations of system parameters ∆T = 0.2, 0.5 and 1 s and α 0 = 0.5, 0.25 and 0.1. Each figure includes the results for the vehicle velocities v = 40, 20 and −40 km/h with d 1 = 100 m. These parameters stem from the legal speeds for vehicles in residential areas and the communication range of beacons [18]. The parameters related to the propagation model are set as κ = 1 × 10 −3 and λ = 2.35, and the response lag τ in the ND-based method is set as τ = 0.1 s. The simulation values are obtained by a Monte Carlo method, in which RSSI samples are generated randomly according to the PDF (5).…”
Section: Resultsmentioning
confidence: 99%
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“…The final goal of this study is to suitably design system parameters ∆T, τ, N and α 0 to accommodate typical values of d 1 and v. This section shows numerical results on several scenarios of d 1 and v. Figure 5 shows the relationship between the detection error rate and the detection delay T delay for both passive and ND-based methods with any combinations of system parameters ∆T = 0.2, 0.5 and 1 s and α 0 = 0.5, 0.25 and 0.1. Each figure includes the results for the vehicle velocities v = 40, 20 and −40 km/h with d 1 = 100 m. These parameters stem from the legal speeds for vehicles in residential areas and the communication range of beacons [18]. The parameters related to the propagation model are set as κ = 1 × 10 −3 and λ = 2.35, and the response lag τ in the ND-based method is set as τ = 0.1 s. The simulation values are obtained by a Monte Carlo method, in which RSSI samples are generated randomly according to the PDF (5).…”
Section: Resultsmentioning
confidence: 99%
“…Although the global positioning system (GPS) would be helpful to implement the functions mentioned above, the devices would be more costly, and the obtained precision would get low under building shadow. Moreover, the system employing a GPS tend to consume battery energy more quickly; the current consumption by a typical GPS module is about 14.4 mA, and thus the battery life of the device becomes only about 15 h if we employ a coin battery with the capacity of 220 mAh [18]. RSSI-based detection with the proposed ND-based method overcomes the issue of battery exhaustion, which will be described in Section 7.…”
Section: Related Workmentioning
confidence: 99%
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