Salp swarm bio inspired algorithm for detecting non line of sight vehicles in VANETs

Kaviarasan, R.; Arulmurgan, A.

doi:10.1007/s41870-021-00697-9

Cited by 6 publications

(25 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed DTO-NL and competing NLOS localization techniques, including WIDVBA, 22 ROA-APS, 24 ILL-WOA-NLOS, 25 and WDHPBDS, 27 fixed to 300 m and 20 mW, respectively. The frequency at which the vehicular nodes are thought to distribute beacons in the network is 10 Hz, and the rate at which entire beacon packets are relayed via the control channel is 6 Mbits/s.…”

Section: Resultsmentioning

confidence: 99%

“…We note that for a given value of the total number of nodes, the LE for DTO-NL is lower than that for other approaches, such as WIDVBA, 22 ROA-APS, 24 ILL-WOA-NLOS, 25 and WDHPBDS. 27 In comparison to DTO-NL, the LE steadily declines for WIDVBA, 22 ROA-APS, 24 ILL-WOA-NLOS, 25 and WDHPBDS. 27 From 100 to 400 nodes for DTO-NL, the steepness in LE is particularly noticeable.…”

Section: Analysis Of the Proposed Dto-nl With Various Vehicle Nodesmentioning

confidence: 97%

“…The channel usage rate of the suggested DTO-NL technique with various vehicular nodes is therefore confirmed to have increased by 9.24%, 11.46%, 13.48%, and 16.12%, respectively, which is significant to the rival localization methods WIDVBA, 22 ROA-APS, 24 ILL-WOA-NLOS, 25 and WDHPBDS. 27 F I G U R E 3 Channel utilization degree. 22,24,25,27 F I G U R E 4 Latency comparison.…”

Section: Analysis Of the Proposed Dto-nl With Various Vehicle Nodesmentioning

confidence: 99%

“…27 F I G U R E 3 Channel utilization degree. 22,24,25,27 F I G U R E 4 Latency comparison. 22,24,25,27 Figure 4 compares the existing WIDVBA, 22 ROA-APS, 24 ILL-WOA-NLOS, 25 and WDHPBDS 27 localization techniques with various vehicular nodes to the localization delay in warning message delivery attained by the suggested DTO-NL.…”

Section: Analysis Of the Proposed Dto-nl With Various Vehicle Nodesmentioning

confidence: 99%

“…22,24,25,27 F I G U R E 4 Latency comparison. 22,24,25,27 Figure 4 compares the existing WIDVBA, 22 ROA-APS, 24 ILL-WOA-NLOS, 25 and WDHPBDS 27 localization techniques with various vehicular nodes to the localization delay in warning message delivery attained by the suggested DTO-NL. Since it managed the effects of barriers regardless of their sizes and shapes in the network, the localization latency required in warning message transmission is also reduced potentially.…”

Section: Analysis Of the Proposed Dto-nl With Various Vehicle Nodesmentioning

confidence: 99%

See 4 more Smart Citations

NLOS node localization for improving warning message distribution in VANETS

Arunkumar,

Chinnasamy

2023

Concurrency and Computation

View full text Add to dashboard Cite

SummaryVehicular Ad‐hoc Network (VANET) is a vehicle‐to‐vehicle communication technology, which is highly promising due to its continuous demand, applicability, and suitability for public safety. The vehicular nodes establish communication with each other for exchanging traffic data and road maps, especially when warning messages need to be broadcasted on the network during emergency situations. Therefore, accurate vehicle information is necessary in such circumstances to improve the accuracy of Non‐Line‐of‐Sight (NLOS) node localization. In this paper, a Driving Training‐Based Optimization for NLOS Node Localization (DTO‐NL) Scheme is proposed for facilitating better warning message delivery during emergency situations in vehicular networks through a dynamic increase and decrease in the search based on the position of unknown NLOS nodes from the considered anchor nodes employed for localization. The performance of the suggested technique has been analyzed based on parameters like warning message delivery rate, latency, localization error, channel utilization rate, energy consumption, and packet delivery ratio. The proposed DTO‐NL scheme enhances the warning message delivery rate by 9.81%, 11.28%, 14.38%, and 17.64% compared to WIDVBA , ROA‐APS , ILL‐WOA‐NLOS , and WDHPBDS techniques .

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Analysis Of the Proposed Dto-nl With Various Vehicle Nodesmentioning

confidence: 97%

Section: Analysis Of the Proposed Dto-nl With Various Vehicle Nodesmentioning

confidence: 99%

Section: Analysis Of the Proposed Dto-nl With Various Vehicle Nodesmentioning

confidence: 99%

Section: Analysis Of the Proposed Dto-nl With Various Vehicle Nodesmentioning

confidence: 99%

See 3 more Smart Citations

NLOS node localization for improving warning message distribution in VANETS

Arunkumar,

Chinnasamy

2023

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

Sea Turtle Foraging and Hydrozoan Optimization Algorithm-based NLOS Node Positioning Scheme for Reliable Data Dissemination in Vehicular Ad hoc Networks

Subramanian¹,

Vijayakumaran

Hussan

et al. 2022

Wireless Pers Commun

View full text Add to dashboard Cite

Investigating the performance of a vehicular communication system based on visible light communication (VLC)

Mishra

Maheshwari

Grover

et al. 2022

Int. j. inf. tecnol.

View full text Add to dashboard Cite

Salp swarm bio inspired algorithm for detecting non line of sight vehicles in VANETs

Cited by 6 publications

References 25 publications

NLOS node localization for improving warning message distribution in VANETS

NLOS node localization for improving warning message distribution in VANETS

Sea Turtle Foraging and Hydrozoan Optimization Algorithm-based NLOS Node Positioning Scheme for Reliable Data Dissemination in Vehicular Ad hoc Networks

Investigating the performance of a vehicular communication system based on visible light communication (VLC)

Contact Info

Product

Resources

About