Localization Error Computation for RSSI Based Positioning System in VANETs

Ahmad, Waqas; Ahmed, Sheeraz; Sheeraz, Najia; Khan, Ayub; Ishtiaq, Atif; Saba, Malka

doi:10.1109/aect47998.2020.9194192

Cited by 8 publications

(5 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast, RMCCS is able to extract a dynamic value for the exponent from the RSSI data using the linear relationship. In (Ahmad, et al, 2019), cooperation is also required, this time among RSUs. Again a fixed path loss exponent is used to estimate the distance to the target vehicle.…”

Section: Discussionmentioning

confidence: 99%

“…The observer processes the aggregated information and advertises the target vehicle's actual location. Also, (Ahmad, et al, 2019) describes an RSSI-based localization mechanism that uses nearby stationary roadside units (RSUs) to estimate the location of a target vehicle. Each RSU measures the RSSI values of transmissions from the target and uses them to estimate its distance.…”

Section: Localisation Of Vehiclesmentioning

confidence: 99%

See 1 more Smart Citation

RMCCS: RSSI-based Message Consistency Checking Scheme for V2V Communications

Muhammad

Kearney

Aneiba

et al. 2021

Proceedings of the 18th International Conference on Security and Cryptography

View full text Add to dashboard Cite

V2V messaging systems enable vehicles to exchange safety related information with each other and support road safety and traffic efficiency applications. The effectiveness of these applications depends on the correctness of the information reported in the V2V messages. Consequently, the possibility that malicious agents may send false information is a major concern. The physical features of a transmission are relatively difficult to fake, and one of the most effective ways to detect lying is to check for consistency of these features with vehicle position information in the message. In this paper, we propose a message consistency checking scheme whereby a vehicle acting independently can utilise the strength and variability of received signals to estimate the distance from a transmitting vehicle without prior knowledge of the environment (building density, traffic conditions, etc.). The distance estimate can then be used to check the correctness of the reported position. We show through simulation that our RMCSS method can detect false information with an accuracy of about 90% for separation distances less than 100m. We believe this is sufficient for the method to be a valuable adjunct to use of digital signatures to establish trust.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Localisation Of Vehiclesmentioning

confidence: 99%

RMCCS: RSSI-based Message Consistency Checking Scheme for V2V Communications

Muhammad

Kearney

Aneiba

et al. 2021

Proceedings of the 18th International Conference on Security and Cryptography

View full text Add to dashboard Cite

show abstract

“…The image prediction estimate is calculated using the logic value obtained from the structure sensor. Location accuracy is a serious challenge, according to the authors of [13] They assert that IoT (Internet of Things) position services are among the best. The time-of-arrival measured is raised by the author using a new subspace approach to linearize the nonlinear cost role used in typical location (TOA) situations.…”

Section: Evaluation Of Centroid Localization CL and Weightedmentioning

confidence: 99%

“…(i) This paper's contribution is the novel closed-form localization approach, and it suggests for VANETs, which enables us to estimate the positions of several vehicles (ii) The anchor RSS measurements at the RSUs are the key source of data for the proposed technique. It takes into account a completely connected VANET, which is a typical assumption for network localization [13] (iii) The CRLB, which is the lower bound on the error variance, is also calculated for the suggested closed-form solution [14] (iv) The theoretical mean square error for the suggested closed-form solution is also calculated.…”

Section: Introductionmentioning

confidence: 99%

Received Signal Strength‐Based Localization for Vehicle Distance Estimation in Vehicular Ad Hoc Networks (VANETs)

et al. 2023

View full text Add to dashboard Cite

Vehicular ad hoc networks (VANETs) are an eminent area of intelligent transportation systems (ITS) which includes vehicle tracking, positioning, and emergency warnings. For protective applications, vehicle localization in the urban area is a significant problem. Global Positioning Systems (GPS) are one of the many solutions that have been offered, although they do not offer accuracy. To locate a target vehicle accurately, a unique approach called received signal strength- (RSS-) based localization scheme has been proposed. By detecting signals within its range, it establishes communication through roadside units (RSUs) and determines the typical RSS. Following the discovery of the RSS, the RSS-based localization algorithm helped in determining the precise position of the vehicle. The high signal-to-noise ratio of the proposed algorithm, which is derived from neighbouring RSUs, is its key component. The vehicle’s Cramer Rao lower bound (CRLB) is examined after its position is discovered. Various experimentations considering dynamic vehicles ranging from 2 to 100, localization error, ranging error, and throughput have been conducted which demonstrates that the proposed algorithm (RSS) has better results (87%, 80%, and 120) than other well-established least squares (LS) and weighted least squares methods (WLS).

show abstract

“…All of these achievements belong to the advancements in wireless network technologies including the IoT [125]. In [126] an innovative localization solution based on the LTE signal RSSI measurements is presented, to determine the precise position of a target vehicle. The solution provides the capability of receiving signals within its range, communicating with Road Side Units (RSUs) and calculating the mean of the RSSI.…”

Section: Cellular Based Technologymentioning

confidence: 99%

A Comprehensive Review of Indoor/Outdoor Localization Solutions in IoT era: Research Challenges and Future Perspectives

Asaad¹,

Maghdid²

2021

Preprint

View full text Add to dashboard Cite

<p>The number of connected mobile devices and Internet of Things (IoT) is growing around us, rapidly. Since, most of the people daily activities are relying on these connected things or devices. Specifically, this past year (with COVID-19) changed daily life in abroad and this is increased the use of IoT enabled technologies in health sector, work, and play. Further, the most common service via using these technologies is the localization/positioning service for different applications including: geo-tagging, billing, contact tracing, health-care system, point-of-interest recommendations, social networking, security, and more. Despite the availability of a large number of localization solutions in the literature, the precision of localization cannot meet the needs of consumers. For that reason, this paper provides an in-depth investigation of the existing technologies and techniques in the localization field, within the IoT era. Furthermore, the benefits and drawbacks of each technique with enabled technologies are illustrated and a comparison between the utilized technologies in the localization is made. The paper as a guideline is also going through all of the metrics that may be used to assess the localization solutions. Finally, the state-of-the-art solutions are examined, with challenges and perspectives regarding indoors/outdoors environments are demonstrated.</p>

show abstract

Localization Error Computation for RSSI Based Positioning System in VANETs

Cited by 8 publications

References 24 publications

RMCCS: RSSI-based Message Consistency Checking Scheme for V2V Communications

RMCCS: RSSI-based Message Consistency Checking Scheme for V2V Communications

Received Signal Strength‐Based Localization for Vehicle Distance Estimation in Vehicular Ad Hoc Networks (VANETs)

A Comprehensive Review of Indoor/Outdoor Localization Solutions in IoT era: Research Challenges and Future Perspectives

Contact Info

Product

Resources

About