Location-Based Services: Current State of The Art and Future Prospects

Rajalakshmi, K.; Goyal, Mukta

doi:10.1007/978-981-10-7395-3_69

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…LBS is an information service with software orientation provided by mobile devices to perform control operations using location-based data [16]. This information service can be accessed using a mobile device via the internet network and can display the geographic position of the mobile device [10].…”

Section: B Location-based Service (Lbs)mentioning

confidence: 99%

Design and Implementation of Smart Parking System Using Location-Based Service and Gamification Based On Internet Of Things

2021

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Information on the number of available parking slot capacity and trip routes to the destination parking area, and motivation in choosing a parking area location are parameters that can help two-wheeled vehicle users choose the right parking area location. The three parameters that determine the accuracy of selecting a parking area location are implemented in an Internet of Things (IoT) based smart parking system. This system can provide information about the maximum number of slot capacities and the number of available slot capacities at the parking area. Two-wheeled riders are given information about which route to take to the destination parking area by utilizing the Location-Based Service (LBS). These two features are then supported by applying the gamification method to motivate two-wheeled riders to choose the right parking area. The smart parking system is tested with considered Quality of Service (QoS) parameter and black box testing. The results of testing the smart parking system produce QoS performance on the Line of Sight (LOS) test, with an average delay is 71.66 ms, average jitter is 107.59 ms, and throughput is 23 kbps. Meanwhile, in the non-LOS test, the average delay is 132.88 ms, the average jitter is 200.84 ms, and the throughput is 12 kbps. Overall system performance obtained the percentage of reliability is 99.65 %, and availability is 99.65 %. In black-box testing, LBS and gamification methods can implement according to application requirements specifications.

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Section: B Location-based Service (Lbs)mentioning

confidence: 99%

Design and Implementation of Smart Parking System Using Location-Based Service and Gamification Based On Internet Of Things

2021

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“…Mobile phone tracking technology has already been used in the tourism and commercial sector providing mobile phone customers with location-based services, such as information about nearby facilities of interest: restaurants, shops, stations (Rajalakshmi and Goyal, 2018). This paper consists in a case study from France that uses GSM data to assess passenger trip volumes at the national level.…”

Section: Mobile Phone Trackingmentioning

confidence: 99%

Use of Mobile Telecommunication Data in Transport Modelling

Essadeq

Janik

2021

International Transport Forum Discussion Papers

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“…Localization is an important function of mobile devices. Smartphones, tablets, and wireless network devices provide not only communication functions but, thanks to being able to measure one’s current location, can also help users navigate and provide location-based services [1]. Mobile devices are now equipped with multiple radio interfaces that can be used to estimate device location.…”

Section: Introductionmentioning

confidence: 99%

Aggregation of GPS, WLAN, and BLE Localization Measurements for Mobile Devices in Simulated Environments

Książek

Grochla

2019

Sensors

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There are multiple available technologies to find the location of a mobile device, such as the Global Positioning System (GPS), Bluetooth Low-Energy beacons (BLE), and Wireless LAN (WLAN) localization. We propose a novel method to estimate the location of a moving device by aggregating information from multiple positioning systems into a single, more precise location estimation. The aggregated location is calculated as the place in which the product of the probability density functions (PDF) of individual methods has the maximum value. The experimental probability density functions of the three analyzed technologies are fitted by gamma distributions based on error histograms found in the literature and measurement data. The location measurements of the individual technologies are provided at different time instants, so the weighted product of the PDFs is used to improve aggregation accuracy. The discrete event-simulation model was used to evaluate the aggregation method with the Gauss–Markov mobility model. Simulations demonstrated that the calculated aggregated location was more accurate than any of the methods taken as the input, and average error was decreased by almost 13% compared to an arithmetic mean of the three considered localization methods, and by more than 36% compared to the single method with the highest accuracy.

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Location-Based Services: Current State of The Art and Future Prospects

Cited by 4 publications

References 11 publications

Design and Implementation of Smart Parking System Using Location-Based Service and Gamification Based On Internet Of Things

Design and Implementation of Smart Parking System Using Location-Based Service and Gamification Based On Internet Of Things

Use of Mobile Telecommunication Data in Transport Modelling

Aggregation of GPS, WLAN, and BLE Localization Measurements for Mobile Devices in Simulated Environments

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