Distance measurement with smartphone using acceleration model of hand movement

Tantamjarik, Eakawat; Tanprasert, Thitipong

doi:10.1109/kst.2016.7440479

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…The mobile rescuer starts at (0,0) and keeps moving around with calculating its relative location using accelerometer and magnetic sensor. 24 Also, the unknown victim node calculates the distance to the rescuer using a RSSI value of a received beacon from the mobile rescuer. In our NS-2 simulation, we added an error factor to both rescuer's location calculation (8) and RSSI-based distance calculation between a victim and a rescuer (9).…”

Section: Ns-2 Simulationmentioning

confidence: 99%

“…Specifically, each position of a rescuer is calculated using acceleration double integration and magnetic sensors. 24…”

Section: Proposed Rescue Platform: Rescuetalkmentioning

confidence: 99%

“…Specifically, each position of a rescuer is calculated using acceleration double integration and magnetic sensors. 24 When a victim node gets a beacon from an anchor i whose location is l i = (x i , y i ), it calculates the distance d i from itself to the anchor based on RSSI of the beacon signal and it extracts the anchor's location information, l i = (x i , y i ) from the beacon frame. The stored set B of received beacons is defined as below where n is the latest beacon number.…”

Section: Survivor Localization Algorithmsmentioning

confidence: 99%

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Building a disaster rescue platform with utilizing device-to-device communication between smart devices

Han

2018

International Journal of Distributed Sensor Networks

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Recently, the world is facing more risk of natural disasters as a result of ongoing climate changes. One of the most critical obstacles in disaster mitigation (especially rescue operation) is lack of communication and localization of survivors in disaster sites. This article develops a disaster rescue platform for quick and accurate rescue operation with utilizing direct communication on smart hand-held devices such as Bluetooth and Wi-Fi. Specifically, we attempt to design an application-layer ad hoc network over smart devices without relying on centralized cellular networks or wireless access points. This study also incorporates a mobile localization algorithm to effectively perform disaster rescue objectives. Specifically, it aims (1) to accurately locate survivors, (2) to help rescuers to find victims quickly, and (3) to minimize calculation overheads for power saving on smart devices. This article verifies the proposed approach with presenting simulation and implementation results compared to other studies.

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Section: Ns-2 Simulationmentioning

confidence: 99%

“…Specifically, each position of a rescuer is calculated using acceleration double integration and magnetic sensors. 24…”

Section: Proposed Rescue Platform: Rescuetalkmentioning

confidence: 99%

Section: Survivor Localization Algorithmsmentioning

confidence: 99%

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