Analysis of Bluetooth signal parameters for indoor positioning systems

Subhan, Fazlı; Hasbullah, Halabi; Rozyyev, Azat; Bakhsh, Sheikh Tahir

doi:10.1109/iccisci.2012.6297133

Cited by 24 publications

(17 citation statements)

References 9 publications

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“…The communication between the android device and the mobile robot itself is established by using the Bluetooth module which is HT Bluetooth Module HC-05 [7]. Using the Bluetooth module the wireless communication between the robot and the android device easily can be established compare to other type of communication.…”

Section: Sensors and Interfacementioning

confidence: 99%

Open source hardware and software platform for robotics and artificial intelligence applications

Liang

Tan

Clement

et al. 2016

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract.Recent developments in open source hardware and software platforms (Android, Arduino, Linux, OpenCV etc.) have enabled rapid development of previously expensive and sophisticated system within a lower budget and flatter learning curves for developers. Using these platform, we designed and developed a Java-based 3D robotic simulation system, with graph database, which is integrated in online and offline modes with an Android-Arduino based rubbish picking remote control car. The combination of the open source hardware and software system created a flexible and expandable platform for further developments in the future, both in the software and hardware areas, in particular in combination with graph database for artificial intelligence, as well as more sophisticated hardware, such as legged or humanoid robots.

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Section: Sensors and Interfacementioning

confidence: 99%

Open source hardware and software platform for robotics and artificial intelligence applications

Liang

Tan

Clement

et al. 2016

IOP Conf. Ser.: Mater. Sci. Eng.

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“…But these techniques are not suitable for indoor environments due to accuracy limitation. A Hybrid Indoor Position Estimation [32] technique is proposed to find node location in Bluetooth network. In this technique, inquiry-based Received Signal Strength Indicator (RSSI) is obtained and passed to Kalman filter to estimate position of the target node.…”

Section: Hybrid Indoor Position Estimation Techniquementioning

confidence: 99%

A Self-organizing Location and Mobility-Aware Route Optimization Protocol for Bluetooth Wireless

Bakhsh¹

2016

ijacsa

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Abstract-Bluetooth allows multi-hop ad-hoc networks that contain multiple interconnected piconets in a common area to form a scatternet. Routing is one of the technical issues in a scatternet because nodes can arrive and leave at arbitrary times; hence node mobility has a serious impact on network performance. Bluetooth network is built in an ad-hoc fashion, therefore, a fully connected network does not guarantee. Moreover, a partially connected network may not find the shortest route between source and destination. In this paper, a new Self-organizing Location and Mobility-aware Route Optimization (LMRO) protocol is proposed for Bluetooth scatternet, which is based on node mobility and location. The proposed protocol considered the shortest route ahead of the source and destination nodes through nodes location information. In addition, proposed protocol guarantees network connectivity through executing Self-organizing procedure for the damaged route by considering signal strength. The proposed LMRO protocol predicts node mobility through the signal strength and activates an alternate link before the main link breaks. Simulation results show that the LMRO protocol has reduced the average hop count by 20%-50% and increased network throughput by 30%-40% compared to existing protocols.

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“…and are radio propagation constants. The can vary from 1 to 4 for indoor environment and is average inquiry based RSS value when inquiring device and mobile client are at distance of 1m [6].…”

Section: Inquiry Based Rssmentioning

confidence: 99%

Indoor Localization based on Bluetooth Technology: A Brief Review

Devanshi¹,

Agrawal²,

Singh³

2014

IJCA

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GPS (Global Positioning System) is a widely used and a very popular system for tracking devices and finding out the location of the devices in the outdoor locations. But it is not successful for indoor localization because of reflections of the signals due to walls and presence of furniture and various other factors causing signal attenuation inside a building. Hence, WLAN, Bluetooth, RFID, Wi-Fi are being used for finding positions of devices being carried by people inside a building. Bluetooth, having low power consumption and low cost can be easily found in every single device from a cheap cell phone to a costly smart phone and laptops. In this paper, we are reviewing the recent development that has taken place in the field of Bluetooth indoor positioning and how different approaches and algorithms bring improvement in positioning accuracy and minimize the error.

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Analysis of Bluetooth signal parameters for indoor positioning systems

Cited by 24 publications

References 9 publications

Open source hardware and software platform for robotics and artificial intelligence applications

Open source hardware and software platform for robotics and artificial intelligence applications

A Self-organizing Location and Mobility-Aware Route Optimization Protocol for Bluetooth Wireless

Indoor Localization based on Bluetooth Technology: A Brief Review

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