Beacon Placement Optimisation for Indoor Positioning

There’s recent research into Sensor placement optimization for critical-grid coverage problem of indoor positioning (PDF). The paper investigates how to reduce deployment cost by placing more sensors in areas that require higher accuracy rather than using a uniform deployment scheme. Areas are differentiated as either being ‘critical’ or ‘common’. For example, in a railway station, … Continue reading “Beacon Placement Optimisation for Indoor Positioning”

Positioning, Tracking and Flow Using Bluetooth Signals

There’s new research into Developing a Solution for Mobility and Distribution Analysis Based on Bluetooth and Artificial Intelligence. The paper describes an efficient solution for locating, tracking, analysing distribution and flow of people and/or vehicles. Filters and algorithms including artificial intelligence and angle of arrival (AoA) were employed. The resultant system provided for analysis of … Continue reading “Positioning, Tracking and Flow Using Bluetooth Signals”

New Windows Bluetooth LE Analyzer

Acrylic have a new Windows-based Bluetooth LE Analyzer that can be used to check for and test Bluetooth devices. The application has a scanner showing the Bluetooth signal strength range (RSSI): It also provides analysis using dynamic and customizable graphs showing RSSI (signal strength), signal distribution over time and approximate device distance. A BLE beacon … Continue reading “New Windows Bluetooth LE Analyzer”

Using Bluetooth Beacons to Measure Gait Speed

There’s recent research into using Bluetooth beacons to measure human gait speed. The ability to walk can be used as a core indicator of health in aging and disease. For example, it can enable early detection of cognitive diseases such as dementia or Alzheimer’s disease. Researchers at Universitat Jaume I and University of Extremadura, Spain, … Continue reading “Using Bluetooth Beacons to Measure Gait Speed”

iBeacon Deployment Performance Evaluation

There’s recent work by researchers at Hong Kong Polytechnic University on Performance Evaluation of iBeacon Deployment for Location-Based Services in Physical Learning Spaces. The paper examines signal availability, signal stability and position accuracy under different environmental conditions. The aim was to provide recommendations for iBeacon deployment location, density, transmission interval and fingerprint space interval. While … Continue reading “iBeacon Deployment Performance Evaluation”

Bluetooth Sleuth App

There’s a new app Bluetooth Sleut‪h by Sean McNeil for iPhone, iPad and Mac. The app scans for advertising devices, optionally with a specific CoreBluetooth UUID, and displays them including RSSI (signal strength). It can connect to devices that are connectable and then browse device the Bluetooth Services and Characteristics. For iBeacons, it’s also possible … Continue reading “Bluetooth Sleuth App”

Improving iBeacon Location Accuracy

There are lots of ways of processing Bluetooth signal strength (RSSI) to determine location. Being based on radio, RSSI suffers from fluctuations, over time, even when the sender and receiver don’t move. The College of Surveying and GeoInformatics, Tongji University, Shanghai , China has new research on iBeacon-based method by integrating a trilateration algorithm with … Continue reading “Improving iBeacon Location Accuracy”

Differences in Beacon System on a Chip (SoC)

You can find the processor chip in the specification section of our beacon descriptions. Most people don’t know what this means or implies. This article will help you make a more informed choice. There are currently three main chip families from Texas Instruments (CC25xx, CC26xx), Dialog Semiconductor (DAxxxx) and Nordic Semiconductor (nRF51xxx and nRF52xxx). These … Continue reading “Differences in Beacon System on a Chip (SoC)”