Experimental Evaluation of Advertisement-Based Bluetooth Low Energy Communication

This paper addresses the efficiency of Bluetooth Low Energy (BLE) communication in a network composed of a large number of tags that transmit information to a single hub using advertisement mode. Theoretical results show that the use of advertisements enables hundreds and thousands of BLE devices to coexist in the same area and at the same time effectively transmit messages. Together with other properties (low power consumption, medium communication range, capability to detect a signal’s angle-of-arrival, etc.), this makes BLE a competing technology for the Internet of Things (IoT) applications. However, as the number of communicating devices increases, the advertisement collision intensifies and the communication performance of BLE drops. This phenomena was so far analyzed theoretically, in simulations and in small-scale experiments, but large-scale experiments are not presented in the literature. This paper complements previous results and presents an experimental evaluation of a real IoT-use case, which is the deployment of over 200 tags communicating using advertisements. We evaluate the impact of the number of advertisements on the effective data reception rate and throughput. Despite the advertisement collision rate in our experiment varying between 0.22 and 0.33, we show that BLE, thanks to the multiple transmission of advertisements, can still ensure acceptable data reception rates and fulfill the requirements of a wide range of IoT applications.

[1]  Feng Xiang,et al.  BLE Neighbor Discovery Parameter Configuration for IoT Applications , 2019, IEEE Access.

[2]  Cinna Soltanpur,et al.  Detailed Examination of a Packet Collision Model for Bluetooth Low Energy Advertising Mode , 2018, IEEE Access.

[3]  Giorgio Pennazza,et al.  A Gas Sensor with BLE connectivity for Wearable Applications , 2018 .

[4]  Igor Bisio,et al.  A new asset tracking architecture integrating RFID, Bluetooth Low Energy tags and ad hoc smartphone applications , 2016, Pervasive Mob. Comput..

[5]  Anton Biasizzo,et al.  Data Transmission Efficiency in Bluetooth Low Energy Versions , 2019, Sensors.

[6]  Antonio Del Campo,et al.  Analysis and Tools for Improved Management of Connectionless and Connection-Oriented BLE Devices Coexistence , 2017, Sensors.

[7]  Konstantin Mikhaylov,et al.  Performance Evaluation of Bluetooth Low Energy Technology Under Interference , 2018, BODYNETS.

[8]  Jongtae Rhee,et al.  A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing , 2018, Sensors.

[9]  Andrzej Duda,et al.  Comparison of the Device Lifetime in Wireless Networks for the Internet of Things , 2017, IEEE Access.

[10]  Antonio Fernández-Caballero,et al.  Performance Evaluation of Bluetooth Low Energy for High Data Rate Body Area Networks , 2016, Wirel. Pers. Commun..

[11]  Silvia Krug,et al.  Modeling and Comparison of Delay and Energy Cost of IoT Data Transfers , 2019, IEEE Access.

[12]  Stefano Giordano,et al.  Experimental assessment of the coexistence of Wi-Fi, ZigBee, and Bluetooth devices , 2011, 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[13]  Matti Siekkinen,et al.  How low energy is bluetooth low energy? Comparative measurements with ZigBee/802.15.4 , 2012, 2012 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[14]  Baichuan Huang,et al.  A Robust Indoor Positioning Method based on Bluetooth Low Energy with Separate Channel Information , 2019, Sensors.

[15]  Robin Kravets,et al.  Bluetooth Low Energy in Dense IoT Environments , 2016, IEEE Communications Magazine.

[16]  Nirvana Meratnia,et al.  An Asynchronous Dual Radio Opportunistic Beacon Network Protocol for Wildlife Monitoring System , 2019, 2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS).

[17]  Domenico Formica,et al.  Performance Evaluation of Bluetooth Low Energy: A Systematic Review , 2017, Sensors.

[18]  Konstantin Mikhaylov,et al.  Performance Analysis and Comparison of Bluetooth Low Energy with IEEE 802.15.4 and SimpliciTI , 2013, J. Sens. Actuator Networks.

[19]  Lingfei Mo,et al.  Analysis of low energy consumption wireless sensor with BLE , 2015, 2015 IEEE SENSORS.

[20]  Carles Gomez,et al.  Opportunistic Sensor Data Collection with Bluetooth Low Energy , 2017, Sensors.

[21]  Byeong-Hee Roh,et al.  Design and implementation of simulator for analysis of BLE broadcast signal collision , 2017, 2017 International Conference on Information Networking (ICOIN).

[22]  Byeong-Hee Roh,et al.  Advertisement Interval to Minimize Discovery Time of Whole BLE Advertisers , 2018, IEEE Access.