Mechanisms for improving throughput and energy efficiency of Bluetooth Low Energy for multi node environment

2015 ◽  
Vol 21 (3) ◽  
pp. 165-180 ◽  
Author(s):  
Konstantin Mikhaylov ◽  
Tuomo Hänninen
Keyword(s):  
Energy Efficiency ◽  
Low Energy ◽  
Bluetooth Low Energy

scholarly journals Efficient Communication Scheme for Bluetooth Low Energy in Large Scale Applications

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6371
Author(s):  
Maciej Nikodem ◽  
Mariusz Slabicki ◽  
Marek Bawiec
Keyword(s):  
Energy Efficiency ◽  
Large Scale ◽  
Real Life ◽  
Low Energy ◽  
Typical Application ◽  
Bluetooth Low Energy ◽  
Iot Applications ◽  
Communication Scheme ◽  
Improve Device ◽  
The Internet Of Things

The use of Bluetooth Low Energy (BLE) in the Internet-of-Things (IoT) applications has become widespread and popular. This has resulted in the increased number of deployed BLE devices. To ensure energy efficiency, applications use connectionless communication where nodes broadcast information using advertisement messages. As the BLE devices compete for access to spectrum, collisions are inevitable and methods that improve device coexistence are required. This paper proposes a connectionless communication scheme for BLE that improves communication efficiency in IoT applications where a large number of BLE nodes operate in the same area and communicate simultaneously to a central server. The proposed scheme is based on an active scanning mode and is compared with a typical application where passive scanning mode is used. The evaluation is based on numerical simulations and real-life evaluation of a network containing 150 devices. The presented scheme significantly reduces the number of messages transmitted by each node and decreases packet loss ratio. It also improves the energy efficiency and preserves the battery of BLE nodes as they transmit fewer radio messages and effectively spent less time actively communicating. The proposed connectionless BLE communication scheme can be applied to a large variety of IoT applications improving their performance and coexistence with other devices operating in the 2.4 GHz band. Additionally, the implementation complexity and costs of the proposed communication scheme are negligible.

scholarly journals A Q-Learning-Based Approach for Enhancing Energy Efficiency of Bluetooth Low Energy

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 21286-21295
Author(s):  
Xing Fu ◽  
Loberi Lopez-Estrada ◽  
Jeong Geun Kim
Keyword(s):  
Energy Efficiency ◽  
Low Energy ◽  
Bluetooth Low Energy ◽  
Q Learning

RFID, NFC, Beacons, and the Infrastructures of Logistical Locative Media

2020 ◽  
pp. 474-486
Author(s):  
Jordan Frith
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Near Field ◽  
Low Energy ◽  
Near Field Communication ◽  
Rfid Tags ◽  
Bluetooth Low Energy ◽  
Locative Media ◽  
Frequency Identification ◽  
Machine Readable

The phrase the Internet of things was originally coined in a 1999 presentation about attaching radio frequency identification (RFID) tags to individual objects. These tags would make the objects machine-readable, uniquely identifiable, and, most importantly, wirelessly communicative with infrastructure. This chapter evaluates RFID as a piece of mobile communicative infrastructure, and it examines two emerging forms: near-field communication (NFC) and Bluetooth low-energy beacons. The chapter shows how NFC and Bluetooth low-energy beacons may soon move some types of RFID to smartphones, in this way evolving the use of RFID in payment and transportation and enabling new practices of post-purchasing behaviors.

scholarly journals Research on a Bluetooth Low Energy Warning Method

2020 ◽  
Vol 1631 ◽  
pp. 012162
Author(s):  
Yan Long ◽  
Yongli Chen ◽  
Deyong Xiao ◽  
Zheng Li ◽  
Tianpeng Hou ◽  
...  
Keyword(s):  
Low Energy ◽  
Bluetooth Low Energy
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