A 150 µW −57.5 dBm-Sensitivity Bluetooth Low-Energy Back-Channel Receiver with LO Frequency Hopping

2018 ◽  
Author(s):  
Abdullah Alghaihab ◽  
Jacob Breiholz ◽  
Hun-Seok Kim ◽  
Ben Calhoun ◽  
David D. Wentzloff
Keyword(s):  
Frequency Hopping ◽  
Low Energy ◽  
Bluetooth Low Energy

scholarly journals Enhanced Interference Rejection Bluetooth Low-Energy Back-Channel Receiver With LO Frequency Hopping

2019 ◽  
Vol 54 (7) ◽  
pp. 2019-2027 ◽  
Author(s):  
Abdullah Alghaihab ◽  
Yao Shi ◽  
Jacob Breiholz ◽  
Hun-Seok Kim ◽  
Benton H. Calhoun ◽  
...  
Keyword(s):  
Frequency Hopping ◽  
Low Energy ◽  
Interference Rejection ◽  
Bluetooth Low Energy

Enhancing Adaptive Frequency Hopping for Bluetooth Low Energy

2021 ◽  
Author(s):  
Jannis Mast ◽  
Thomas Hanel ◽  
Nils Aschenbruck
Keyword(s):  
Frequency Hopping ◽  
Low Energy ◽  
Bluetooth Low Energy

scholarly journals Efficient Advertiser Discovery in Bluetooth Low Energy Devices

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1707 ◽  
Author(s):  
Seung Whan Song ◽  
Youn Sang Lee ◽  
Fatima Imdad ◽  
Muhammad Tabish Niaz ◽  
Hyung Seok Kim
Keyword(s):  
Energy Consumption ◽  
Mobile Devices ◽  
Frequency Hopping ◽  
Low Energy ◽  
Network Data ◽  
Bluetooth Low Energy ◽  
Energy Devices ◽  
Device Discovery ◽  
Wide Range ◽  
Average Latency

Bluetooth Low Energy (BLE) has become ubiquitous in the majority of mobile devices that connect wirelessly. With the increase in the number of devices, the probability of congestion also increases in a network. Data channels of the BLE use frequency hopping, but it is not available for advertising channels. The capability of the BLE for providing a wide range of parameters settings ensures the impressive potential for BLE devices to customize their discovery latency. But communication before connection setup is not synchronous and both the scanning devices and the advertising devices are unaware of the timing parameters of each other. This can lead to inefficient advertiser device discovery. To resolve this issue, an algorithm is proposed to reduce the average latency per advertiser experienced due to the increase in the number of BLE devices in a vicinity. It is observed that the average latency has shown improvement in the range of 35% to 55%, depending on different simulated scenarios. Due to this improvement the overall energy consumption is also reduced.

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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