Performance anomaly of neighbor discovery in Bluetooth Low Energy

2016 ◽  
Author(s):  
Hojin Lee ◽  
Dongseok Ok ◽  
Joonsub Han ◽  
Iksoon Hwang ◽  
Kangtae Kim
Keyword(s):  
Low Energy ◽  
Neighbor Discovery ◽  
Bluetooth Low Energy ◽  
Performance Anomaly

Modeling Neighbor Discovery in Bluetooth Low Energy Networks

2012 ◽  
Vol 16 (9) ◽  
pp. 1439-1441 ◽  
Author(s):  
Jia Liu ◽  
Canfeng Chen ◽  
Yan Ma
Keyword(s):  
Low Energy ◽  
Neighbor Discovery ◽  
Bluetooth Low Energy ◽  
Energy Networks

scholarly journals Reconfigurable Intelligent Surface-Assisted Bluetooth Low Energy Link in Metal Enclosure

2021 ◽  
Vol 2 ◽  
Author(s):  
Mir Lodro ◽  
Gabriele Gradoni ◽  
Jean-Baptiste Gros ◽  
Steve Greedy ◽  
Geoffroy Lerosey
Keyword(s):  
Communication Systems ◽  
Local Area ◽  
Low Energy ◽  
Packet Error Rate ◽  
Neighbor Discovery ◽  
Communication Link ◽  
Bluetooth Low Energy ◽  
Sixth Generation ◽  
Data Rates ◽  
Communication Links

Reconfigurable intelligent surface (RIS) technology is at the forefront for its transformative role in future wireless communication systems such as wireless local area networks (WLAN), sixth-generation (6G) communication, and internet-of-things (IoT). This paper presents RIS-assisted Bluetooth low energy (BLE) communication links in neighbor discovery mode. We optimized the packet error rate (PER) performance of the BLE communication link in a highly reflecting metal enclosure environment. We used one RIS for the PER optimization of four BLE physical (PHY) modes. Then, we used two RISs simultaneously in a distributed and centralized manner to further optimize the PER of all BLE PHY modes. We found PER optimization using two RISs is better than the PER optimization using one RIS. Additionally, PER optimization using a centralized arrangement of RISs outperformed PER optimization using distributed arrangement. We found the coded BLE modes i.e., LE500K and LE125K show lower PER than the uncoded counterpart i.e., LE1M and LE2M. This is because uncoded BLE PHY modes have higher data rates than the coded BLE PHY modes. Because of additional channel power gains introduced by RIS-based passive beamforming, the PER of coded and uncoded BLE PHY modes is further reduced.

scholarly journals Neighbor Discovery for IPv6 over BLE Mesh Networks

2020 ◽  
Vol 10 (5) ◽  
pp. 1844
Author(s):  
Bingqing Luo ◽  
Zhixin Sun ◽  
Yu Pang ◽  
Awais Ahmad ◽  
Jinzhao Lin ◽  
...  
Keyword(s):  
Mesh Networks ◽  
Smart Cities ◽  
Low Energy ◽  
Neighbor Discovery ◽  
City Management ◽  
Bluetooth Low Energy ◽  
Ipv6 Address ◽  
Distance Communication ◽  
Seamless Connection ◽  
Neighbor Discovery Protocol

IPv6 over Bluetooth Low Energy (6LoBLE) can realize the seamless connection between Bluetooth Low Energy (BLE) devices and the Internet, solve the restrictions on Bluetooth applications as short distance communication solutions, and advance the development of applications of smart cities, such as smart buildings and smart city management. Since neighbor discovery is the first step for BLE devices to establish a connection with each other, this paper proposes a novel neighbor discovery protocol for IPv6 over BLE mesh networks, including the structure of IPv6 over BLE mesh networks, the networking solutions, and IPv6 address auto-configuration and update mechanism. Furthermore, we analyze and simulate the performance of the neighbor discovery protocol utilizing the Revierbed simulator, and the results show the effectiveness of the proposed neighbor discovery protocol even in a crowded environment.

scholarly journals Energy Modeling of Neighbor Discovery in Bluetooth Low Energy Networks

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4997 ◽  
Author(s):  
Bingqing Luo ◽  
Jincheng Gao ◽  
Zhixin Sun
Keyword(s):  
Energy Consumption ◽  
Chinese Remainder Theorem ◽  
Low Cost ◽  
Average Energy ◽  
Low Energy ◽  
Neighbor Discovery ◽  
Bluetooth Low Energy ◽  
Challenging Tasks ◽  
Average Energy Consumption ◽  
Set Up

Given that current Internet of Things (IoT) applications employ many different sensors to provide information, a large number of the Bluetooth low energy (BLE) devices will be developed for IoT systems. Developing low-power and low-cost BLE advertisers is one of most challenging tasks for supporting the neighbor discovery process (NDP) of such a large number of BLE devices. Since the parameter setting is essential to achieve the required performance for the NDP, an energy model of neighbor discovery in BLE networks can provide beneficial guidance when determining some significant parameter metrics, such as the advertising interval, scan interval, and scan window. In this paper, we propose a new analytical model to characterize the energy consumption using all possible parameter settings during the NDP in BLE networks. In this model, the energy consumption is derived based on the Chinese remainder theorem (CRT) for an advertising event and a scanning event during the BLE NDP. In addition, a real testbed is set up to measure the energy consumption. The measurement and experimental results reveal the relationship between the average energy consumption and the key parameters. On the basis of this model, beneficial guidelines for BLE network configuration are presented to help choose the proper parameters to optimize the power consumption for a given IoT application.

Neighbor discovery latency in bluetooth low energy networks

2018 ◽  
Vol 26 (3) ◽  
pp. 1773-1780 ◽  
Author(s):  
Bingqing Luo ◽  
Jia Xu ◽  
Zhixin Sun
Keyword(s):  
Low Energy ◽  
Neighbor Discovery ◽  
Bluetooth Low Energy ◽  
Energy Networks
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