BLE Neighbor Discovery Parameter Configuration for IoT Applications
Since the Internet of Things (IoT) applications today employ many different sensors to provide information, a large number of the Bluetooth low energy (BLE) devices will be developed as part of the IoT systems. The low-power and low-cost requirements of all BLE nodes are among the most challenging i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8694777/ |
| _version_ | 1830357509928386560 |
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| author | Bingqing Luo Feng Xiang Zhixin Sun Yudong Yao |
| author_facet | Bingqing Luo Feng Xiang Zhixin Sun Yudong Yao |
| author_sort | Bingqing Luo |
| collection | DOAJ |
| description | Since the Internet of Things (IoT) applications today employ many different sensors to provide information, a large number of the Bluetooth low energy (BLE) devices will be developed as part of the IoT systems. The low-power and low-cost requirements of all BLE nodes are among the most challenging issues when supporting the neighbor discovery process (NDP) for such a large number of devices. Since the parameter settings are essential to achieve the required performance for the NDP, a parameter configuration method for neighbor discovery in BLE can be beneficial for determining some critical parameter metrics, such as the AdvInterval, ScanInterval, and ScanWindow. In this paper, we propose a parameter configuration scheme to balance the tradeoff between discovery latency and energy consumption. In the proposed scheme, the neighbor discovery latency and average energy consumption are expressed based on the Chinese Remainder Theory (CRT). With the expected primary performance, the parameters are configured accordingly using the parameter configuration algorithm. The experimental results show that the performance of the neighbor discovery varies with the parameter settings. Furthermore, two typical IoT applications are assessed in this paper. Compared with the simulation results, the proposed parameter configuration scheme can achieve high accuracy. |
| first_indexed | 2024-12-20T02:25:01Z |
| format | Article |
| id | doaj.art-b985d621956b4537bd931d851aebe5fa |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T02:25:01Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b985d621956b4537bd931d851aebe5fa2022-12-21T19:56:44ZengIEEEIEEE Access2169-35362019-01-017540975410510.1109/ACCESS.2019.29124938694777BLE Neighbor Discovery Parameter Configuration for IoT ApplicationsBingqing Luo0https://orcid.org/0000-0002-2396-3032Feng Xiang1Zhixin Sun2Yudong Yao3Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing University of Posts and Telecommunications, Nanjing, ChinaYTO Express Company Ltd., Shanghai, ChinaLaboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, ChinaDepartment of Electrical and Computer Engineering, Wireless Information Systems Laboratory (WISELAB), Stevens Institute of Technology, Hoboken, NJ, USASince the Internet of Things (IoT) applications today employ many different sensors to provide information, a large number of the Bluetooth low energy (BLE) devices will be developed as part of the IoT systems. The low-power and low-cost requirements of all BLE nodes are among the most challenging issues when supporting the neighbor discovery process (NDP) for such a large number of devices. Since the parameter settings are essential to achieve the required performance for the NDP, a parameter configuration method for neighbor discovery in BLE can be beneficial for determining some critical parameter metrics, such as the AdvInterval, ScanInterval, and ScanWindow. In this paper, we propose a parameter configuration scheme to balance the tradeoff between discovery latency and energy consumption. In the proposed scheme, the neighbor discovery latency and average energy consumption are expressed based on the Chinese Remainder Theory (CRT). With the expected primary performance, the parameters are configured accordingly using the parameter configuration algorithm. The experimental results show that the performance of the neighbor discovery varies with the parameter settings. Furthermore, two typical IoT applications are assessed in this paper. Compared with the simulation results, the proposed parameter configuration scheme can achieve high accuracy.https://ieeexplore.ieee.org/document/8694777/Bluetooth low energyneighbor discoveryparameter configuration |
| spellingShingle | Bingqing Luo Feng Xiang Zhixin Sun Yudong Yao BLE Neighbor Discovery Parameter Configuration for IoT Applications IEEE Access Bluetooth low energy neighbor discovery parameter configuration |
| title | BLE Neighbor Discovery Parameter Configuration for IoT Applications |
| title_full | BLE Neighbor Discovery Parameter Configuration for IoT Applications |
| title_fullStr | BLE Neighbor Discovery Parameter Configuration for IoT Applications |
| title_full_unstemmed | BLE Neighbor Discovery Parameter Configuration for IoT Applications |
| title_short | BLE Neighbor Discovery Parameter Configuration for IoT Applications |
| title_sort | ble neighbor discovery parameter configuration for iot applications |
| topic | Bluetooth low energy neighbor discovery parameter configuration |
| url | https://ieeexplore.ieee.org/document/8694777/ |
| work_keys_str_mv | AT bingqingluo bleneighbordiscoveryparameterconfigurationforiotapplications AT fengxiang bleneighbordiscoveryparameterconfigurationforiotapplications AT zhixinsun bleneighbordiscoveryparameterconfigurationforiotapplications AT yudongyao bleneighbordiscoveryparameterconfigurationforiotapplications |