Optimal Advertisement Interval To Minimize Scanning Time of BLE Devices for IoT Services
Optimal Advertisement Interval To Minimize Scanning Time of BLE Devices for IoT Services
- 주제(키워드) BLE , IoT
- 발행기관 아주대학교
- 지도교수 노병희
- 발행년도 2016
- 학위수여년월 2016. 8
- 학위명 석사
- 학과 및 전공 일반대학원 컴퓨터공학과
- 실제URI http://www.dcollection.net/handler/ajou/000000023300
- 본문언어 영어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
The Bluetooth Low Energy (BLE) is one of promising technologies widely used for Internet of things (IoT) services because of its low energy consumption. In IoT, BLE gateways should discover surrounding BLE devices in a short time, regardless of the number of BLE devices in surround. However, this requirement is difficult to achieve when the number of BLE devices is very large. As the number of BLE devices increase, the signal density increase, and the collision problems become more serious. Serious signal collision results in a long discovery delay. On the other hand, high signal density leads to a short average scanning time for each broadcasting signal. In this paper, we analyze the performance of BLE by considering both signal collision and density. Also, we proposed a scheme to estimate the number of surrounding BLE devices, and based on this estimation the optimal AdvInterval could be calculated which make the BLE gateway discover surrounding BLE devices as soon as possible. According the optimal Advinterval, BLE gateway could detect the disappeared devices which move out to the BLE communication range or battery was dead. The simulation results show us that the relationship between AdvInterval and scanning time. Also, according the simulation, we could find that there exists the optimal AdvInterval for given number of BLE devices to minimizes the scanning time.
more목차
1. Introduction 1
2. Background and Related works 4
2.1. BLE scanning and advertisement 4
2.1.1. Advertisement of BLE device 4
2.2.2. Scanning of BLE gateway 5
2.2.Scanning time in BLE devices standpoint 7
3. System model 9
3.1. Relationship between scanning time and advertisement interval 10
3.2. Optimal advertisement interval 13
3.3. The number of BLE devices estimation 20
3.4. Detection of disappeared device 25
4. Simulation 26
4.1. Simulation parameters 26
4.2. Simulation Results 27
4.2.1. Comparision of simulation and experiment 27
4.2.2. Relationship between BLE devices amount and scanning time 29
4.2.3. Optimal advertisement interval 31
5. Conclusion 34
REFERENCE 35
