دانلود رایگان مقاله آنالیز عملکرد کشف دستگاه (BLE) شبکه بلوتوث کم انرژی

Abstract

Bluetooth Low Energy (BLE) technology has opened a whole new dimension of single-hop wireless communication technology due to its inexpensive and low-power properties. This technology makes it possible for a large number of devices to be connected to the Internet of Things. The BLE mechanism is clearly defined by the standard, however, there is room for improvements in some aspects of the technology such as the discovery process. Although the discovery process of traditional Bluetooth architecture has been intensively investigated through analytical and simulation models over the years, it cannot be applied to the BLE technology because of many changes introduced in the design of the BLE. Recently, there have been several works for performance evaluation of BLE discovery process, but they are not still thorough enough in providing a holistic analysis of the BLE. This has motivated our study for more accurate modeling of the BLE discovery process. Our work focuses on developing an analytical model and carrying out intensive simulations to investigate discovery probability and quantitative examination of the influence of parameter settings on the discovery latency and the energy performance metric of the discovery process.

5. Conclusions

We present analytical models for the discovery probability and the discovery latency and energy consumption on the advertiser side, which are validated through intensive simulations with a wide variety of environments. It is shown the theoretical results well fit the simulation ones. The theoretical and simulations results indicate that a wide range of BLE parameters provide high flexibility for BLE devices to customize efficiently with various applications. We can see that the mean discovery energy slowly rises with the number of scanners, but the number of advertisers does not signifi- cantly affect the energy consumption. We can also see that the advertiser needs more energy with a shorter ScanWindow(τ SW) due to the reduced listening period for receiving the ADU_PDU. Further, when ScanWindow(τ SW) becomes close to ScanInterval(τ SI), the advertiser consumes much less energy. In addition, the average energy and latency increase almost linearly with τ SI on the advertiser side with a fixed value of duty cycle. It can be also seen that AdvInterval(τ AI) does not affect the energy consumption on the advertiser side. We believe that our work can provide insights regarding the practical usage of BLE and helpful guidelines to the design of fast and energy-efficient applications for BLE.