RSSI-Aware Energy Saving For Large File Downloading on Smartphones

Li, Huan; Chen, Lunde

doi:10.1109/les.2015.2426195

Cited by 15 publications

(3 citation statements)

References 6 publications

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“…Mobile devices are equipped with RSS functionality. Hence, applications, such as user indoor positioning and navigation [24][25][26][27][28][29][30][31] and battery resource management [32], have emerged. In [24], the localization accuracy based on RSS was improved by using a priori information obtained from measurements.…”

Section: Applications Of the Path Loss Modelmentioning

confidence: 99%

Communication of Sensor Data in Underground Mining Environments: An Evaluation of Wireless Signal Quality over Distance

Ikeda

Kolade

Mahboob

et al. 2021

Mining

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The technologies of the fourth industrial revolution have the potential to make zero harm possible for the first time in the history of mining. In the journey toward zero harm, rock stress monitoring systems are important for the risk management process. Although communication systems for underground mining have improved significantly over the past two decades, it remains difficult to achieve reliable-all-the-time wireless communication in ultra-deep level underground mines. The aim of this study is to explore and test a smart phone network for communicating sensor data from the underground production environment to the surface. In this paper, the evaluation and performance over distance of a wireless communication system is performed in underground mining environments. The wireless system transmits the data collected from a sensor installed in a narrow reef stope, horizontal tunnel, and vertical shaft area of a mock underground mine. The evaluation was performed using the received signal strength of a mobile receiver over distance. The path loss coefficients of the underground mining environment were then derived for the measurement areas. The results show that a communication speed of 80 Mbps was achieved in a 60 m range, thus, indicating the potential for the support of applications requiring higher data rates.

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Section: Applications Of the Path Loss Modelmentioning

confidence: 99%

Communication of Sensor Data in Underground Mining Environments: An Evaluation of Wireless Signal Quality over Distance

Ikeda

Kolade

Mahboob

et al. 2021

Mining

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show abstract

“…The traditional indoor positioning algorithms are mainly based on time of arrival (TOA) ranging [6], time difference of arrival (TDOA) ranging [7], received signal strength indicator (RSSI) ranging [8], angle of arrival (AOA) ranging [9], fingerprint matching [10], etc. In 2017, Yang et al proposed a KFL-TOA indoor positioning method based on ultra-wideband (UWB) for the positioning problem in complex indoor environments.…”

Section: Introductionmentioning

confidence: 99%

Indoor 3D Dynamic Reconstruction Fingerprint Matching Algorithm in 5G Ultra-Dense Network

Zhang¹,

Jin²,

Liu³

et al. 2021

KSII TIIS

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In the 5G era, the communication networks tend to be ultra-densified, which will improve the accuracy of indoor positioning and further improve the quality of positioning service. In this study, we propose an indoor three-dimensional (3D) dynamic reconstruction fingerprint matching algorithm (DSR-FP) in a 5G ultra-dense network. The first step of the algorithm is to construct a local fingerprint matrix having low-rank characteristics using partial fingerprint data, and then reconstruct the local matrix as a complete fingerprint library using the FPCA reconstruction algorithm. In the second step of the algorithm, a dynamic base station matching strategy is used to screen out the best quality service base stations and multiple sub-optimal service base stations. Then, the fingerprints of the other base station numbers are eliminated from the fingerprint database to simplify the fingerprint database. Finally, the 3D estimated coordinates of the point to be located are obtained through the K-nearest neighbor matching algorithm. The analysis of the simulation results demonstrates that the average relative error between the reconstructed fingerprint database by the DSR-FP algorithm and the original fingerprint database is 1.21%, indicating that the accuracy of the reconstruction fingerprint database is high, and the influence of the location error can be ignored. The positioning error of the DSR-FP algorithm is less than 0.31 m. Furthermore, at the same signal-to-noise ratio, the positioning error of the DSR-FP algorithm is lesser than that of the traditional fingerprint matching algorithm, while its positioning accuracy is higher.

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“…There is an increasing demand for low power consumption, attracting extensive attention from research workers and experts from different fields [1] [2] [3]. In the opinion of power management [4] [5], power consumption is under control by two main techniques: Dynamic Voltage and Frequency Scaling (DVFS), and Suspend/Resume (or sleep/active) technique. DVFS technique is a hardware-based and powerefficient mechanism which makes dynamic adjustment in processor implementation voltage to decrease the power consumption.…”

Section: Introductionmentioning

confidence: 99%

A Power Optimized Method for Mode Switching in Android Systems

Chen¹,

Shen²

2020

EAI Endorsed Transactions on Collaborative Computing

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How the Suspend/Resume mechanism of smartphone influences the power consumption is examined in the dissertation. Specifically, various unimportant and not so urgent network packets keep awakening the operating system (OS) at the time it is under suspend mode, and switch it from suspend to resume mode continually, which results in more power consumption. Accordingly, an innovative optimization technique was suggested in this paper in order that the awakening of OS can be postponed and the lasting hour of suspend mode can be lengthened to decrease power consumption. Some experiments are also carried out, with the result data suggesting that such technique is an effective way to reduce power consumption by greater than 7.63%. It proves that this technique is workable.

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RSSI-Aware Energy Saving For Large File Downloading on Smartphones

Cited by 15 publications

References 6 publications

Communication of Sensor Data in Underground Mining Environments: An Evaluation of Wireless Signal Quality over Distance

Communication of Sensor Data in Underground Mining Environments: An Evaluation of Wireless Signal Quality over Distance

Indoor 3D Dynamic Reconstruction Fingerprint Matching Algorithm in 5G Ultra-Dense Network

A Power Optimized Method for Mode Switching in Android Systems

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