Energy harvesting-based data uploading for Internet of Things

Abstract Uploading data from tremendous devices is one of the most challenging tasks for Internet of Things (IoT) due to the heterogeneous data features and the energy constraints of IoT devices. In this paper, we study the data uploading problem from two tiers. In the first tier, we focus on the sc...

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Main Authors: Gaofei Sun, Xiaoshuang Xing, Xiangping Qin
Format: Article
Language:English
Published: SpringerOpen 2019-06-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13638-019-1421-5
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author Gaofei Sun
Xiaoshuang Xing
Xiangping Qin
author_facet Gaofei Sun
Xiaoshuang Xing
Xiangping Qin
author_sort Gaofei Sun
collection DOAJ
description Abstract Uploading data from tremendous devices is one of the most challenging tasks for Internet of Things (IoT) due to the heterogeneous data features and the energy constraints of IoT devices. In this paper, we study the data uploading problem from two tiers. In the first tier, we focus on the scheduling of data uploading from different IoT devices to a specific access point (AP) by considering the heterogeneous data features such as the freshness of the data, the data length, the data uploading period, and the energy state of the IoT device. In the second tier, we deal with the selection among different APs for one IoT device. An AP selection algorithm is proposed and we prove that the AP selection process would eventually reach a stable state. Simulation study shows that our proposed algorithm can improve the successful data uploading rate and the time slot utilization.
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spelling doaj.art-3e7e76d77b6c4cefa4b9ab042006c16b2022-12-22T01:41:28ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992019-06-012019111310.1186/s13638-019-1421-5Energy harvesting-based data uploading for Internet of ThingsGaofei Sun0Xiaoshuang Xing1Xiangping Qin2Changshu Institute of TechnologyChangshu Institute of TechnologyChangshu Institute of TechnologyAbstract Uploading data from tremendous devices is one of the most challenging tasks for Internet of Things (IoT) due to the heterogeneous data features and the energy constraints of IoT devices. In this paper, we study the data uploading problem from two tiers. In the first tier, we focus on the scheduling of data uploading from different IoT devices to a specific access point (AP) by considering the heterogeneous data features such as the freshness of the data, the data length, the data uploading period, and the energy state of the IoT device. In the second tier, we deal with the selection among different APs for one IoT device. An AP selection algorithm is proposed and we prove that the AP selection process would eventually reach a stable state. Simulation study shows that our proposed algorithm can improve the successful data uploading rate and the time slot utilization.http://link.springer.com/article/10.1186/s13638-019-1421-5Energy harvestingData uploadingInternet of Things
spellingShingle Gaofei Sun
Xiaoshuang Xing
Xiangping Qin
Energy harvesting-based data uploading for Internet of Things
EURASIP Journal on Wireless Communications and Networking
Energy harvesting
Data uploading
Internet of Things
title Energy harvesting-based data uploading for Internet of Things
title_full Energy harvesting-based data uploading for Internet of Things
title_fullStr Energy harvesting-based data uploading for Internet of Things
title_full_unstemmed Energy harvesting-based data uploading for Internet of Things
title_short Energy harvesting-based data uploading for Internet of Things
title_sort energy harvesting based data uploading for internet of things
topic Energy harvesting
Data uploading
Internet of Things
url http://link.springer.com/article/10.1186/s13638-019-1421-5
work_keys_str_mv AT gaofeisun energyharvestingbaseddatauploadingforinternetofthings
AT xiaoshuangxing energyharvestingbaseddatauploadingforinternetofthings
AT xiangpingqin energyharvestingbaseddatauploadingforinternetofthings