Consistency-guaranteed and energy efficient sleep scheduling algorithm with data aggregation for IoT

Haneul Ko; Jaewook Lee; Sangheon Pack

Consistency-guaranteed and energy efficient sleep scheduling algorithm with data aggregation for IoT

Haneul Ko, Jaewook Lee, Sangheon Pack

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

In data acquisition (DAQ)-based services of Internet of things (IoT), IoT devices sense data and transmit data to the application server through IoT gateway (GW). Due to the energy limitation of IoT devices, it is an important issue to increase energy efficiency of IoT devices. Meanwhile, when data from a huge number of IoT devices are individually transmitted, the data traffic volume can be significant. To resolve these issues, IoT devices and IoT GW can use sleep mode and data aggregation, respectively. However, when the IoT devices are in sleep mode for long time and/or data are aggregated in IoT GW for long time without any transmissions, the data can be inconsistent. In this paper, we propose a consistency-guaranteed and energy efficient sleep scheduling algorithm (CG-E2S2) with data aggregation. In CG-E2S2, the optimal sleep duration and the number of aggregated data are jointly determined by means of Markov decision process (MDP) with the consideration of energy efficiency of IoT devices, data traffic in networks, and data consistency. Evaluation results demonstrate that CG-E2S2 with the optimal policy outperforms the comparison schemes in terms of energy efficiency, data traffic volume, and data consistency.

Original language	English
Title of host publication	European Wireless 2017 - 23rd European Wireless Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9783800744268
Publication status	Published - 2017
Event	23rd European Wireless Conference, EW 2017 - Dresden, Germany Duration: 2017 May 17 → 2017 May 19

Publication series

Name	European Wireless 2017 - 23rd European Wireless Conference

Other

Other	23rd European Wireless Conference, EW 2017
Country/Territory	Germany
City	Dresden
Period	17/5/17 → 17/5/19

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT This work was supported by National Research Foundation (NRF) of Korea Grant funded by the Korean Government (MSIP) (No. NRF-2014R1A2A1A12066986) and the R&D program of MOTIE/KEIT [10051306, Development of Vehicular Cloud-based Dynamic Security Framework for Internet of Vehicles (IoV) Services].

Publisher Copyright:
© VDE VERLAG GMBH · Berlin · Offenbach.

Keywords

Data aggregation
Data consistency
Energy
Internet of things (IoT2D07122
Markov decision process (MDP)
Sleep

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Consistency-guaranteed and energy efficient sleep scheduling algorithm with data aggregation for IoT. / Ko, Haneul; Lee, Jaewook; Pack, Sangheon.
European Wireless 2017 - 23rd European Wireless Conference. Institute of Electrical and Electronics Engineers Inc., 2017. 8011288 (European Wireless 2017 - 23rd European Wireless Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ko, H, Lee, J & Pack, S 2017, Consistency-guaranteed and energy efficient sleep scheduling algorithm with data aggregation for IoT. in European Wireless 2017 - 23rd European Wireless Conference., 8011288, European Wireless 2017 - 23rd European Wireless Conference, Institute of Electrical and Electronics Engineers Inc., 23rd European Wireless Conference, EW 2017, Dresden, Germany, 17/5/17.

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abstract = "In data acquisition (DAQ)-based services of Internet of things (IoT), IoT devices sense data and transmit data to the application server through IoT gateway (GW). Due to the energy limitation of IoT devices, it is an important issue to increase energy efficiency of IoT devices. Meanwhile, when data from a huge number of IoT devices are individually transmitted, the data traffic volume can be significant. To resolve these issues, IoT devices and IoT GW can use sleep mode and data aggregation, respectively. However, when the IoT devices are in sleep mode for long time and/or data are aggregated in IoT GW for long time without any transmissions, the data can be inconsistent. In this paper, we propose a consistency-guaranteed and energy efficient sleep scheduling algorithm (CG-E2S2) with data aggregation. In CG-E2S2, the optimal sleep duration and the number of aggregated data are jointly determined by means of Markov decision process (MDP) with the consideration of energy efficiency of IoT devices, data traffic in networks, and data consistency. Evaluation results demonstrate that CG-E2S2 with the optimal policy outperforms the comparison schemes in terms of energy efficiency, data traffic volume, and data consistency.",

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note = "Funding Information: ACKNOWLEDGEMENT This work was supported by National Research Foundation (NRF) of Korea Grant funded by the Korean Government (MSIP) (No. NRF-2014R1A2A1A12066986) and the R&D program of MOTIE/KEIT [10051306, Development of Vehicular Cloud-based Dynamic Security Framework for Internet of Vehicles (IoV) Services]. Publisher Copyright: {\textcopyright} VDE VERLAG GMBH · Berlin · Offenbach.; 23rd European Wireless Conference, EW 2017 ; Conference date: 17-05-2017 Through 19-05-2017",

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AB - In data acquisition (DAQ)-based services of Internet of things (IoT), IoT devices sense data and transmit data to the application server through IoT gateway (GW). Due to the energy limitation of IoT devices, it is an important issue to increase energy efficiency of IoT devices. Meanwhile, when data from a huge number of IoT devices are individually transmitted, the data traffic volume can be significant. To resolve these issues, IoT devices and IoT GW can use sleep mode and data aggregation, respectively. However, when the IoT devices are in sleep mode for long time and/or data are aggregated in IoT GW for long time without any transmissions, the data can be inconsistent. In this paper, we propose a consistency-guaranteed and energy efficient sleep scheduling algorithm (CG-E2S2) with data aggregation. In CG-E2S2, the optimal sleep duration and the number of aggregated data are jointly determined by means of Markov decision process (MDP) with the consideration of energy efficiency of IoT devices, data traffic in networks, and data consistency. Evaluation results demonstrate that CG-E2S2 with the optimal policy outperforms the comparison schemes in terms of energy efficiency, data traffic volume, and data consistency.

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M3 - Conference contribution

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Consistency-guaranteed and energy efficient sleep scheduling algorithm with data aggregation for IoT

Abstract

Publication series

Other

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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Cite this