TY - GEN
T1 - Consistency-guaranteed and energy efficient sleep scheduling algorithm with data aggregation for IoT
AU - Ko, Haneul
AU - Lee, Jaewook
AU - Pack, Sangheon
N1 - 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.
PY - 2017
Y1 - 2017
N2 - 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.
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.
KW - Data aggregation
KW - Data consistency
KW - Energy
KW - Internet of things (IoT2D07122
KW - Markov decision process (MDP)
KW - Sleep
UR - http://www.scopus.com/inward/record.url?scp=85030723743&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85030723743
T3 - European Wireless 2017 - 23rd European Wireless Conference
BT - European Wireless 2017 - 23rd European Wireless Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd European Wireless Conference, EW 2017
Y2 - 17 May 2017 through 19 May 2017
ER -
