Paper Info
Title
CG-E2S2: Consistency-guaranteed and energy-efficient sleep scheduling algorithm with data aggregation for IoT.
Abstract
In data acquisition (DAQ)-based services of Internet of things (IoT), IoT devices sense and transmit data to the application server through IoT gateway (GW). Due to the energy limitation of IoT devices, it is important to increase their energy efficiency. Further, when data from a very large number of IoT devices is 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 a long time and/or data are aggregated in IoT GW for a long time without any transmissions, data can become 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 of IoT devices and aggregation duration in IoT GW are jointly determined by means of a Markov decision process (MDP) with the consideration of energy efficiency of IoT devices, data traffic in networks, and data consistency. The 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.
Year
DOI
Venue
2019
10.1016/j.future.2017.08.040
Future Generation Computer Systems
Keywords
Field
DocType
Internet of things (IoT),Markov decision process (MDP),Sleep,Energy,Data aggregation,Data consistency
Scheduling (computing),Computer science,Efficient energy use,Data acquisition,Computer network,Default gateway,Sleep mode,Data aggregator,Application server,Data consistency,Distributed computing
Journal
Volume
ISSN
Citations 
92
0167-739X
2
PageRank 
References 
Authors
0.36
23
3
Name
Order
Citations
PageRank
Haneul Ko17317.42
Jae Wook Lee2338.37
Sangheon Pack3913117.20