@article{ART002234174},
author={Kyunghee Sun and Jaesun Lee and Intae Ryoo},
title={A Energy Efficient Group Management MAC Scheme for Mobile Sensor Devices in IoT Systems},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2017},
volume={12},
number={3},
pages={405-414},
doi={10.34163/jkits.2017.12.3.002}
TY - JOUR
AU - Kyunghee Sun
AU - Jaesun Lee
AU - Intae Ryoo
TI - A Energy Efficient Group Management MAC Scheme for Mobile Sensor Devices in IoT Systems
JO - Journal of Knowledge Information Technology and Systems
PY - 2017
VL - 12
IS - 3
PB - Korea Knowledge Information Technology Society
SP - 405
EP - 414
SN - 1975-7700
AB - Mobile sensor devices are one of the key components of IoT systems and can collect data in inaccessible or hazardous areas. The battery capacity of mobile sensor devices is limited and battery replacement for mobile sensor devices may be difficult or impossible. Therefore, mobile sensor devices in IoT systems should minimize energy consumption. In this paper, we propose an energy efficient Group Management MAC scheme for mobile sensor devices in IoT systems. The proposed Group Management MAC scheme groups the sensor devices based on the hop (distance) from the sink node. The mobile sensor devices transmits collected data only to other mobile sensor devices of next higher group level. When any mobile sensor device moves and can’t transmit data to the next higher group level, the sensor device is assigned a new group ID and transmits data to the new route. In addition, the energy efficiency of the entire IoT system can be improved by transmitting data based on a pre-configured buffer threshold value that are set differently for each group. The proposed Group Management MAC scheme shows excellent behavior in the aspect of energy efficiency for the IoT system by simulation. Therefore, the proposed scheme might be adaptable for mobile sensor devices used in various kinds of computing and networking environments.
KW - Mobile sensor device;Energy efficiency;IoT;Sensor network;Group management MAC
DO - 10.34163/jkits.2017.12.3.002
ER -
Kyunghee Sun, Jaesun Lee and Intae Ryoo. (2017). A Energy Efficient Group Management MAC Scheme for Mobile Sensor Devices in IoT Systems. Journal of Knowledge Information Technology and Systems, 12(3), 405-414.
Kyunghee Sun, Jaesun Lee and Intae Ryoo. 2017, "A Energy Efficient Group Management MAC Scheme for Mobile Sensor Devices in IoT Systems", Journal of Knowledge Information Technology and Systems, vol.12, no.3 pp.405-414. Available from: doi:10.34163/jkits.2017.12.3.002
Kyunghee Sun, Jaesun Lee, Intae Ryoo "A Energy Efficient Group Management MAC Scheme for Mobile Sensor Devices in IoT Systems" Journal of Knowledge Information Technology and Systems 12.3 pp.405-414 (2017) : 405.
Kyunghee Sun, Jaesun Lee, Intae Ryoo. A Energy Efficient Group Management MAC Scheme for Mobile Sensor Devices in IoT Systems. 2017; 12(3), 405-414. Available from: doi:10.34163/jkits.2017.12.3.002
Kyunghee Sun, Jaesun Lee and Intae Ryoo. "A Energy Efficient Group Management MAC Scheme for Mobile Sensor Devices in IoT Systems" Journal of Knowledge Information Technology and Systems 12, no.3 (2017) : 405-414.doi: 10.34163/jkits.2017.12.3.002
Kyunghee Sun; Jaesun Lee; Intae Ryoo. A Energy Efficient Group Management MAC Scheme for Mobile Sensor Devices in IoT Systems. Journal of Knowledge Information Technology and Systems, 12(3), 405-414. doi: 10.34163/jkits.2017.12.3.002
Kyunghee Sun; Jaesun Lee; Intae Ryoo. A Energy Efficient Group Management MAC Scheme for Mobile Sensor Devices in IoT Systems. Journal of Knowledge Information Technology and Systems. 2017; 12(3) 405-414. doi: 10.34163/jkits.2017.12.3.002
Kyunghee Sun, Jaesun Lee, Intae Ryoo. A Energy Efficient Group Management MAC Scheme for Mobile Sensor Devices in IoT Systems. 2017; 12(3), 405-414. Available from: doi:10.34163/jkits.2017.12.3.002
Kyunghee Sun, Jaesun Lee and Intae Ryoo. "A Energy Efficient Group Management MAC Scheme for Mobile Sensor Devices in IoT Systems" Journal of Knowledge Information Technology and Systems 12, no.3 (2017) : 405-414.doi: 10.34163/jkits.2017.12.3.002