시스템 성능 지수 및 동적 전력분산 제어를 통한 무선센서를 이용한에어컨 네트워크 시스템의 성능 개선
Performance Improvement of Air Conditioner Network System using Wireless Sensors Through System Performance Index and Dynamic Power Distribution Control
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Wireless sensors have been developed in numerous ways for enhancing the convenience of installation, management and maintenance of sensors. Energy harvesting wireless sensors, which can collect energy from the external environment for per- manent usage without the need of recharging and exchanging batteries, have been developed and employed used in Internet of Things and at various industrial sites. Energy harvesting wireless sensors are significantly affected by the sensor lifespan to sudden variation in the external environment. Furthermore, reduction in the sensor operating timespan can greatly affect the characteristics of the devices connected through a network. In this paper, a system performance index is proposed that can comprehensively evaluate the lifespan of a solar cell wireless sensor, determine the characteristics of devices connected to the associated network, and recommend dynamic power distribution control for improving the system performance index. Improvement in the system performance index was verified by applying the proposed dynamic power distribution control to an air conditioner network system using a solar cell wireless sensor. Obtained results corroborate that the dynamic power distribution control can extend the lifespan of the incorporated wireless sensor and reduce the air conditioner’s power con- sumption.
Abstract
Wireless sensors have been developed in numerous ways for enhancing the convenience of installation, management and maintenance of sensors. Energy harvesting wireless sensors, which can collect energy from the external environment for per- manent usage without the need of recharging and exchanging batteries, have been developed and employed used in Internet of Things and at various industrial sites. Energy harvesting wireless sensors are significantly affected by the sensor lifespan to sudden variation in the external environment. Furthermore, reduction in the sensor operating timespan can greatly affect the characteristics of the devices connected through a network. In this paper, a system performance index is proposed that can comprehensively evaluate the lifespan of a solar cell wireless sensor, determine the characteristics of devices connected to the associated network, and recommend dynamic power distribution control for improving the system performance index. Improvement in the system performance index was verified by applying the proposed dynamic power distribution control to an air conditioner network system using a solar cell wireless sensor. Obtained results corroborate that the dynamic power distribution control can extend the lifespan of the incorporated wireless sensor and reduce the air conditioner’s power con- sumption.
참고문헌 (13)
- F. I. Simjee, "Efficient charging of supercapacitors for extended lifetime of wireless sensor nodes", IEEE Trans. Power Electron, 23(3), pp.1526~1536 (2008)
- C. Park, "AmbiMax : Autonomous Energy Harvesting Platform for Multi-Supply Wireless Sensor Nodes", 3rd Ann. IEEE Commun. Soc. on Sens. Ad Hoc Commun. Netw(SECON), 1, pp.168~177 (2006)
- Y.K. Tan, "Self-Autonomous Wireless Sensor Nodes with Wind Energy Harvesting for Remote Sensing of Wind-Driven Wildfire Spread", IEEE Trans. on Instrum. Meas., 60(4) (2011)
- V. Leonov, "Thermoelectric Converters of Human Warmth for Self-Powered Wireless Sensor Nodes", IEEE Sens. J, 7(5), pp.650~657 (2007)
- J. Hsu, "Adaptive duty cycling for energy harvesting systems", ISLPED'06 Proc. of the 2006 Int. Symp. on Low Power Electron. Design, pp.180~185 (2006)
- M. Shim, "An Energy-efficient MAC Protocol using Dynamic Duty-cycles for Wireless Sensor Networks with Energy Harvesting", M. S., pp.2010
- D. R. Lee, "The efficient energy management method for wireless sensor node in the energy producing environment", M. S., pp.2012
- C. R. Murthy, "Power Management and Data Rate Maximization in Wireless Energy Harvesting Sensors", 2008IEEE 19th Int. Symp. on Pers., Indoor Mob. Radio Commun., pp.1~5 (2008)
- 배명남, "태양 에너지를 이용한 자가충전 무선 센서노드의 개발", 정보과학회 컴퓨팅의 실제 논문지, 18(1), pp.12~18 (2012), 한국정보과학회
- 박용민, "센서 네트워크에서 클러스터 기반 에너지 효율성을 고려한 개선된 라우팅 프로토콜", 전자공학회논문지 - TC, 45(9), pp.1~7 (2008), 대한전자공학회
- O. M. Gul, "Asymptotically Optimal Scheduling for Energy Harvesting Wireless Sensor Networks", 2017 IEEE 28th Ann. Int. Symp. on Pers., Indoor Mob. Radio Commun. (PIMRC), pp.1~7 (2017)
- Y. Li, "Dynamically Reconfigurable Hardware With a Novel Scheduling Strategy in Energy-Harvesting Sensor Networks", IEEE Sens. J., 13(5), pp.2032~2038 (2013)
- V. S. Rao, "Optimal Task Scheduling Policy in Energy Harvesting Wireless Sensor Network", 2015 IEEE Wirel. Commun. Netw. Conf. (WCNC), pp.1030~1035 (2015)