DOI QR코드

DOI QR Code

에너지 수집형 무선 센서네트워크에서 센싱된 데이터에 기반한 듀티싸이클 스케줄링기법

Sensed Data based Duty-Cycle Scheduling Scheme for Energy Harvesting Wireless Sensor Networks

  • Park, Hyung-Kun (School of Electrical Electronic and Communication Engineering, KOREATECH)
  • 투고 : 2018.01.29
  • 심사 : 2018.02.23
  • 발행 : 2018.04.30

초록

센서네트워크의 전력문제를 해결할 수 있는 에너지 수집형 무선 센서네트워크 (EH-WSN)에 대한 관심이 증가하고 있다. EH-WSN에서는 에너지 수집과 소비의 균형을 맞추기 위한 on-off 듀티싸이클링에 관한 연구가 많이 진행되고 있다. 그러나 환경감시를 위한 EH-WSN에서 센싱된 데이터의 긴급성과 에너지 수집율은 네트워크의 성능을 결정하는 중요한 요소가 된다. 따라서 단순히 전력의 균형 상태를 유지하는 것 이외에 센싱된 데이터의 중요도 및 에너지 수집율에 따라 듀티싸이클 주기를 조절할 필요성이 대두된다. 본 논문에서는 환경감시를 위한 EH-WSN에서 기존의 전력만을 고려한 on-off 듀티싸이클링의 문제점을 분석하고, 센싱값의 변화율 및 크기값에 의한 센싱 데이터의 우선순위 및 에너지 수집율 등을 고려하여 적응적으로 on-off 주기를 결정하는 듀티싸이클 스케줄링 기법을 제안한다. 시뮬레이션을 통해 제안된 듀티싸이클 스케줄링의 성능을 분석하였다.

There is a growing interest in EH-WSN (energy-harvesting wireless sensor networks) that can solve power problems in wireless sensor networks. In EH-WSN, on-off duty cycling is being studied in order to balance energy harvesting and consumption. However, the urgency of the sensed data and the energy harvesting rate in the environmental monitoring EH-WSN are important factors to determine the network performance. Therefore, it is necessary to control the duty-cycle period according to the importance of the sensed data and the energy harvesting rate in addition to simply maintaining the balance of the power. In this paper, we analyze the problem of on-off duty cycling in EH-WSN for environmental monitoring and propose an adaptive duty-cycle scheduling scheme considering the priority of sensed data and energy harvesting rate, where the priority of sensed data determined by sensed value and changing rate. The performance of scheduling scheme was analyzed by computer simulations.

키워드

참고문헌

  1. P. Huang et al., "The Evolution of MAC Protocols in Wireless Sensor Networks: A Survey," IEEE Communications Survey Tutorials, vol.15, no. 1, pp.101-120, April 2013. https://doi.org/10.1109/SURV.2012.040412.00105
  2. Nagineni Sharoon, "Dynamic Path construction in Multi-Hop Wireless Networks", Asia-pacific Journal of Convergent Research Interchange, vol.2, no.2, pp. 19-25, June 2016.
  3. Y. Sun, O. Gurewitz, D. B. Johnson, "RI-MAC: a receiver-initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks", in Proceedings of the 6th ACM conference on Embedded network sensor systems, Raleigh: NY, pp. 1-4, November, 2008.
  4. M. L. Ku, W. Li, Y. Chen and K. J. Ray Liu, "Advances in Energy Harvesting Communications: Past, Present, and Future Challenges," IEEE Communications Surveys & Tutorials, vol.18, no.2, pp.1384-1412, 2016. https://doi.org/10.1109/COMST.2015.2497324
  5. J. Yi, M. Kang and D. Noh, "Solar Energy Harvesting Wireless Sensor Network Simulator," Journal of the Korea Institute of Information and Communication Engineering vol.19, no. 2, pp.477-485, Feb., 2015. https://doi.org/10.6109/jkiice.2015.19.2.477
  6. Z. A. Eu, H. P. Tan, Winston K.G. Seah, "Design and performance analysis of MAC schemes for wireless sensor networks powered by ambient energy harvesting," Ad Hoc networks, vol.9, no. 3, pp.300-323, May, 2011. https://doi.org/10.1016/j.adhoc.2010.07.014
  7. J. He, L. Duan, FenHou, P. Hou, P. Cheng, and J. Chen, "Multiperiod Scheduling for Wireless Sensor Networks: A Distributed Consensus Approach", IEEE Transaction. on signal processing, vol. 63, no. 7, April, 2015
  8. P. Ramezani, M. R. Pakravan, "Overview of MAC protocols for energy harveting wireless sensor networks," in Proccedings of the IEEE 26th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, Hongkong, pp.2032-2037, August 2015.
  9. S. Kosunalp, "MAC protocols for energy harvesting wireless sensor networks: survey," ETRI journal, vol.37, no.4, pp.804-812, August 2015. https://doi.org/10.4218/etrij.15.0115.0017
  10. C. Shen, and S. Chen, "A cyber-physical design for indoor temperature monitoring using wireless sensor networks," in Proccedings of 2017 IEEE Wireless Communications and Networking Conference, San Francisco: CA, pp. 1-6, March 2017.