Journal of Internet Computing and Services (인터넷정보학회논문지)

Korean Society for Internet Information (한국인터넷정보학회)
권호 표지
DOI QR코드

DOI QR Code

An Energy-Efficient and Practical Duty-Cycling Mechanism on Building Automation and Home Sensor Networks

빌딩 자동화 및 홈 센서 네트워크에서 에너지 효율적이고 실용적인 듀티사이클링 메커니즘

  • 김미희 (국립한경대학교 컴퓨터웹정보공학과) ;
  • 홍준석 (경기대학교 경영정보학과)
  • Received : 2012.05.03
  • Accepted : 2012.05.31
  • Published : 2012.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

In order to show the gap between theory and practice, this paper first gives some experimental results for theoretical and real neighbor sets on a test-bed sensor network. The results prove that existing management protocols (e.g., duty-cycling, routing or aggregation) based on the theoretical communication radius cannot achieve their original goal, efficiency. In this paper, we present a practical duty-cycling mechanism based on the real neighbor set, allowing for energy-efficiency. It also guarantees to suppress duplicated transmissions of sensing values with similarity within a specific threshold in each zone (i.e., a portion of intended divided network). Simulation results performed with a set of real sensor data show that our mechanism increases the network life time while guaranteeing the transmission of necessary sensing values.

본 논문에서는 이론과 실제 현상의 차이를 보이기 위해 우선 테스트베드 센서 네트워크에서 이론에 기반한 이웃 노드 집합과 실제 연결 설정된 이웃 노드 집합의 차이의 결과를 보인다. 이러한 결과는 이론적 통신 반경에 근거한 관리 메커니즘들(예, 듀티사이클링, 라우팅, 애그리게이션 등)이 의도한 성능을 얻지 못할 가능성을 시사해 준다. 본 논문에서는 에너지 효율성을 고려하여 실제 이웃 노드 집합에 기반한 실용적인 듀티사이클링 메커니즘을 제안한다. 이 메커니즘은 각 존(의도되어 분할된 네트워크의 일부 영역)에서 특정 임계치 내의 유사성을 가진 센싱값들의 중복 전송을 억제한다. 실제 센서 데이터를 이용한 시뮬레이션을 통하여 제안한 메커니즘이 중요 센싱값의 전송을 보장하며, 네트워크 라이프타임을 증가시킴을 보인다.

Keywords

References

  1. R. Wischinski, "Wireless Sensor Networks for Building Automation," Spinwave Systems, Inc., http://www.spinwavesystems.com/whitepapers/whitepaper.pdf (Last visited at May. 19, 2010).
  2. S. Hyun and M. Kim, "An efficient code dissemination mechanism for building automation and industrial control networks," ICUIMC, 2011.
  3. F. Ye, H. Luo, J. Cheng, S. Lu, and L. Zhang, "A Two-tier data dissemination model for large-scale wireless sensor networks," ACM/IEEE MOBICOM, 2002.
  4. C. Intanagonwiwat, R. Govindan, and D. Estrin, "Directed diffusion: a scalable and robust communication paradigm for sensor networks," ACM MobiCom, Boston, MA, pp.56-67, 2000
  5. Y. Xu and D. Estrin, "Geography-Informed Energy Conservation for Ad Hoc Routing MobiCom, 2001.
  6. Y. Xu, S. Bian, Y. Mori, J. Heidemann, and D. Estrin, "Topology Control Protocols to Conserve Energy in Wireless Ad Hoc Networks," Technicalreport, 2003.
  7. J.N. Al-Karaki, R. Ul-Mustafa, and A.E. Kamal, "Data Aggregation in Wireless Sensor Networks - Exact and Approximate Algorithms," IEEE Workshop on High Performance Switching and Routing (HPSR), Phoenix, Arizona, USA, April 2004.
  8. J. Zhao and R. Govindan, "Understanding packet delivery performance in dense wireless sensor networks," First International Conference on Embedded Networked Sensor Systems(SenSys), NewYork, NY, USA, pp.1-13, 2003.
  9. A. Woo, T. Tong, and D. Culler, "Taming the underlying challenges of reliable multihop routing in sensor networks," First International Conference on Embedded Networked Sensor Systems(SenSys), NewYork, NY, USA, pp.14-27, 2003.
  10. J. Bicket, D. Aguayo, S. Biswas, and R. Morris, "Architecture and evaluation of an unplanned 802.11b mesh network," ACM Mobicom, pp.31-42, 2005.
  11. V.C. Gungor, B. Lu, and G.P. Hancke, "Opportunities and Challenges of Wireless Sensor Networks in Smart Grid," Industrial Electronics, IEEE Transactions on, vo.57Issue10, pp.3557-3564, Oct.2010. https://doi.org/10.1109/TIE.2009.2039455
  12. W. Ye, J. Heidemann, and D. Estrin, "An Energy-Efficient Mac Protocol for Wireless Sensor Networks," INFOCOM, 2002.
  13. T. van Dam and K. Langendoen, "An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks," SenSys, 2003.
  14. "WiSeNET, "available at http://research. csc.ncsu.edu/netsrv/?q=node/6 (Last visited on July 24, 2011).
  15. M. Zúñigaand, B. Krishnamachari, "Optimal Transmission Radius for Flooding in Large Scale Sensor Networks," Cluster Computing, vo.8, no.2-3, pp.167-178, 2005. https://doi.org/10.1007/s10586-005-6182-8
  16. C. Hartung, R. Han, C. Seielstad, and S. Holbrook, "FireWxNet: A MultiTiered Portable Wireless System for Monitoring Weather Conditions in Wildland Fire Environments," MobiSys, 2006.
  17. O. Younis and S. Fahmy, "HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks, "IEEE Trans. Mobile Computing, vo.3, no.4, pp.366-379, Oct.-Dec.2004. https://doi.org/10.1109/TMC.2004.41