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Cluster Property based Data Transfer for Efficient Energy Consumption in IoT

사물인터넷의 에너지 효율을 위한 클러스터 속성 기반 데이터 교환

  • 이충산 (강원대학교 컴퓨터정보통신공학과) ;
  • 전수빈 (강원대학교 컴퓨터정보통신공학과) ;
  • 정인범 (강원대학교 컴퓨터정보통신공학과)
  • Received : 2017.03.13
  • Accepted : 2017.06.26
  • Published : 2017.09.15

Abstract

In Internet of Things (IoT), the aim of the nodes (called 'Things') is to exchange information with each other, whereby they gather and share information with each other through self decision-making. Therefore, we cannot apply existing aggregation algorithms of Wireless sensor networks that aim to transmit information to only a sink node or a central server, directly to the IoT environment. In addition, since existing algorithms aggregate information from all sensor nodes, problems can arise including an increasing number of transmissions and increasing transmission delay and energy consumption. In this paper, we propose the clustering and property based data exchange method for energy efficient information sharing. First, the proposed method assigns the properties of each node, including the sensing data and unique resource. The property determines whether the node can respond to the query requested from the other node. Second, a cluster network is constructed considering the location and energy consumption. Finally, the nodes communicate with each other efficiently using the properties. For the performance evaluation, TOSSIM was used to measure the network lifetime and average energy consumption.

사물인터넷 환경에서는 센서 노드가 사물로 의미가 확장되고 각 사물들은 자신만의 의사결정을 통해 사물간 정보 수집 및 공유가 가능하다. 따라서 노드의 데이터를 싱크노드 또는 중앙 서버로 전송하는 것을 목적으로 하는 WSN 정보 수집 방법을 사물인터넷 환경에 그대로 적용하는 것은 비효율적이다. 또한 기존 WSN 방법은 주변 사물들의 정보를 수집하는 과정에서 모든 사물이 정보 수집에 참여하는 방식으로 구성되어 있기 때문에 전송횟수 증가 등의 다양한 문제가 발생한다. 본 논문에서는 각 사물들 간의 에너지 효율적인 정보 공유를 위한 클러스터링 및 속성 기반 데이터 교환 방법을 제안한다. 제안하는 방법은 우선 각 사물이 생산할 수 있는 데이터의 속성을 부여하여 클러스터를 구성한다. 데이터 교환시에는 부여된 속성을 이용해 데이터를 생산할 수 있는 사물들과 통신하여 에너지 효율성을 향상시킨다. 성능평가를 위해 TOSSIM을 이용하여 네트워크 수명, 평균 에너지 소비량 등을 측정하였다.

Keywords

Acknowledgement

Supported by : 한국연구재단

References

  1. Yick, Jennifer, Biswanath Mukherjee, and Dipak Ghosal, "Wireless Sensor Network Survey," Computer Networks, Vol. 52, No. 12, pp. 2292-2330, 2008. https://doi.org/10.1016/j.comnet.2008.04.002
  2. I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E.Cayirci, "Wireless Sensor Networks: A Survey," Computer Networks, Vol. 38, No. 4, pp. 393-422, 2002. https://doi.org/10.1016/S1389-1286(01)00302-4
  3. Xu, Rui, and Donald Wunsch, "Survey of clustering algorithms," IEEE Transactions on Neural Networks, Vol. 16, No. 3, pp. 645-678, 2005. https://doi.org/10.1109/TNN.2005.845141
  4. Pantazis, Nikolaos A, StefaNos A. Nikolidakis, and Dimitrios D. Vergados, "Energy-efficient Routing Protocols in Wireless Sensor Networks: A Survey," IEEE Communications Surveys & Tutorials, Vol. 15, No. 2, pp. 551-591, 2013. https://doi.org/10.1109/SURV.2012.062612.00084
  5. Liu, Xuxun, "A Survey on Clustering Routing Protocols in Wireless Sensor Networks," Sensors, Vol. 12, No. 8, pp. 11113-11153, 2012. https://doi.org/10.3390/s120811113
  6. M. Chae, and I. Jung, "Analysis System for Dumbbell Curl Exercise based on Wireless Sensor Networks," Journal Of The Korea Information Science Society: Computing Practices, and Letters, Vol. 18, No. 1, pp. 19-30, 2012. (in Korean)
  7. J. Lee, and I. Jung, "Priority based Image Transmission Technique with DPCM in Wireless Multimedia Sensor Networks," Journal of the Korea Institute of Information, and Communication Engineering, Vol. 14, No. 4, pp. 1023-1031, 2010. (in Korean) https://doi.org/10.6109/jkiice.2010.14.4.1023
  8. J. Lee, and I., "Adaptive Power Control based Efficient Localization Technique in Mobile Wireless Sensor Networks," Korea Information Processing Society, Vol. 16-C, No. 6, pp. 1-10, 2009. (in Korean)
  9. C. Park, J. Lee, and InBum Jung, "Congestion Control based on Genetic Algorithm in Wireless Sensor Network," Journal of the Korea Information Science Society, Vol. 36, No. 5, pp. 413-424, 2009. (in Korean)
  10. J. Lee, and I. Jung, "Analysis of Packet Transmission Performance for Construction of Wireless Sensor Networks in Indoor Environment," International Journal of Information, and Communication Engineering, Vol. 13, No. 9, pp. 1941-1946, 2009. (in Korean)
  11. H. Choi, and I. Jung, "Smart Lighting Control System using u-Button," Journal of the Korea Institute of Information, and Communication Engineering, Vol. 17, No. 12, pp. 2966-2975, 2013. (in Korean) https://doi.org/10.6109/jkiice.2013.17.12.2966
  12. Y. Jo, J. Choi, and I. Jung, "Traffic Information Acquisition System with Ultrasonic Sensors in Wireless Sensor Networks," International Journal of Distributed Sensor Networks, Vol. 2014, No. 5, Article ID 961073, pp. 12, May, 2014.
  13. P. Levis, S. Madden, J. Polastre, R. Szewczyk, K. Whitehouse, A. Woo, D. Gay, J. Hill, M. Welsh, E. Brewer, and D. Culler, "TinyOS: An Operating System for Sensor Networks," Ambient Intelligence, 35, pp. 115-148, 2005.
  14. CC. Han, R. Kumar, R. Shea, E. Kohler, and M. Srivastava, "A Dynamic Operating System for Sensor Nodes," Proceedings of the 3rd International Conference on Mobile Systems, Applications, and Services, pp. 163-176, 2005.
  15. S. Bhatti, J. Carlson, H. DaiJing Deng, J. Rose, A. Sheth, B. Shucker, C. Gruenwald, A. Torgerson, and R. Han, "MANTIS OS: An Embedded Multithreaded Operating System for Wireless Micro sensor Platforms," Mobile Networks, and Applications, Vol. 10, No. 4, pp. 563-579, 2005. https://doi.org/10.1007/s11036-005-1567-8
  16. S. Park, J. Kim, K. Shin, and D. Kim, "A nano operating system for wireless sensor networks," The 8th International Conference on Advanced Communication Technology, Vol. 1, 2006.
  17. S. Park, "Technical Trend of Sensor Network Node Platform & OS," Electronics, and Telecommunications Trends, Vol. 21, No. 1, pp. 14-24, 2006. (in Korean)
  18. S. Kim, "Sensor Network Research, and Development Commercialization Instance," Technical Trends Every Weeks, No. 1325, pp. 1-14, 2007.
  19. Android Things. [Online]. Available: https://developer.android.com/things/hardware/index.html (accessed on 3 July 2017).
  20. Apple Homekit. [Online]. Available: https://developer.apple.com/homekit/ (accessed on 3 July 2017).
  21. S. Jeon, and I. Jung, "MinT: Middleware for Cooperative Interaction of Things," Sensors, 17, 6, 2017.
  22. C. Park, Y. Jo, and I. Jung, "Cooperative Processing Model for Wireless Sensor Networks," International Journal of Distributed Sensor Networks, Vol. 9, No. 9, 2013.
  23. A. Whitmore, A. Agarwal, and L. Da Xu, "The Internet of Things: A Survey of Topics, and Trends," Information Systems Frontiers, Vol. 17, No. 2, pp. 261-274, 2015. https://doi.org/10.1007/s10796-014-9489-2
  24. L. Da Xu, W. He, and S. Li, "Internet of things in industries: A survey," IEEE Transactions on Industrial Informatics, Vol. 10, No. 4, pp. 2233-2243, 2014. https://doi.org/10.1109/TII.2014.2300753
  25. I. Solis, and K. Obraczka, "Isolines: Energy-Efficient Mapping in Sensor Networks," 10th IEEE Symposium on Computers, and Communications, 2005.
  26. V. Erramilli, I. Matta, and A. Bestavros, "On the Interaction Between Data Aggregation, and Topology Control in Wireless Sensor Networks," IEEE Communications Society Conference on Sensor, and Ad Hoc Communications, and Networks, pp. 557-565, 2004.
  27. M. Ding, X. Cheng, and G. Xue, "Aggregation Tree Construction in Sensor Networks," IEEE Vehicular Technology Conference, pp. 2168-2172, 2003.
  28. H. Luo, et al., "Energy Efficient Routing with Adaptive Data Fusion in Sensor Networks," Proc. of the 2005 Joint Workshop on Foundations of Mobile Computing, pp. 80-88, 2005.
  29. E. Fasolo, M. Rossi, J. Widmer, and M. Zorzi, "In-network Aggregation Techniques for Wireless Sensor Networks: A Survey," IEEE Wireless Communications, Vol. 14, No. 2, 2007.
  30. WR. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "Energy-efficient communication protocol for wireless microsensor networks," Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, 2000.
  31. O. Younis, and S. Fahmy, "HEED: A Hybrid, Energy-efficient, Distributed Clustering Approach for ad HOC Sensor Networks," IEEE Transactions on Mobile Computing, Vol. 3, No. 4, pp. 366-379, 2004. https://doi.org/10.1109/TMC.2004.41
  32. K. Benkic, M. Malajner, P. Planinsic, and Z. Cucej, "Using RSSI Value for Distance Estimation in Wireless Sensor Networks based on ZigBee," 15th International Conference on Systems, Signals, and Image Processing, 2008.
  33. C. Lee, Y. Han, S. Jeon, D. Seo, and I. Jung. "Smart Parking System Using Ultrasonic Sensor, and Bluetooth Communication in Internet of Things," Journal Of The Korea Information Science Society: Transactions on Computing Practices, Vol. 22, No. 6, pp. 268-277, 2016. (in Korean)
  34. P. Levis, N. Lee, M. Welsh, and D. Culler, "TOSSIM: Accurate, and Scalable Simulation of Entire TinyOS Applications," Proc. of the 1st International Conference on Embedded Networked Sensor Systems, pp. 126-137, 2003.