한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

한국컴퓨터정보학회 (Korean Society of Computer Information)
권호 표지
DOI QR코드

DOI QR Code

An Efficient Wireless Sensor Network Design considering the different preamble detection capability

  • 투고 : 2020.10.13
  • 심사 : 2020.11.10
  • 발행 : 2020.11.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 논문에서는 진보된 프리앰블 탐지 기술인 MIM을 무선 센서 노드에 적용하는 방안을 제시한다. 또한 MIM 기능을 탑재한 센서 노드들이 IEEE 802.15.4 방식의 센서와 경쟁할 경우 발생할 수 있는 처리량과 공정성 사이의 트레이드오프 관계를 분석한다. MIM 센서들은 IEEE 802.15.4 기반의 센서에 비해 추가적인 동시전송 기회를 가져 처리량 측면에서 이득이 생기는 반면 IEEE 802.15.4 방식의 센서 노드들은 MIM 센서 노드들의 동시다발적인 추가 전송으로 인해 전송 기회를 제한받는다. 성능 평가를 위해 파이썬으로 시험환경을 구축하고 상용 센서 노드의 설정값을 반영하여 모의시험을 수행한 결과 MIM을 적용한 경우 최대 40% 수준의 처리량 향상을 확인하였다. 한편 동시전송 임계값을 적절히 조절함으로써 처리량과 공정성 측면에서 균형을 맞출 수 있음을 확인하였다.

This paper proposes a method of applying an advanced preamble detection technology to wireless sensor nodes and analyzes the trade-off relationship between throughput and fairness that may occur when sensor nodes equipped with the MIM function compete with the legacy IEEE 802.15.4 sensors. Sensor nodes employing the MIM capability have more chances of concurrent transmissions than the legacy IEEE 802.15.4-based sensor nodes, resulting in gains in terms of throughput, whereas the transmission opportunities of 802.15.4 sensor nodes might be limited due to the additional simultaneous transmissions of the MIM sensor nodes. The extensive evaluation results performed under a test environment built using Python program with reflecting the setting value of a commercial sensor node shows MIM sensor nodes outperform up to 40% over the legacy 802.11 sensors. Meanwhile, it was confirmed that a balance can be achieved in terms of throughput and fairness by properly adjusting the concurrent transmission threshold.

키워드

참고문헌

  1. H. Lee, J. Kim, C. Joo, and S. Bahk, "BeaconRider: Opportunistic Sharing of Beacon Air-Time in Densely Deployed WLANs", IEEE 27th International Conference on Network Protocols (ICNP), pp 1-11, Chicago, Illinois, USA, Oct. 2019. DOI: 10.1109/ICNP.2019.8888044
  2. J. Choi, "Detection of Misconfigured Wi-Fi Tethering in Managed Networks", Applied Sciences, vol 10, no 2, 2020. https://doi.org/10.3390/app10207203
  3. M. Mohammad, and M. C. Chan, "Codecast: Supporting Data Driven In-Network Processing for Low-Power Wireless Sensor Networks", ACM/IEEE International Conference on Information Processing in Sensor Networks, pp. 72-83, Apr, 2018, Porto, Portugal, DOI: 10.1109/IPSN.2018.00014
  4. T. Attia, M. Heusse, B. Tourancheau, and A. Duda, "Experimental Characterization of LoRaWAN Link Quality", in 2019 IEEE Global Communications Conference (GLOBECOM), pp. 252-261, HI, USA, Feb 2019. DOI: 10.1109/GLOBECOM38437.2019.9013371
  5. B. Khan, R. A. Rehman, and B-S. Kim, "A Joint Strategy for Fair and Efficient Energy Usage in WLANs in the Presence of Capture Effect", Electronics vol 8. Issue 4, 386, Mar 2019. DOI: 10.1145/3067665.3067672
  6. I. Selinis, K. Katsaros, S. Vahid, R. Tafazolli., "Exploiting the Capture Effect on DSC and BSS Color in Dense IEEE 802.11ax Deployments", in WNS3 '17: Proceedings of the Workshop on ns-3 June 2017, pp. 47-54, NY, US, http://dx.doi.org/10.1145/3067665.3067672
  7. M. Zimmerling, L. Mottola, and S. Santini, "Synchronous Transmissions in Low-Power Wireless: A Survey of Communication Protocols and Network Services", 2020, arXiv:2001.08557
  8. J. Manweiler, N. Santhapuri, S. Sen, R. R. Choudhury, S. Nelakuditi and K. Munagala. "Order Matters: Transmission Reordering in Wireless Networks", IEEE/ACM Transactions on Networking, vol. 20, pp. 353-366. Apr 2011. DOI:10.1109/TNET.2011.2164264
  9. Qualcomm Atheros communication. https://www.qualcomm.com/
  10. X. Ma, P. Zhang, O. Theel, and J. Wei, "Gathering data with packet-in-packet in wireless sensor networks" Journal of Computer Networks, vol 170, Apr 2020, https://doi.org/10.1016/j.comnet.2020.107124
  11. F. Safdari, and A. Gorbenko, "Experimental Evaluation of Performance Anomaly in Mixed Data Rate IEEE802.11ac Wireless Networks", in Proceedings of The 10h IEEE International Conference on Dependable Systems, Services and Technologies, pp. 82-87, June 2019. Leeds UK, DOI: 10.1109/DESSERT.2019.8770038
  12. R. Jain, D.-M. Chiu, and W. R. Hawe, "A quantitative measure of fairness and discrimination for resource allocation in shared computer system", vol. 38. ERL, Digital Equipment Corporation Hudson, MA, Sep 1984. arXiv:cs/9809099v1
  13. Y. Kang, J. Yoo, J. Lee and C. Kim, "A distributed message in message aware concurrent transmission protocol in IEEE 802.11 WLANs", EURASIP Journal on Wireless Communications and Networking, vol 2, Article number: 325, Oct 2012. DOI:10.1186/1687-1499-2012-325
  14. J. A. Ayala-Romero, J. J. Alcaraz, A. Zanella, and M. Zorzi, "Online Learning for Energy Saving and Interference Coordination in HetNets", IEEE Journal on Selected Areas in Communications, vol 37, Issue 6 , June 2019. DOI:10.1109/JSAC.2019.2904362
  15. CC2420 Spec. https://www.ti.com/product/CC2420