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프리앰블 탐지 성능의 차이를 고려한 효율적인 무선 센서 네트워크 디자인

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

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주제분류컴퓨터학

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 있는처리량과 공정성 사이의 트레이드오프 관계를 분석한다. MIM 센서들은 IEEE 802.15.4 기반의 센서에비해 추가적인 동시전송 기회를 가져 처리량 측면에서 이득이 생기는 반면 IEEE 802.15.4 방식의 센서노드들은 MIM 센서 노드들의 동시다발적인 추가 전송으로 인해 전송 기회를 제한받는다. 성능 평가를위해 파이썬으로 시험환경을 구축하고 상용 센서 노드의 설정값을 반영하여 모의시험을 수행한 결과MIM을 적용한 경우 최대 40% 수준의 처리량 향상을 확인하였다. 한편 동시전송 임계값을 적절히 조절함으로써 처리량과 공정성 측면에서 균형을 맞출 수 있음을 확인하였다.

Abstract

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.

참고문헌 (15)

  1. H. Lee, "BeaconRider: Opportunistic Sharing of Beacon Air-Time in Densely Deployed WLANs", IEEE 27th International Conference on Network Protocols (ICNP), pp.1~11 (2019)
  2. J. Choi, "Detection of Misconfigured Wi-Fi Tethering in Managed Networks", Applied Sciences, 10(2) (2020)[DOI]
  3. M. Mohammad, "Codecast: Supporting Data Driven In-Network Processing for Low-Power Wireless Sensor Networks", ACM, 2018, 72~83
  4. T. Attia, "Experimental Characterization of LoRaWAN Link Quality", 2019 IEEE Global Communications Conference (GLOBECOM), pp.252~261 (2019)
  5. B. Khan, "A Joint Strategy for Fair and Efficient Energy Usage in WLANs in the Presence of Capture Effect", Electronics, 8(4), pp.386~ (2019)[DOI]
  6. I. Selinis, "Exploiting the Capture Effect on DSC and BSS Color in Dense IEEE 802.11ax Deployments", WNS3 '17: Proceedings of the Workshop on ns-3, pp.47~54 (2017)
  7. M. Zimmerling, "Synchronous Transmissions in Low-Power Wireless: A Survey of Communication Protocols and Network Services", arXiv:2001.08557, ~ (2020)
  8. Justin Manweiler, "Order Matters: Transmission Reordering in Wireless Networks", IEEE, 2012, pp.20(2), 353~366[DOI]
  9. "Qualcomm Atheros communication"[URL]
  10. Xiaoyuan Ma, "Gathering data with packet-in-packet in wireless sensor networks", Computer Networks, 170, pp.107124~ (2020), Elsevier BV[DOI]
  11. F. Safdari, "Experimental Evaluation of Performance Anomaly in Mixed Data Rate IEEE802.11ac Wireless Networks", Proceedings of The 10h IEEE International Conference on Dependable Systems, Services and Technologies, pp.82~87 (2019)
  12. A quantitative measure of fairness and discrimination for resource allocation in shared computer system, vol. 38, "R. Jain", ERL, Digital Equipment Corporation Hudson, ~ (1984)
  13. Young-myoung Kang, "A distributed message in message aware concurrent transmission protocol in IEEE 802.11 WLANs", EURASIP Journal on Wireless Communications and Networking, 2012(1) (2012), Springer Science and Business Media LLC[DOI]
  14. Jose A. Ayala-Romero, "Online Learning for Energy Saving and Interference Coordination in HetNets", IEEE Journal on Selected Areas in Communications, 37(6), pp.1374~1388 (2019), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  15. "CC2420 Spec"[URL]

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