Lessons Learned from Large-scale Dense IEEE802.15.4 Connectivity Traces

Abstract : Time Synchronized Channel Hopping (TSCH) is a technique known to efficiently combat external interference and multi-path fading. TSCH is at the heart of industrial low-power wireless standards such as WirelessHART and IEEE802.15.4e, and the focus of the current standardization activities at IETF 6TiSCH. In a TSCH network, communicating nodes send successive link-layer frames at different frequencies. The performance of such frequency-agile communication is not well understood. In this paper, we propose an empirical approach. We conduct an experiment to record the connectivity between 350 nodes in a typical office environment, simultaneously on each of the 16 frequencies at 2.4 GHz. Analysis reveals the impact of WiFi interference on the reliability of the IEEE802.15.4 wireless links: even when the WiFi network sits idle, IEEE802.11 beaconing causes a significant number of links to drop from 90% to 70-80% packet delivery ratio. It also reveals the impact of multi-path fading, showing how moving a pair of nodes can cause their link to go from perfect to non-existing. Results show that the quality of each link depends heavily on the communication frequency. The paper shows the effectiveness of channel hopping: by simply changing the communication frequency between successive transmissions, less nodes are required to cover a geographical area. The paper discusses the importance of the frequency to retransmit on. The 5-hour connectivity trace reveals a wealth of information. This paper is only a first step towards a much larger dataset collected over a representative number of real-world deployments.
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https://hal.inria.fr/hal-01208425
Contributor : Thomas Watteyne <>
Submitted on : Friday, October 2, 2015 - 3:32:16 PM
Last modification on : Tuesday, February 5, 2019 - 2:38:01 PM

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Thomas Watteyne, Cédric Adjih, Xavier Vilajosana. Lessons Learned from Large-scale Dense IEEE802.15.4 Connectivity Traces. CASE 2015 - IEEE International Conference on Automation Science and Engineering, Aug 2015, Gothenburg, Sweden. ⟨10.1109/CoASE.2015.7294053⟩. ⟨hal-01208425⟩

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