Abstract
Reliability, power consumption, and latency are the three main performance indicators of wireless sensor networks. Time slotted channel hopping (TSCH) is a promising technique introduced in the IEEE 802.15.4 standard that performs some steps ahead in the direction of the final dream to meet all the previous requirements at the same time. In this article, a simple and effective mathematical model is presented for TSCH that, starting from measurements performed on a real testbed, permits to characterize both the network and the surrounding environment. To better characterize power consumption, an experimental measurement campaign was purposely performed on OpenMote B devices. The model, which was checked against a real 6TiSCH implementation, can be employed to predict network behaviour when configuration parameters are varied, in such a way to satisfy different application contexts. Results show that, when one of the three above indices is privileged, unavoidably there is a worsening of the others.
Highlights
Wireless sensor networks (WSN) [1] are becoming more and more one of the core enabling technologies for the Internet of Things (IoT)
The analysis presented in this article refers to time slotted channel hopping (TSCH), and experimental results were obtained on motes complying to the IPv6 over the TSCH mode of IEEE 802.15.4e (6TiSCH) protocol [24]–[26]
PRACTICAL APPLICATION CONTEXTS The results provided by the network model were found to be comparable with measurements obtained from real devices
Summary
Wireless sensor networks (WSN) [1] are becoming more and more one of the core enabling technologies for the Internet of Things (IoT). In the case of a multi-level network, it ‘‘aggregates’’ the failure probabilities on all the links that make up the path between the source and the destination of the request/response exchange, and provides a simple yet effective model of the overall behaviour of the wireless spectrum in the place where the WSN is deployed. As said before, this approximation is only acceptable if the error rates on the links composing the path do not differ significantly. Since disturbance and interference on air do not depend in any way on queuing, can be reliably estimated by setting Tapp for measurements long enough, so as to prevent buffer overrun conditions
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