Resource-Aware IoT Control: Saving Communication Through Predictive Triggering

doi:10.1109/JIOT.2019.2894628

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Resource-Aware IoT Control: Saving Communication Through Predictive Triggering

2019-06-01

Sebastian Trimpe *

Dominik Baumann

DOI：10.1109/JIOT.2019.2894628

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Abstract

En 中文

The Internet of Things (IoT) interconnects multiple physical devices in large-scale networks. When the things coordinate decisions and act collectively on shared information, feedback is introduced between them. Multiple feedback loops are thus closed over a shared, general-purpose network. Traditional feedback control is unsuitable for design of IoT control because it relies on high-rate periodic communication and is ignorant of the shared network resource. Therefore, recent event-based estimation methods are applied herein for resource-aware IoT control allowing agents to decide online whether communication with other agents is needed, or not. While this can reduce network traffic significantly, a severe limitation of typical event-based approaches is the need for instantaneous triggering decisions that leave no time to reallocate freed resources (e.g., communication slots), which hence remain unused. To address this problem, novel predictive and self triggering protocols are proposed herein. From a unified Bayesian decision framework, two schemes are developed: 1) self triggers that predict, at the current triggering instant, the next one and 2) predictive triggers that check at every time step, whether communication will be needed at a given prediction horizon. The suitability of these triggers for feedback control is demonstrated in hardware experiments on a cart-pole, and scalability is discussed with a multivehicle simulation.

Keywords:

Distributed control

event-based state estimation

feedback control

Internet of Things (IoT)

predictive triggering

resource-aware control

self triggering

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