دانلود رایگان مقاله انگلیسی DIPS: زمان بندی دوگانه دو طرفه برای ارتباطات چند منظوره انرژی موثر در اینترنت اشیا - IEEE 2018

Abstract

The future Internet of Things (IoT) will enable Internet connectivity for a vast amount of battery-powered devices, which usually need to communicate with each other or to some remote gateways through multi-hop communications. Although ZigBee has become a widely-used communication technology in IoT, Wi-Fi, on the other hand, has its unique advantages such as high throughput and native IP compatibility, despite its potentially higher energy consumption. With the development of IoT, more and more IoT devices are equipped with multiple radio interfaces, such as both Wi-Fi and ZigBee. Inspired by this, we propose a Dual-Interface Dual-Pipeline Scheduling (DIPS) scheme, which leverages an activation pipeline mainly constructed by low-power ZigBee interfaces to wake up a data pipeline constructed by high-power Wi-Fi interfaces on demand, towards enabling multi-hop data delivery in IoT. The objective is to minimize network energy consumption while satisfying certain end-to-end delay requirements. Extensive simulations and prototype-based experiments have been conducted. The results show that the energy consumption of DIPS is 96.5% and 92.8% lower than that of the IEEE 802.11’s standard power saving scheme and a state-of-the-art pipeline-based scheme in moderate traffic scenarios, respectively.

VIII. CONCLUSIONS AND FUTURE WORK

Towards enabling Wi-Fi for multi-hop communications in IoT, this paper proposes a dual-interface dual-pipeline scheduling scheme. The core idea is to leverage low-power ZigBee interface to construct pipelines to activate and schedule highpower Wi-Fi interface for fast pipelined data delivery. Extensive simulations and prototype experiments have verified the performance advantages of the proposed DIPS scheme. To apply DIPS to a wider range of IoT applications, we plan to conduct further study to improve the adaptability and the reliability of our proposed schemes. For example, (i) how to adjust AP interval to allow our system to automatically adapt to IoT applications with varying delay requirements while retaining high energy efficiency, and (ii) how to schedule EXT in order to achieve a fair utilization of different IoT devices and thus improve the sustainability of flow/network would be interesting future directions.