Two Time-Scale Resource Management for Green Internet of Things Networks
| Autor: | Liang She, Ju Ren, Yaoxue Zhang, Ying Qiao, Deyu Zhang, Ruyin Shen |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Channel allocation schemes
Computer Networks and Communications Computer science Distributed computing Node (networking) 020206 networking & telecommunications 020302 automobile design & engineering 02 engineering and technology Computer Science Applications Network utility 0203 mechanical engineering Hardware and Architecture Signal Processing 0202 electrical engineering electronic engineering information engineering Resource management Energy (signal processing) Information Systems Data transmission |
| Zdroj: | IEEE Internet of Things Journal. 6:545-556 |
| ISSN: | 2372-2541 |
| Popis: | It is expected that billions of objects will be connected through sensors and embedded devices for pervasive intelligence in the coming era of Internet of Things (IoT). However, the performance of such ubiquitous interconnection highly depends on the supply of network resources in terms of both energy and spectrum. Librating IoT devices from the resource deficiency, we consider a green IoT network in which the IoT devices transmit data to a fusion node over multihop relaying. To achieve sustainable operation, IoT devices obtain energy from both ambient energy sources and power grid, while opportunistically access the licensed spectrum for data transmission. We formulate a stochastic problem to optimize the network utility minus the cost on on-grid energy purchasing. The problem formulation takes into account the different granularity in the changing of harvested energy, power price, and primary user activities. To address the problem, we propose a Lyapunov-based framework to decompose the problem into different time scales, based on which an online two time-scale resource allocation algorithm, is developed which determines the harvested and purchased energy in a large time scale, and the channel allocation and data collection in a small time scale. Furthermore, we analyze the required data buffer and energy buffer to support the proposed algorithm. Extensive simulation results validate the correctness of the analysis and the efficiency of the proposed algorithm. |
| Databáze: | OpenAIRE |
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