A Generalized Framework for Joint Dynamic Optimal RF Interface Setting and Next-Hop Selection in IoT Networks With Similar Requests
| Autor: | Monireh Allah Gholi Ghasri, Ali Mohammad Afshin Hemmatyar |
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| Rok vydání: | 2022 |
| Předmět: |
Computer Science - Networking and Internet Architecture
Networking and Internet Architecture (cs.NI) Signal Processing (eess.SP) FOS: Computer and information sciences FOS: Electrical engineering electronic engineering information engineering General Medicine Electrical Engineering and Systems Science - Signal Processing |
| Zdroj: | IEEE Networking Letters. 4:68-72 |
| ISSN: | 2576-3156 |
| DOI: | 10.1109/lnet.2022.3163679 |
| Popis: | Many applications which run on the Internet-of-Things machines require similar bandwidths. These machines are equipped with multiple Radio Frequency (RF) interfaces for machine-to-machine or machine-to-Base Station(BS) communications. Joint dynamic optimal RF interface setting and next-hop selection in data transmission can maximize the network data rate. For this purpose, we propose a generalized framework for simultaneous selection of these components according to the required bandwidth of machines. This framework is suitable for networks with multiple BSs and sources with similar bandwidth requests. Simulation results show that using the proposed framework, the average data rate of network sources increases up to 117%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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