A unified framework for joint sensing and communication in resource constrained mobile edge networks

Li, X., Feng, G., Sun, Y. , Qin, S. and Liu, Y. (2023) A unified framework for joint sensing and communication in resource constrained mobile edge networks. IEEE Transactions on Mobile Computing, 22(10), pp. 5643-5656. (doi: 10.1109/TMC.2022.3188804)

Abstract

Mobile crowd sensing (MCS) is a promising paradigm which leverages sensor-embedded mobile devices to collect and share data. The key challenging issues in designing an MCS system include selecting appropriate users to participate in a specific sensing task and designing efficient data sensing and transmission policies for data aggregation. In mobile edge networks, the limitation on network resources including bandwidth and energy affects the design of MCS significantly. Specifically, the limited resources affect whether and how to select users for a sensing task, and the bandwidth allocated to a user affects its data sensing and transmission policies. Since user selection, bandwidth allocation, data sensing and transmission are closely coupled issues in MCS, we focus on designing a unified framework for joint sensing and communication in this paper, by jointly optimizing the aforementioned four policies under resource constraints. Simulation results show that the proposed unified framework significantly outperforms several baseline solutions without considering wireless link vulnerability and/or resource limitations.

• Item Type: Articles
• Additional Information: This work was supported by National Key Research and Development Program under No. 2020YFB1806804, Guangdong Basic and Applied Basic Research Foundation under No. 2021A1515110599, and ZTE Industry-Academia-Research Cooperation Funds.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Sun, Dr Yao and Feng, Professor Gang
• Authors: Li, X., Feng, G., Sun, Y., Qin, S., and Liu, Y.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Journal Name: IEEE Transactions on Mobile Computing
• Publisher: IEEE
• ISSN: 1536-1233
• ISSN (Online): 1558-0660
• Published Online: 06 July 2022
• Copyright Holders: Copyright © 2022 IEEE
• First Published: First published in IEEE Transactions on Mobile Computing 22(10):5643 - 5656
• Publisher Policy: Reproduced in accordance with the publisher copyright policy