Performance analysis of iot networks with mobile data collectors

Yajun Ma, Hongguang Sun, Shuqin Li, Xijun Wang, Tony Q.S. Quek

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

fficient data collection has been treated as a key challenge especially in the sparsely deployed Internet of Things (IoT) networks. Compared with the conventional data collection methods using static sinks, mobile data collectors (MDCs) are considered as a more efficient approach where MDCs transfer data from sensors to access points (APs) by roaming over different geographical regions. In this work, we propose an analytical framework to study the coverage performance of IoT with MDCs where MDCs follow a simple random waypoint (SRWP) mobility model. To characterize the interference distribution of the whole network, we first derive exact expressions for the average contact time (CT) and inter-contact time (ICT) between a typical sensor and its associated MDC. Then we determine the active probability of the typical sensor by using the derived CT and ICT. The coverage probability is finally derived by taking into account the communication range of sensors, velocity of MDCs, density of sensors and MDCs, and the SINR threshold. Our results reveal the fact that the velocity of MDCs has little effect on coverage probability while a higher velocity can significantly lower the end-to-end delay.

原文English
主出版物標題2021 IEEE Wireless Communications and Networking Conference, WCNC 2021
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728195056
DOIs
出版狀態Published - 2021
事件2021 IEEE Wireless Communications and Networking Conference, WCNC 2021 - Nanjing, China
持續時間: 2021 3月 292021 4月 1

出版系列

名字IEEE Wireless Communications and Networking Conference, WCNC
2021-March
ISSN(列印)1525-3511

Conference

Conference2021 IEEE Wireless Communications and Networking Conference, WCNC 2021
國家/地區China
城市Nanjing
期間21-03-2921-04-01

All Science Journal Classification (ASJC) codes

  • 一般工程

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