Joint Anti-Interference and Anti-Collision for ABS-Assisted Medical-Care Sensor Networks

Yixin He, Dawei Wang, Fanghui Huang, Ruonan Zhang, Xin Gu, Jianping Pan

Research output: Contribution to journalConference articlepeer-review

Abstract

Medical-care sensor networks promote the rapid development of telemedicine applications. However, in poverty-struck, disaster-struck or remote areas with limited infrastructures, it is difficult to provide fast and timely medical-care services. To address this challenge, we propose an aerial base station (ABS)-assisted medical-care sensor network, based on which the data transmission problem is investigated by jointly considering the anti-interference and anti-collision requirements. Specifically, in order to reduce the bit error rate caused by electromagnetic interferences, we first design an anti-interference method based on M-ary spread spectrum and multi-carrier modulation. Then, by introducing a multi-frequency sensor identification mechanism, an anti-collision method based on time division multiple access and frequency division multiple access is presented. Finally, simulation results demonstrate that our proposed scheme has significant advantages in anti-collision and anti-interference compared with current schemes. In quad-interference scenarios, the anti-interference performance is improved by 5.3 dB. Moreover, the anti-collision performance is also increased by 17.2%. Furthermore, in scenarios with a large number of sensors, the successful sensor identification percentage is always greater than 50%.

Original languageEnglish
Pages (from-to)4800-4805
Number of pages6
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
DOIs
StatePublished - 2022
Event2022 IEEE Global Communications Conference, GLOBECOM 2022 - Rio de Janeiro, Brazil
Duration: 4 Dec 20228 Dec 2022

Keywords

  • Aerial base station (ABS)
  • anti-collision
  • anti-interference
  • data transmission
  • medical-care sensor networks

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