Wireless wearable sensors have developed rapidly in recent years, primarily driven by e-health, fitness and wellness applications. The technological evolution of low power microprocessors is enabling to process data locally, saving energy and bandwidth and increasing the overall throughput of the wireless network. This paper presents a new general-purpose Inertial Measure Unit that exploits a dual-core architecture. A core offers processing capability, and the other one is a radio interface IEEE 802.15.4. We propose the whole system and a protocol to maximize the throughput, reduce the packet loss and improve the robustness of wireless sensor nodes communication. Experimental results show that our solution offers better data throughput for configurations below 10 nodes compared to widely used commercial wireless sensor nodes. The paper also presents an experimental evaluation of scalability (up to 10 nodes) and power consumption of the proposed solution.

NETWIS: A Scalable and Robust Body Sensor Network for Biomedical Application / Ballerini, M.; Magno, M.; Brunelli, D.; Cornai, G.; Benini, L.. - ELETTRONICO. - (2019), pp. 118-123. (Intervento presentato al convegno 8th International Workshop on Advances in Sensors and Interfaces, IWASI 2019 tenutosi a Otranto (IT) nel 13-14 giugno 2019) [10.1109/IWASI.2019.8791326].

NETWIS: A Scalable and Robust Body Sensor Network for Biomedical Application

Brunelli D.;
2019-01-01

Abstract

Wireless wearable sensors have developed rapidly in recent years, primarily driven by e-health, fitness and wellness applications. The technological evolution of low power microprocessors is enabling to process data locally, saving energy and bandwidth and increasing the overall throughput of the wireless network. This paper presents a new general-purpose Inertial Measure Unit that exploits a dual-core architecture. A core offers processing capability, and the other one is a radio interface IEEE 802.15.4. We propose the whole system and a protocol to maximize the throughput, reduce the packet loss and improve the robustness of wireless sensor nodes communication. Experimental results show that our solution offers better data throughput for configurations below 10 nodes compared to widely used commercial wireless sensor nodes. The paper also presents an experimental evaluation of scalability (up to 10 nodes) and power consumption of the proposed solution.
2019
Proceedings - 2019 8th International Workshop on Advances in Sensors and Interfaces, IWASI 2019
AA.VV.
New York, NY, USA
Institute of Electrical and Electronics Engineers Inc.
978-1-7281-0557-4
Ballerini, M.; Magno, M.; Brunelli, D.; Cornai, G.; Benini, L.
NETWIS: A Scalable and Robust Body Sensor Network for Biomedical Application / Ballerini, M.; Magno, M.; Brunelli, D.; Cornai, G.; Benini, L.. - ELETTRONICO. - (2019), pp. 118-123. (Intervento presentato al convegno 8th International Workshop on Advances in Sensors and Interfaces, IWASI 2019 tenutosi a Otranto (IT) nel 13-14 giugno 2019) [10.1109/IWASI.2019.8791326].
File in questo prodotto:
File Dimensione Formato  
08791326.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 3.09 MB
Formato Adobe PDF
3.09 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/243023
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
  • OpenAlex ND
social impact