Towards the fast and robust optimal design of wireless body area networks
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A wireless body area sensor network (WBSN) is designed based on one or more sinks to enable biosensors to first transmit data to these sinks for storage, processing, and transmission to another network.
“In this context, a wireless body area sensor network (WBSN) is designed based on one or more sinks to enable biosensors to first transmit the data to these sinks for storage, processing, and transmission to another network [25].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [25]
Managing energy consumption in wearable sensor networks is a critical challenge due to often non-replaceable or rechargeable sensor batteries.
“Another critical challenge in wearable sensor networks is managing their energy consumption, particularly when using wireless sensor networks (WSN), due to the often non-replaceable or rechargeable nature of sensor batteries.”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [25]
Traffic uncertainty poses a challenge when using multiple sensors by variability in data generation rates from body sensors.
“In particular, when using multiple sensors, traffic uncertainty poses a challenge by the variability in data generation rates from the body sensors [25].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [25]
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The emergence of AI-based wearable sensors for digital health technology: a review
Shajari, S., Kuruvinashetti, K., Komeili, A., & Sundararaj, U. (2023) · Sensors · doi:10.3390/s23239498 · Cited by 535 · see citing works
- Authors
- D’Andreagiovanni, F., & Nardin, A.
- Affiliations
- Zuse Institute Berlin (DE)
- Roma Tre University (IT)
- Corresponding author
- D’Andreagiovanni, Fabio
- Venue
- Applied Soft Computing
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 37
- Pages
- 971-982
- ISSN
- 1568-4946 (ISSN-L)
- OpenAlex
- W2011085015
- Cited by
- 73
- References
- 37
- Citations by year
- 2025: 5 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 1 · 2020: 6 · 2019: 8 · 2018: 12 · 2017: 26 · 2016: 6
- FWCI
- 7.30
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Applied Soft Computing (publishedVersion)
- arXiv (Cornell University) (publishedVersion)
- HAL (submittedVersion, other-oa)
- IRIS UNIMORE (University of Modena and Reggio Emilia) (submittedVersion, cc-by-nc-nd)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Physical Sciences › Computer Science › Computer Networks and Communications › Energy Efficient Wireless Sensor Networks
- Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Keywords
- wireless body area networks, robust optimization, traffic uncertainty, energy consumption, remote patient monitoring, wireless sensor networks, linear programming relaxation, large neighborhood search, healthcare monitoring
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