The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Sensor Networks for Emergency Response: Challenges and Opportunities
Abstract
Sensor networks, a new class of devices has the potential to revolutionize the capture, processing, and communication of critical data for use by first responders. CodeBlue integrates sensor nodes and other wireless devices into a disaster response setting and provides facilities for ad hoc network formation, resource naming and discovery, security, and in-network aggregation of sensor-produced data. We designed CodeBlue for rapidly changing, critical care environments. To test it, we developed two wireless vital sign monitors and a PDA-based triage application for first responders. Additionally, we developed MoteTrack, a robust radio frequency (RF)-based localization system, which lets rescuers determine their location within a building and track patients. Although much of our work on CodeBlue is preliminary, our initial experience with medical care sensor networks raised many exciting opportunities and challenges.
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Cites
RADAR: an in-building RF-based user location and tracking system
Bahl, P., & Padmanabhan, V. N. (2002) · Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064) · doi:10.1109/infcom.2000.832252 · Cited by 8,380
Cited by
Wearable Chemical Sensors: Present Challenges and Future Prospects
Bandodkar, A. J., Jeerapan, I., & Wang, J. (2016) · ACS Sensors · doi:10.1021/acssensors.6b00250 · Cited by 778
Elderly Fall Detection Systems: A Literature Survey
Wang, X., Ellul, J., & Azzopardi, G. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.00071 · Cited by 380
A Survey on Security Threats and Countermeasures in Internet of Medical Things (IoMT)
Papaioannou, M., Karageorgou, M., Mantas, G., Sucasas, V., Essop, I., Rodriguez, J., & Lymberopoulos, D. (2022) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4049 · Cited by 245
A Soldier Health Monitoring System for Military Applications
Lim, H. B., Ma, D., Wang, B., Kalbarczyk, Z., Iyer, R. K., & Watkin, K. L. (2010) · 2010 International Conference on Body Sensor Networks · doi:10.1109/bsn.2010.58 · Cited by 89
Real-time analysis of physiological data to support medical applications
Apiletti, D., Baralis, E., Bruno, G., & Cerquitelli, T. (2009) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2008.2010702 · Cited by 87
Metadata
- Authors
- Lorincz, K., Malan, D. J., Fulford-Jones, T. R. F., Nawoj, A., Clavel, A., Shnayder, V., Mainland, G., Welsh, M., & Moulton, S.
- Venue
- IEEE Pervasive Computing
- Published
- 2004-10
- Volume
- 3
- Issue
- 4
- Pages
- 16-23
- ISSN
- 1536-1268 (ISSN-L)
- OpenAlex
- W2147035977
- Cited by
- 1,034
- References
- 1
- FWCI
- 54.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lorincz, K., Malan, D. J., Fulford-Jones, T. R. F., Nawoj, A., Clavel, A., Shnayder, V., Mainland, G., Welsh, M., & Moulton, S. (2004). Sensor Networks for Emergency Response: Challenges and Opportunities. IEEE Pervasive Computing. https://doi.org/10.1109/mprv.2004.18
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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