Sensor networks for emergency response: challenges and opportunities

By Konrad Lorincz, David J. Malan, Thaddeus R. F. Fulford Jones, A. Nawoj, A. Clavel, Victor Shnayder, G. Mainland, Matt Welsh, S. Moulton. IEEE pervasive computing, 2004

1,125 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3835b699162c3422930c33a34a0be08a31e915e0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Computer Vision and Pattern Recognition

In Electrical and Electronic Engineering

Citations in the corpus

Wireless sensor network survey (2008, background): “WSNs have great potential for many applications in scenarios such as military target tracking and surveillance [2,3], natural disaster relief [4], biomedical health monitoring [5,6], and hazardous environment exploration and seismic sensing [7].”
RFID Handbook: Applications, Technology, Security, and Privacy (2008, background): “medicine [3] [4] [5] [6] [7] [8] and is realized as one of the important applications in pervasive computing [ 17 ].”
System architecture of a wireless body area sensor network for ubiquitous health monitoring (2005, background): “The sensors, when outfitted on patients in hospitals or disaster environments, use the ad-hoc networks to transmit vital signs to healthcare givers, facilitating automatic vital sign collection and real-time triage [19,9].”
Data security and privacy in wireless body area networks (2010, background): “In CodeBlue [ 3 ], when there is network coverage, stronger user authentication is achieved by contacting an authority; when no infrastructure exists such as during disaster response, weaker or no authentication is adopted.”
Elderly Fall Detection Systems: A Literature Survey (2020, background): “CodeBlue, a Harvard University research project, also focused on developing wireless sensor networks for medical applications ( Lorincz et al., 2004).”
A survey on wireless body area networks (2011, methodology): “The Tmote sky platform is also used in the CodeBlueproject [102,103] where WBANs are used in rapid disaster response scenarios.”
Mercury: a wearable sensor network platform for high-fidelity motion analysis (2009, background): “In recent years there has been increased interest in body sensor networks for wearable applications as diverse as elder care [12, 46], emergency response [28, 9], studying athletic performance [1, 32], gait analysis [38, 40, 44], and activity classification [18, 33].”
BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network (2016, background): “Hence, in order to achieve all the network security requirements here we propose a lightweight anonymous authentication protocol.”
MoteLab: a wireless sensor network testbed (2005, background): “The Harvard CodeBlue project [13] is developing robust protocols and services for integrating wireless devices into a range of medical care settings.”
MoteTrack: a robust, decentralized approach to RF-based location tracking (2005, background): “cation and status of multiple victims on the scene [9].”
Vital Signs Monitoring and Patient Tracking Over a Wireless Network (2005, methodology): “M. Welsh is with the Division of Eng. and Applied Sciences, Harvard University, Cambridge, MA 02138 USA (e-mail: mdw@eecs.harvard.edu).”