ZigBee Sensor Network for Patient Localization and Air Temperature Monitoring During Emergency Response to Crisis

Chandra-Sekaran, Ashok-Kumar; Nwokafor, Anthony; Johansson, Per; Mueller-Glaser, K. D.; Krueger, Ingolf

doi:10.1109/sensorcomm.2008.67

Cited by 9 publications

(5 citation statements)

References 2 publications

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“…Articles in this review highlighted promising potential solutions to these challenges, such as delay-tolerant networks, 144,330,331 mobile ad-hoc networks 178,273,284,[287][288][289] including those using drones, 110,144 ultra-wideband technology, 63,152 and more. However, they are largely still immature.…”

Section: Discussionmentioning

confidence: 99%

“…Communications and connectivity challenges, such as damaged or absent infrastructure, 35,162,247,255 inadequate bandwidth for data to be transmitted from first responders in the field to the EOC, 35,255 and high call and email volumes, 245,247,254 are extremely common during disasters. Articles in this review highlighted promising potential solutions to these challenges, such as delay-tolerant networks, 144,330,331 mobile ad-hoc networks 178,273,284,[287][288][289] including those using drones, 110,144 ultra-wideband technology, 63,152 and more. However, they are largely still immature.…”

Section: Figurementioning

confidence: 99%

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Technologies Enabling Situational Awareness During Disaster Response: A Systematic Review

Kedia

Ratcliff

O'Connor

et al. 2020

Disaster med. public health prep.

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Situational awareness (SA) is critical to mobilizing a rapid, efficient, and effective response to disasters. Limited by time and resources, response agencies must make decisions about rapidly evolving situations, which requires the collection, analysis, and sharing of actionable information across a complex landscape. Emerging technologies, if appropriately applied, can enhance SA and enable responders to make quicker, more accurate decisions. The aim of this systematic review is to identify technologies that can improve SA and assist decision-making across the United States Government and the domestic and international agencies they support during disaster response operations. A total of 1459 articles and 36 after-action reports were identified during literature searches. Following the removal of duplicates and application of inclusion/exclusion criteria, 302 articles and after-action reports were included in the review. Our findings suggest SA is constrained primarily due to unreliable and significantly delayed communications, time-intensive data analysis and visualization, and a lack of interoperable sensor networks and other capabilities providing data to shared platforms. Many of these challenges could be addressed by existing technologies. Bridging the divide between research and development efforts and the operational needs of response agencies should be prioritized.

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Section: Discussionmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Technologies Enabling Situational Awareness During Disaster Response: A Systematic Review

Kedia

Ratcliff

O'Connor

et al. 2020

Disaster med. public health prep.

View full text Add to dashboard Cite

show abstract

“…In order to obtain pose information, the Ultra-Wideband wireless positioning system is used to obtain the position information of the mobile robot, the electronic compass is used to obtain the heading angle of the mobile robot, the laser radar is used for environmental scanning, and the relative pose information and environmental information are obtained through the Iterative Closest Point (ICP) algorithm. In order to obtain the speed information, the photoelectric wheel is used to obtain the rotation speed of the driving wheels, and the angular velocity and acceleration of the mobile robot are measured by IMU [25].…”

Section: ) Sensor System Designmentioning

confidence: 99%

Robot Formation Control Based on Internet of Things Technology Platform

et al. 2020

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The cooperative control technology of robot formation can sense all kinds of external environment in real time. It is a multi-functional control and management system including visual recognition, task management execution and distribution, behavior decision-making and so on. It can easily adapt to all kinds of harsh environment. In order to meet the efficient response requirements of robot formation control, a real-time transmission system of robot cooperative motion control is built based on the Internet of things platform, which collects and feeds back the trajectory of multiple robots. Through particle swarm optimization deep learning algorithm, more accurate identification, prediction and guidance of the robot's next action. Finally, the simulation of robot formation motion is established by MATLAB software, which verifies the feasibility of particle swarm optimization deep learning neural network algorithm under the Internet of things technology. Compared with the traditional robot formation control method, the optimized control method has faster convergence speed, smaller error and more accurate position, which provides method guidance for the accuracy and efficiency of robot formation control technology. INDEX TERMS Robot, formation cooperative control, Internet of things, particle swarm optimization, deep learning.

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“…They used Optimized Link State Routing (OLSR) and epidemic routing protocols to achieve communication between source and destination. In [30], the authors propose a location-aware wireless mesh network to assist ER in providing medical support. Zigbee technology that operates in 2.4 GHz band was used as the physical layer.…”

Section: Related Workmentioning

confidence: 99%

HELPER: Heterogeneous Efficient Low Power Radio for enabling ad hoc emergency public safety networks

et al. 2019

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Natural and man-made disasters have been causing destruction and distress to humanity all over the world. In these scenarios, communication infrastructures are the most affected entities making the rescue and emergency response operations extremely challenging. This invokes a need to equip the affected people and the emergency responders with the ability to rapidly set up and use independent means of communication. Therefore, in this work, we present a complete endto-end solution that can connect survivors of a disaster with each other and the authorities using a completely self-sufficient ad hoc network that can be setup rapidly. Accordingly, we develop a Heterogeneous Efficient Low Power Radio (HELPER) that acts as a WiFi (Wireless Fidelity) access point for end-users to connect using website application developed by us. These HELPERs then coordinate with each other to form a LoRa based ad hoc network. To this end, we propose a novel cross-layer optimized distributed energy-efficient routing (SEEK) algorithm that aims to maximize the network lifetime. This aspect is critical especially in energy constrained scenarios after a disaster.To prove the feasibility of the solutions, we prototype the HELPER using WiFi enabled Raspberry Pi and LoRa module that is configured to run using Li-ion batteries. We implement the required cross-layer protocol stack along with the SEEK routing algorithm and develop a website application that an end-user can avail to connect using any device such as smartphones, tablets, laptops etc. We have conducted demonstrations to establish the feasibility of exchanging of text messages over the HELPER network, live map updates, ability to send distress messages (like 9-1-1 calls) to authorities. In the context of authorities, we have shown how they can leverage this technology to remotely monitor the connectivity of the affected area, alert users of imminent dangers and share resource (water, food, first aid) availability information. We have also conducted an extensive numerical evaluation of SEEK algorithm against a greedy geographical routing algorithm using the HELPER testbed. Results showed up to 53% improvement in network lifetime and up to 28% improvement in throughput. Overall, we hope this technology will become instrumental in improving the efficiency and effectiveness of public safety activities.

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ZigBee Sensor Network for Patient Localization and Air Temperature Monitoring During Emergency Response to Crisis

Cited by 9 publications

References 2 publications

Technologies Enabling Situational Awareness During Disaster Response: A Systematic Review

Technologies Enabling Situational Awareness During Disaster Response: A Systematic Review

Robot Formation Control Based on Internet of Things Technology Platform

HELPER: Heterogeneous Efficient Low Power Radio for enabling ad hoc emergency public safety networks

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