scholarly journals The Internet of Cooperative Agents Architecture (X-IoCA) for Robots, Hybrid Sensor Networks, and MEC Centers in Complex Environments: A Search and Rescue Case Study

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7843
Author(s):  
Juan Bravo-Arrabal ◽  
Manuel Toscano-Moreno ◽  
J. J. Fernandez-Lozano ◽  
Anthony Mandow ◽  
Jose Antonio Gomez-Ruiz ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Disaster Response ◽  
Lessons Learned ◽  
Search And Rescue ◽  
Multi Agent Systems ◽  
Feedback Information ◽  
Communication Architecture ◽  
Cooperative Agents ◽  
Multi Access ◽  
Path Planner

Cloud robotics and advanced communications can foster a step-change in cooperative robots and hybrid wireless sensor networks (H-WSN) for demanding environments (e.g., disaster response, mining, demolition, and nuclear sites) by enabling the timely sharing of data and computational resources between robot and human teams. However, the operational complexity of such multi-agent systems requires defining effective architectures, coping with implementation details, and testing in realistic deployments. This article proposes X-IoCA, an Internet of robotic things (IoRT) and communication architecture consisting of a hybrid and heterogeneous network of wireless transceivers (H2WTN), based on LoRa and BLE technologies, and a robot operating system (ROS) network. The IoRT is connected to a feedback information system (FIS) distributed among multi-access edge computing (MEC) centers. Furthermore, we present SAR-IoCA, an implementation of the architecture for search and rescue (SAR) integrated into a 5G network. The FIS for this application consists of an SAR-FIS (including a path planner for UGVs considering risks detected by a LoRa H-WSN) and an ROS-FIS (for real-time monitoring and processing of information published throughout the ROS network). Moreover, we discuss lessons learned from using SAR-IoCA in a realistic exercise where three UGVs, a UAV, and responders collaborated to rescue victims from a tunnel accessible through rough terrain.

Pandemic-Proofing Your Library: Disaster Response and Lessons Learned from COVID-19

2021 ◽  
Vol 40 (1) ◽  
pp. 67-78
Author(s):  
Jessica A. Koos ◽  
Laurel Scheinfeld ◽  
Christopher Larson
Keyword(s):  
Disaster Response ◽  
Lessons Learned

scholarly journals Responding to unforeseen disasters in a large health system

2020 ◽  
Author(s):  
Ryan J Hannan ◽  
Margaret K Lundholm ◽  
Dennis Brierton ◽  
Noelle R M Chapman
Keyword(s):  
Supply Chain ◽  
Health System ◽  
Disaster Response ◽  
Well Being ◽  
Lessons Learned ◽  
Strategic Decision ◽  
Pharmacy Services ◽  
Efficient System ◽  
Team Members

Abstract Purpose To describe how health systems may respond to sudden changes in operations by leveraging existing resources and to share one organization’s experience responding to the coronavirus disease (COVID-19) pandemic. Summary In a health system based in Illinois and Wisconsin, pharmacy services are provided by a single, integrated department responsible for all aspects of pharmaceutical care within the organization. Hospital, retail, ambulatory care, and population health services are all managed under one leadership team. All pertinent ancillary services are also managed within the department, including informatics, supply chain, and drug policy. During the COVID-19 pandemic, the pharmacy services leadership has successfully managed volume and capacity challenges by redirecting resources to where they are needed. A disaster response framework based on Federal Emergency Management Agency guidance was put in place, and change management principles were used to rapidly operationalize change. Components of the nimble response have included quickly increasing capacity, thoughtful and timely communication to all team members, strategic decision making with available data, creating an agile pool of labor, and maintaining an efficient system supply chain. Well-being and resilience are emphasized alongside reflection on lessons learned. Some changes made in the urgent response to the pandemic are being considered for long-term implementation. Conclusion Organizations have the potential to respond to almost any situation if they are integrated and teams work together to build flexibility. The keys to success are thoughtful maximization of existing resources and strong communication.

scholarly journals Communication architecture of an early warning system

2010 ◽  
Vol 10 (11) ◽  
pp. 2215-2228 ◽  
Author(s):  
M. Angermann ◽  
M. Guenther ◽  
K. Wendlandt
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Satellite Communication ◽  
Warning System ◽  
Early Warning Systems ◽  
Lessons Learned ◽  
Warning Systems ◽  
Communication Architecture ◽  
Design And Implementation ◽  
Communication Links

Abstract. This article discusses aspects of communication architecture for early warning systems (EWS) in general and gives details of the specific communication architecture of an early warning system against tsunamis. While its sensors are the "eyes and ears" of a warning system and enable the system to sense physical effects, its communication links and terminals are its "nerves and mouth" which transport measurements and estimates within the system and eventually warnings towards the affected population. Designing the communication architecture of an EWS against tsunamis is particularly challenging. Its sensors are typically very heterogeneous and spread several thousand kilometers apart. They are often located in remote areas and belong to different organizations. Similarly, the geographic spread of the potentially affected population is wide. Moreover, a failure to deliver a warning has fatal consequences. Yet, the communication infrastructure is likely to be affected by the disaster itself. Based on an analysis of the criticality, vulnerability and availability of communication means, we describe the design and implementation of a communication system that employs both terrestrial and satellite communication links. We believe that many of the issues we encountered during our work in the GITEWS project (German Indonesian Tsunami Early Warning System, Rudloff et al., 2009) on the design and implementation communication architecture are also relevant for other types of warning systems. With this article, we intend to share our insights and lessons learned.

A Clustering Approach Based on Cooperative Agents to Improve Decision Support in ERP

2019 ◽  
pp. 1-18
Author(s):  
Nadjib Mesbahi ◽  
Okba Kazar ◽  
Saber Benharzallah ◽  
Merouane Zoubeidi ◽  
Djamil Rezki
Keyword(s):  
Decision Support ◽  
Intelligent Systems ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent System ◽  
Cooperative Agents ◽  
Distributed Problem Solving ◽  
Multi Agent ◽  
Complete Set ◽  
Clustering Approach

Multi-agent systems (MAS) are a powerful technology for the design and implementation of autonomous intelligent systems that can handle distributed problem solving in a complex environment. This technology has played an important role in the development of data mining systems in the last decade, the purpose of which is to promote the extraction of information and knowledge from a large database and to make these systems more scalable. In this chapter, the authors present a clustering system based on cooperative agents through a centralized and common ERP database to improve decision support in ERP systems. To achieve this, they use multi-agent system paradigm to distribute the complexity of k-means algorithm in several autonomous entities called agents, whose goal is to group records or observations on similar objects classes. This will help business decision makers to make good decisions and provide a very good response time by the use of the multi-agent system. To implement the proposed architecture, it is more convenient to use the JADE platform while providing a complete set of services and have agents comply with the specifications FIPA.

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