RescueNet: Reinforcement-learning-based communication framework for emergency networking
A new paradigm for emergency networking is envisioned to enable reliable and high data-
rate wireless multimedia communication among public safety agencies in licensed spectrum …
rate wireless multimedia communication among public safety agencies in licensed spectrum …
Coordinating disaster emergency response with heuristic reinforcement learning
A crucial and time-sensitive task when any disaster occurs is to rescue victims and distribute
resources to the right groups and locations. This task is challenging in populated urban …
resources to the right groups and locations. This task is challenging in populated urban …
Coordinating disaster emergency response with heuristic reinforcement learning
Ahstract-A crucial and time-sensitive task when any disaster occurs is to rescue victims and
distribute resources to the right groups and locations. This task is challenging in populated …
distribute resources to the right groups and locations. This task is challenging in populated …
Mobile responder communication networks for public safety
K Balachandran, KC Budka, TP Chu… - IEEE …, 2006 - ieeexplore.ieee.org
This article proposes a paradigm shift from the prevailing public safety model of disparate,
agency-owned and-operated Land Mobile Radio networks to Mobile Responder …
agency-owned and-operated Land Mobile Radio networks to Mobile Responder …
Vehicle-assist resilient information and network system for disaster management
After big disasters, a damaged area can be out of contact because of severe damage of
existing network infrastructures. Meanwhile, high demands for network connections to the …
existing network infrastructures. Meanwhile, high demands for network connections to the …
Reinforcement learning for context awareness and intelligence in wireless networks: Review, new features and open issues
In wireless networks, context awareness and intelligence are capabilities that enable each
host to observe, learn, and respond to its complex and dynamic operating environment in an …
host to observe, learn, and respond to its complex and dynamic operating environment in an …
Multi-UAV assisted network coverage optimization for rescue operations using reinforcement learning
Mobile communication networks could make a significant difference in rescuing affected
people in post-disaster scenarios. However, the existing communication infrastructures tend …
people in post-disaster scenarios. However, the existing communication infrastructures tend …
Safire: A self-organizing architecture for information exchange between first responders
Disaster response requires quick and timely mobilization of relief efforts to save lives and
property. Fundamental to these efforts is a reliable communications infrastructure that allows …
property. Fundamental to these efforts is a reliable communications infrastructure that allows …
Novel consensus-reaching model in the social network environment for large-group emergency decision-making: an approach to managing non-cooperative …
B Yan, Y Wang, W Xia, X Hu - Artificial Intelligence Review, 2023 - Springer
Given the complexity and uncertainty of emergency decision-making for satellite emergency
observation schemes, it often involves the participation of multiple decision makers (DMs) …
observation schemes, it often involves the participation of multiple decision makers (DMs) …
Managing emergencies optimally using a random neural network-based algorithm
Q Han - Future Internet, 2013 - mdpi.com
Emergency rescues require that first responders provide support to evacuate injured and
other civilians who are obstructed by the hazards. In this case, the emergency personnel can …
other civilians who are obstructed by the hazards. In this case, the emergency personnel can …