Improving Disaster Communication with MP-NMSA: Message-Prioritized DTN Routing Based on Node Mobility and Social Attributes

In this paper, we propose a delay-tolerant network (DTN) based message transmission algorithm, Message Prioritized DTN Routing Based on Node Mobility and Social Attributes (MP-NMSA), for disaster scenarios in which traditional communication devices and wireless devices are damaged, resulting in limited conventional communication technologies and wireless bandwidth congestion. First, machine learning techniques are utilized to process messages in disaster scenarios to achieve transmission prioritization of messages. Then, a mobile self-organizing DTN network is established to achieve message delivery in disaster environments based on the mobility and other social attributes of nodes. The experimental results show that MP-NMSA significantly improves delivery probability, average delay, and network overhead compared with traditional algorithms.