Information-Centric Robotic Ad Hoc Networking-Based Continuous Data Routing and Delivery for Disaster Scenes
Xiaonan Wang, Yimin Lu
Abstract
In post-disaster areas where infrastructures are unavailable, mobile robots can construct an infrastructure-free Robotic Mobile Ad hoc NETworking (RMANET) to continuously provide real-time data related to disaster scenes for timely monitoring. The traditional host-centric communication model employed by MANET cannot work for continuous delivery of real-time location-related contents for disaster scenes because a node can only provide data related to its location rather than a target location. Hence, we are motivated to leverage the Information-Centric Networking (ICN) to deliver continuous data related to different target locations. Based on the idea, we propose an information-centric RMANET continuous data routing and delivery framework, aiming to continuously and rapidly access real-time post-disaster data. The solution leverages robot attributes to explore multi-routes towards different target locations, and reuses the best route to continuously forward location-related data in unicast to consumers. The experimental results verify the feasibility and advances of the proposal.