Abstract
In this paper, we propose GeoSaW, a delay-tolerant routing protocol for Airborne Networks in Search and Rescue scenarios. The protocol exploits the geographical information of UAVs to make appropriate message forwarding decisions. More precisely, the information about the future UAV’s motion path is exploited to select the best UAV carrying the message towards the destination. Simulation results show that the proposed solution outperforms the classic DTN routing protocols in terms of several performance metrics.
Highlights
Unmanned Aerial Vehicles (UAVs) have frequently been coupled with the Delay Tolerant Network (DTN) paradigm, supporting communication and service-delivery in scenarios with intermittent connectivity
UAVs as DTN nodes used for carrying data from and to isolated buildings is considered in Ref. [7], where a smart city is the context scenario
Routing protocols for DTNs are classified into two main categories: replication-based protocols, which ensure better delivery ratios by allowing the packets to be duplicated in the network, and forwarding-based protocols, which never replicate the packets
Summary
Unmanned Aerial Vehicles (UAVs) have frequently been coupled with the Delay Tolerant Network (DTN) paradigm, supporting communication and service-delivery in scenarios with intermittent connectivity. Other routing techniques rely on diverse information to correctly forward the messages among the nodes in the network Some of these are called context-aware protocols, since they use information about the network to take forwarding decisions, like the nodes’ location [4]. The UAVs, through hello messages, could communicate their scheduled plan Thanks to this information, it is possible to devise a routing protocol based on reasonable assumptions and predictions of node encounters, in order to calculate the Time To Intercept (TTI) of a certain location, which could be the base station.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.