title: GDTN: Genome-Based Delay Tolerant Network Formation in Heterogeneous 5G Using Inter-UA Collaboration.
abstract: With a more Internet-savvy and sophisticated user base, there are more demands for interactive applications and services. However, it is a challenge for existing radio access networks (e.g. 3G and 4G) to cope with the increasingly demanding requirements such as higher data rates and wider coverage area. One potential solution is the inter-collaborative deployment of multiple radio devices in a 5G setting designed to meet exacting user demands, and facilitate the high data rate requirements in the underlying networks. These heterogeneous 5G networks can readily resolve the data rate and coverage challenges. Networks established using the hybridization of existing networks have diverse military and civilian applications. However, there are inherent limitations in such networks such as irregular breakdown, node failures, and halts during speed transmissions. In recent years, there have been attempts to integrate heterogeneous 5G networks with existing ad hoc networks to provide a robust solution for delay-tolerant transmissions in the form of packet switched networks. However, continuous connectivity is still required in these networks, in order to efficiently regulate the flow to allow the formation of a robust network. Therefore, in this paper, we present a novel network formation consisting of nodes from different network maneuvered by Unmanned Aircraft (UA). The proposed model utilizes the features of a biological aspect of genomes and forms a delay tolerant network with existing network models. This allows us to provide continuous and robust connectivity. We then demonstrate that the proposed network model has an efficient data delivery, lower overheads and lesser delays with high convergence rate in comparison to existing approaches, based on evaluations in both real-time testbed and simulation environment.
authors.affiliation: Department of Information Security Engineering, Soonchunhyang University, Asan-si 31538, Republic of Korea.
authors.forename: Ilsun
authors.initials: I
authors.lastname: You
authors.affiliation: Computer Science and Engineering Department, Thapar University, Patiala, Punjab, India, 147004.
authors.forename: Vishal
authors.identifier: http://orcid.org/0000-0001-7470-6506
authors.initials: V
authors.lastname: Sharma
authors.affiliation: School of Computer Science, University of Oklahoma, Norman, OK, United States of America.
authors.forename: Mohammed
authors.initials: M
authors.lastname: Atiquzzaman
authors.affiliation: Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX 78249 United States of America.
authors.forename: Kim-Kwang Raymond
authors.initials: KR
authors.lastname: Choo
mesh_terms: D000401:Aircraft; D000465:Algorithms; D003195:Computer Communication Networks / Q000295:instrumentation*; D003198:Computer Simulation; D003299:Cooperative Behavior; D004777:Environment; D015894:Genome, Human; D006801:Humans; D006824:Hybridization, Genetic; D020407:Internet; D015233:Models, Statistical; D059015:Wireless Technology / Q000295:instrumentation