Backbone formation in military multi-layer ad hoc networks using complex network concepts
| dc.creator | Papakostas D., Basaras P., Katsaros D., Tassiulas L. | en |
| dc.date.accessioned | 2023-01-31T09:43:38Z | |
| dc.date.available | 2023-01-31T09:43:38Z | |
| dc.date.issued | 2016 | |
| dc.identifier | 10.1109/MILCOM.2016.7795434 | |
| dc.identifier.isbn | 9781509037810 | |
| dc.identifier.uri | http://hdl.handle.net/11615/77740 | |
| dc.description.abstract | Modern battlefields are characterized by increasing deployment of ad hoc communications among allied entities. These networks can be seen as a complex multi-layer ad hoc network, where each layer may be an independently acting soldiers' group, a group of drones, helicopters, vehicles and so on. Building a backbone network for these environments, which will guarantee efficient communication among all nodes (i.e., network-wide broadcasting) is of fundamental significance for the dissemination of information. In this article we generalize the concept of connected dominating sets for multi-layer networks and use them as the network backbone. We propose efficient methods to identify nodes that are efficient cross-layer spreaders along with a distributed algorithm to build the connected dominating set. Due to the lack of competing methods in the literature, we compare the proposed methods against some baseline methods and investigate the performance of all algorithms for a variety of multi-layer network topologies, illustrating their advantages and disadvantages; the result of the evaluation identifies the clPCI method of recognizing efficient cross-layer spreaders as the champion method. © 2016 IEEE. | en |
| dc.language.iso | en | en |
| dc.source | Proceedings - IEEE Military Communications Conference MILCOM | en |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011923320&doi=10.1109%2fMILCOM.2016.7795434&partnerID=40&md5=0e9b01e3cf21928b4428dd94a1027285 | |
| dc.subject | Ad hoc networks | en |
| dc.subject | Artificial intelligence | en |
| dc.subject | Complex networks | en |
| dc.subject | Decision support systems | en |
| dc.subject | Drones | en |
| dc.subject | Helicopters | en |
| dc.subject | Military communications | en |
| dc.subject | Military helicopters | en |
| dc.subject | Mobile telecommunication systems | en |
| dc.subject | Network layers | en |
| dc.subject | Network protocols | en |
| dc.subject | Spreaders | en |
| dc.subject | Unmanned aerial vehicles (UAV) | en |
| dc.subject | Ad-hoc communication | en |
| dc.subject | Back-bone network | en |
| dc.subject | Backbone formation | en |
| dc.subject | Connected Dominating Set | en |
| dc.subject | Efficient communications | en |
| dc.subject | Multi-layer network | en |
| dc.subject | Network backbones | en |
| dc.subject | Network-wide broadcasting | en |
| dc.subject | Vehicular ad hoc networks | en |
| dc.subject | Institute of Electrical and Electronics Engineers Inc. | en |
| dc.title | Backbone formation in military multi-layer ad hoc networks using complex network concepts | en |
| dc.type | conferenceItem | en |
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