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Combining Software-Defined and Delay-Tolerant Approaches in Last-Mile Tactical Edge Networking
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID iD: 0000-0002-0350-4621
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID iD: 0000-0002-7561-5582
Brazilian Army, Brasília, Brasilien.ORCID iD: 0000-0002-3068-0532
Brazilian Army, Brasília, Brasilien.
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2017 (English)In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 55, no 10, p. 22-29, article id 8067679Article in journal (Refereed) Published
Abstract [en]

Network-centric warfare is a no-way-back trend in modern military operations. The application of this concept ranges from upper-level decision making echelons to troop guidance on the battlefield, and many studies have been carried out in this area. However, most of these are concerned with either the higher-level strategic networks, that is, the networks linking the higher echelons with abundant resources, satellite communications, or even a whole network infrastructure, or high-end TEN, representing resource-rich troops in the field, with military aircraft, battleships, or ground vehicles equipped with powerful wireless communication devices and (almost) unrestricted energy resources for communication. However, these studies fail to take into account the "last-mile TEN," which comprises resource constrained communication devices carried by troopers, equipping sensor nodes deployed in the field or small unmanned aerial vehicles. In an attempt to fill this gap in the studies on battlefield networking, this article seeks to combine software-defined and delay-tolerant approaches to support the diverse range of strict requirements for applications in the last-mile TEN. © 2017 IEEE.

Place, publisher, year, edition, pages
Piscataway: Institute of Electrical and Electronics Engineers (IEEE), 2017. Vol. 55, no 10, p. 22-29, article id 8067679
Keywords [en]
autonomous aerial vehicles, decision making, delay tolerant networks, military aircraft, military communication, military computing, remotely operated vehicles, software defined networking, wireless sensor networks, unmanned aerial vehicles, battlefield networking, delay-tolerant approaches, last-mile TEN, last-mile tactical edge, network-centric warfare, modern military operations, upper-level decision making echelons, troop guidance, higher-level strategic networks, higher echelons, abundant resources, satellite communications, network infrastructure, high-end TEN, resource-rich troops, military aircraft, ground vehicles, powerful wireless communication devices, unrestricted energy resources, resource constrained communication devices, battleships, sensor nodes, Wireless sensor networks, Wireless communication, Satellite broadcasting, Military aircraft, Military communication, Decision making
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hh:diva-38318DOI: 10.1109/MCOM.2017.1700239ISI: 000413037100004Scopus ID: 2-s2.0-85036477140OAI: oai:DiVA.org:hh-38318DiVA, id: diva2:1263205
Note

Funding Agency:

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS) Grant number: 2240-2551/14-2SIAFEM

Available from: 2018-11-14 Created: 2018-11-14 Last updated: 2018-11-15Bibliographically approved

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Zacarias, IulisloiPignaton de Freitas, Edison

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Zacarias, IulisloiGaspary, Luciano PaschoalKohl, AndersonnStocchero, Jorgito M.Pignaton de Freitas, Edison
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