Please use this identifier to cite or link to this item: https://doi.org/10.1109/ITST.2008.4740289
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dc.titleRobust airborne wireless backbone using Low-Cost UAVs and commodity wifi technology
dc.contributor.authorSivakumar, A.
dc.contributor.authorPhang, T.-S.
dc.contributor.authorTan, C.K.Y.
dc.contributor.authorSeah, W.K.G.
dc.date.accessioned2013-07-04T08:33:13Z
dc.date.available2013-07-04T08:33:13Z
dc.date.issued2008
dc.identifier.citationSivakumar, A., Phang, T.-S., Tan, C.K.Y., Seah, W.K.G. (2008). Robust airborne wireless backbone using Low-Cost UAVs and commodity wifi technology. Proceedings - 2008 8th International Conference on Intelligent Transport System Telecommunications, ITST 2008 : 373-378. ScholarBank@NUS Repository. https://doi.org/10.1109/ITST.2008.4740289
dc.identifier.isbn9781424428588
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41681
dc.description.abstractThis paper proposes the use of low-cost Unmanned Aerial Vehicles (UAVs) to enable communication between mutually unreachable ground stations in regions without communication infrastructure. The proposed method involves flying UAVs at communicable altitude in a prespecified pattern over the ground stations. A fully autonomous control system based on the Proportional Integral Derivative controller and the Non-Linear Dynamic Inversion controller has been built for this purpose. A modified Ad-hoc On-demand Distance Vector (AODV) protocol is used to route data packets between the ground stations over the network formed by the UAVs using a delay tolerant approach. Using simulations, we show the effectiveness of the proposed solution, which consistently achieves a packet delivery ratio of above 90% regardless of number of UAVs. The average end-to-end delay drops steeply with an increase in number of UAVs. For a separation distance of 2km between ground stations, four lowcost UAVs with commodity WiFi communications equipment can achieve an average end-to-end delay of 15s and packet delivery ratio of 95%, thus giving a good balance between number of UAVs and average end-to-end delay. © 2008 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ITST.2008.4740289
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/ITST.2008.4740289
dc.description.sourcetitleProceedings - 2008 8th International Conference on Intelligent Transport System Telecommunications, ITST 2008
dc.description.page373-378
dc.identifier.isiut000264749600072
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