{"id":{"repo_id":"carleton","oai_identifier":"oai:carleton.scholaris.ca:20.500.14718/38156"},"canonical_url":"https://search.dev.ndltd.org/etd/carleton/oai:carleton.scholaris.ca:20.500.14718/38156","repository":{"repo_id":"carleton","name":"Carleton University","base_url":"https://carleton.scholaris.ca/server/oai/request"},"display":{"title":"Unmanned Aeronautical Ad-hoc Networks: Enhancing the Reactive-Greedy-Reactive Protocol and Introducing a New Mobility Model","abstract":"Unmanned Aeronautical Ad-hoc Networks (UAANETs) are infrastructure-less and self-organizing networks that are formed by small and medium sized Unmanned Aerial Vehicles (UAVs) that are deployed for a wide range of civilian and military applications. Having a reliable routing protocol for communication between the UAVs is critical. Our goal in this research is twofold. First, we enhance one of the existing routing protocols, the Reactive-Greedy-Reactive (RGR) protocol. In doing so, we propose the Optimized-RGR. Secondly, we propose the Enhanced Gauss-Markov (EGM) mobility model for UAANET simulations to replace the widely used, but unrealistic, Random Waypoint (RWP) mobility model. Simulations performed using the OPNET simulator show that Optimized-RGR outperforms RGR. There is a 5.3% increase in Packet Delivery Ratio at a negligible cost in latency. Furthermore, realistic mobility models, including EGM, show a lot of network partitioning. Therefore, this should be taken very seriously when developing a routing protocol for UAANETs.","abstract_html":"Unmanned Aeronautical Ad-hoc Networks (UAANETs) are infrastructure-less and self-organizing networks that are formed by small and medium sized Unmanned Aerial Vehicles (UAVs) that are deployed for a wide range of civilian and military applications. Having a reliable routing protocol for communication between the UAVs is critical. Our goal in this research is twofold. First, we enhance one of the existing routing protocols, the Reactive-Greedy-Reactive (RGR) protocol. In doing so, we propose the Optimized-RGR. Secondly, we propose the Enhanced Gauss-Markov (EGM) mobility model for UAANET simulations to replace the widely used, but unrealistic, Random Waypoint (RWP) mobility model. Simulations performed using the OPNET simulator show that Optimized-RGR outperforms RGR. There is a 5.3% increase in Packet Delivery Ratio at a negligible cost in latency. Furthermore, realistic mobility models, including EGM, show a lot of network partitioning. Therefore, this should be taken very seriously when developing a routing protocol for UAANETs.","abstract_has_math":false,"creators":["Medjo Me Biomo, Jean-Daniel"],"institution":"Carleton University","degree_name":"Master of Applied Science (M.App.Sc.)","degree_level":"Master's","degree_discipline":"Engineering, Electrical and Computer","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014","date_published":"2014","updated_at":"2026-07-24T01:34:30Z","subjects":[],"languages":["en"],"rights":["Copyright © 2014 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. 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First, we enhance one of the existing routing protocols, the Reactive-Greedy-Reactive (RGR) protocol. In doing so, we propose the Optimized-RGR. Secondly, we propose the Enhanced Gauss-Markov (EGM) mobility model for UAANET simulations to replace the widely used, but unrealistic, Random Waypoint (RWP) mobility model. Simulations performed using the OPNET simulator show that Optimized-RGR outperforms RGR. There is a 5.3% increase in Packet Delivery Ratio at a negligible cost in latency. Furthermore, realistic mobility models, including EGM, show a lot of network partitioning. Therefore, this should be taken very seriously when developing a routing protocol for UAANETs."]},{"key":"dc:title","label":"Title","values":["Unmanned Aeronautical Ad-hoc Networks: Enhancing the Reactive-Greedy-Reactive Protocol and Introducing a New Mobility Model"]}]}],"canonical_facts":{"dc:creator":["Medjo Me Biomo, Jean-Daniel"],"dc:date.accessioned":["2025-04-08T19:18:09Z"],"dc:date.available":["2025-04-08T19:18:09Z"],"dc:date.issued":["2014"],"dc:description.abstract":["Unmanned Aeronautical Ad-hoc Networks (UAANETs) are infrastructure-less and self-organizing networks that are formed by small and medium sized Unmanned Aerial Vehicles (UAVs) that are deployed for a wide range of civilian and military applications. Having a reliable routing protocol for communication between the UAVs is critical. Our goal in this research is twofold. First, we enhance one of the existing routing protocols, the Reactive-Greedy-Reactive (RGR) protocol. In doing so, we propose the Optimized-RGR. Secondly, we propose the Enhanced Gauss-Markov (EGM) mobility model for UAANET simulations to replace the widely used, but unrealistic, Random Waypoint (RWP) mobility model. Simulations performed using the OPNET simulator show that Optimized-RGR outperforms RGR. There is a 5.3% increase in Packet Delivery Ratio at a negligible cost in latency. Furthermore, realistic mobility models, including EGM, show a lot of network partitioning. Therefore, this should be taken very seriously when developing a routing protocol for UAANETs."],"dc:identifier.doi":["10.22215/etd/2014-10112"],"dc:identifier.uri":["https://hdl.handle.net/20.500.14718/38156"],"dc:language.iso":["en"],"dc:publisher":["Carleton University"],"dc:rights":["Copyright © 2014 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. 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