{"id":"W4236992307","doi":"10.22215/etd/2016-11455","title":"Design and Analysis of An Intelligent Wireless Ad Hoc Routing Protocol and Controller for UAV Networks","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer network; Computer science; Optimized Link State Routing Protocol; Network packet; Throughput; Ad hoc On-Demand Distance Vector Routing; Wireless ad hoc network; Routing protocol; End-to-end delay; Mobile ad hoc network; Ad hoc wireless distribution service; Network simulation; Vehicular ad hoc network; Wireless Routing Protocol; Controller (irrigation); Packet loss; Distributed computing; Wireless","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005510635,0.000460119,0.0003935232,0.0003906517,0.0004659473,0.001043147,0.0009884151,0.0004364943,0.001611367],"category_scores_gemma":[0.001020071,0.0002743845,0.0004021075,0.0001932548,0.0003037612,0.000647901,0.0003075885,0.000557673,0.0003393466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009644649,"about_ca_system_score_gemma":0.001151833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002435468,"about_ca_topic_score_gemma":0.002427277,"domain_scores_codex":[0.9995554,0.00006572394,0.00001877013,0.00006053527,0.0002528488,0.0000466318],"domain_scores_gemma":[0.9996517,0.0001035071,0.00003458586,0.00003254403,0.0001629744,0.00001463734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008780362,0.0001340304,0.001507785,0.0002873528,0.00007868069,0.0002860049,0.0001306029,0.7228567,0.05713589,0.07851565,0.003012751,0.1359668],"study_design_scores_gemma":[0.000009382069,0.0001022677,0.0001459335,0.00001137619,0.00002338414,0.00005213243,0.00001603664,0.9855388,0.0069827,0.002321932,0.004788946,0.000007036408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01796701,0.0006082066,0.969831,0.0001630882,0.0001075407,0.0002561512,0.00003056864,0.0003670436,0.01066937],"genre_scores_gemma":[0.6564624,0.001146503,0.3323933,0.000121922,0.00008241682,0.0005183141,0.0001395192,0.0000939877,0.009041666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002435468,"threshold_uncertainty_score":0.006997705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779045311522551,"score_gpt":0.2930093935919004,"score_spread":0.2752189404766748,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}