{"id":"W4251227225","doi":"10.2139/ssrn.3606911","title":"Performance Comparison of Routing Protocols in Mobile Ad Hoc Networks","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Computer network; Mobile ad hoc network; Optimized Link State Routing Protocol; Ad hoc On-Demand Distance Vector Routing; Adaptive quality of service multi-hop routing; Ad hoc wireless distribution service; Wireless ad hoc network; Wireless Routing Protocol; Routing protocol; Routing (electronic design automation); Telecommunications; Wireless; Network packet","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005730524,0.0009734951,0.00101171,0.003097348,0.0008553772,0.001734159,0.001463647,0.001048163,0.00206343],"category_scores_gemma":[0.01258136,0.0002566301,0.0003755215,0.002436988,0.0005792622,0.002666772,0.0008048004,0.000553703,0.0004306505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0018954,"about_ca_system_score_gemma":0.001031648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739604,"about_ca_topic_score_gemma":0.001597782,"domain_scores_codex":[0.994833,0.002044237,0.0005257484,0.0003477799,0.001774355,0.0004748952],"domain_scores_gemma":[0.9841415,0.0105253,0.0007680188,0.001108961,0.003065984,0.0003902611],"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":[0.01050851,0.001648818,0.01706466,0.002587361,0.00111583,0.0005582968,0.0005591883,0.4545951,0.06228318,0.01416007,0.01112418,0.4237948],"study_design_scores_gemma":[0.0005390436,0.00869475,0.01364465,0.0001573158,0.0008934946,0.001162089,0.001158596,0.903363,0.05430922,0.00589729,0.01000088,0.0001797079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9106786,0.01835586,0.0449747,0.001074872,0.001140113,0.0004352975,0.0009248573,0.001727274,0.02068842],"genre_scores_gemma":[0.9827241,0.002796378,0.01076072,0.00006035329,0.0001382729,0.00007148358,0.0009361326,0.0000855703,0.00242703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005730524,"threshold_uncertainty_score":0.03030628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144820413012606,"score_gpt":0.2945449818226589,"score_spread":0.2730967776925329,"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."}}