{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003467941,0.0001831378,0.0003756946,0.0001271317,0.00009228307,0.00008812118,0.00127088,0.0001113218,0.000003299539],"category_scores_gemma":[0.00003310642,0.0001677744,0.0000775846,0.0006467596,0.0000440958,0.0006194437,0.0002139796,0.002209002,0.000009900315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008616364,"about_ca_system_score_gemma":0.001824646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005300676,"about_ca_topic_score_gemma":0.0002392581,"domain_scores_codex":[0.9962397,0.0001732856,0.0006851999,0.0002808047,0.0004525085,0.002168475],"domain_scores_gemma":[0.9987562,0.00005998251,0.0004541143,0.0004329235,0.0001534556,0.0001433047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009071568,0.0002224686,0.0512968,0.00001091244,0.00003336238,0.000004371324,0.001115302,0.1692461,0.00002922968,0.01321808,0.0001726602,0.76456],"study_design_scores_gemma":[0.001702221,0.002040272,0.001104315,0.0001867357,0.00000615214,0.0002056508,0.000682171,0.9833523,0.0001605184,0.006905738,0.003365439,0.0002884589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4801282,0.01668217,0.495259,0.0001223154,0.0004253575,0.006152874,2.598752e-7,0.000109388,0.001120401],"genre_scores_gemma":[0.9962165,0.0008771443,0.001807218,0.00002414674,0.0001680684,0.0007785372,6.874908e-7,0.00001702558,0.0001107016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8141062,"threshold_uncertainty_score":0.9597136,"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."}}