{"id":"W2028067429","doi":"10.1016/j.comcom.2008.10.012","title":"QoS routing with traffic distribution in mobile ad hoc networks","year":2008,"lang":"en","type":"article","venue":"Computer Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer network; Computer science; Ad hoc On-Demand Distance Vector Routing; Distributed computing; Mobile ad hoc network; Optimized Link State Routing Protocol; Adaptive quality of service multi-hop routing; Routing protocol; Wireless Routing Protocol; Destination-Sequenced Distance Vector routing; Dynamic Source Routing; 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":[0.003271241,0.000945161,0.0009395839,0.001162424,0.0007553239,0.00166076,0.00177113,0.001205829,0.002071514],"category_scores_gemma":[0.008788683,0.0007867912,0.000311504,0.002183422,0.001565485,0.003544386,0.00142071,0.001482154,0.0005086838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285475,"about_ca_system_score_gemma":0.0006652111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001364864,"about_ca_topic_score_gemma":0.001052279,"domain_scores_codex":[0.9983652,0.0007275923,0.00006264947,0.0001741042,0.0005407393,0.0001297845],"domain_scores_gemma":[0.9966469,0.002374358,0.0001697908,0.0003139414,0.0004051487,0.00008977527],"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":[0.0004734032,0.0001517698,0.00121594,0.0002282647,0.00005454445,0.0001731978,0.000173971,0.5610703,0.005279172,0.1852951,0.004564214,0.2413201],"study_design_scores_gemma":[0.0000236498,0.00004721296,0.0001072992,0.0000132154,0.00001847873,0.00009213573,0.00002206924,0.9220211,0.001155341,0.07365783,0.002831082,0.00001047516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01287042,0.002027637,0.9801942,0.0006656413,0.0002873703,0.00004012983,0.00003088403,0.000419677,0.003464157],"genre_scores_gemma":[0.74879,0.003454857,0.2370745,0.0002802661,0.001226325,0.0001293001,0.0001217971,0.00021992,0.008703092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003271241,"threshold_uncertainty_score":0.01730019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164145427795417,"score_gpt":0.2401051350081182,"score_spread":0.218463680730164,"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."}}