{"id":"W2170456220","doi":"10.1109/iscc.2005.55","title":"DRCE: A High Throughput QoS MAC Protocol for Wireless Ad Hoc Networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer network; Computer science; Quality of service; Wireless ad hoc network; Throughput; Mobile ad hoc network; IEEE 802.11s; Network packet; Service set; Ad hoc wireless distribution service; Mobile QoS; IEEE 802.11; Vehicular ad hoc network; Wireless network; Optimized Link State Routing Protocol; Wireless; Service (business); Wireless mesh network; Wi-Fi; Routing protocol; Telecommunications; Service provider","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":[0.0027227,0.001164792,0.00100595,0.001061378,0.0006490586,0.001401181,0.002672573,0.00111534,0.002084017],"category_scores_gemma":[0.005094368,0.0003870171,0.0005931146,0.0009305754,0.00107645,0.002792913,0.001819992,0.002142177,0.0007502335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005256815,"about_ca_system_score_gemma":0.000852697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004685855,"about_ca_topic_score_gemma":0.0004916776,"domain_scores_codex":[0.9980969,0.000475243,0.0001098906,0.0001433938,0.0009888671,0.000185707],"domain_scores_gemma":[0.9979203,0.0008461774,0.0002540252,0.0003331826,0.0005325092,0.000113899],"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":[0.000594398,0.0005415917,0.002351793,0.001770566,0.0002956243,0.001099901,0.0006170967,0.1487472,0.1195832,0.1977797,0.01831117,0.5083078],"study_design_scores_gemma":[0.0002297356,0.001174691,0.0006956812,0.0001530216,0.0002111649,0.002189594,0.0001981036,0.7834585,0.05864577,0.03234703,0.1205219,0.0001747728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0182637,0.005136792,0.967648,0.0006718655,0.0006611197,0.0003909434,0.00010233,0.002039083,0.005086207],"genre_scores_gemma":[0.3680165,0.008945312,0.60956,0.001196297,0.0006761246,0.001151181,0.0006358772,0.0005043792,0.009314192],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0027227,"threshold_uncertainty_score":0.01439917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404228481699512,"score_gpt":0.3117648521328527,"score_spread":0.2877225673158575,"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."}}