{"id":"W2040878133","doi":"10.1109/twc.2014.2336801","title":"An Energy Efficient MAC Protocol for Fully Connected Wireless Ad Hoc Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wireless ad hoc network; Throughput; Network packet; Efficient energy use; Multiple Access with Collision Avoidance for Wireless; Transmission (telecommunications); Energy consumption; Mobile ad hoc network; Transmission delay","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":[0.001342316,0.001045798,0.0007639258,0.001043855,0.001046434,0.001387135,0.002118687,0.001042916,0.001714696],"category_scores_gemma":[0.003986728,0.0004520426,0.0006400866,0.001401929,0.0006624799,0.002096822,0.00151925,0.001801581,0.0006521919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006095751,"about_ca_system_score_gemma":0.001131889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006463237,"about_ca_topic_score_gemma":0.001302767,"domain_scores_codex":[0.9980054,0.00046067,0.0002198536,0.0001585261,0.001062236,0.00009331264],"domain_scores_gemma":[0.9983047,0.0005080214,0.0002678214,0.0003212,0.0005458207,0.00005252954],"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":[0.0004397421,0.0003209494,0.0006920985,0.00255409,0.0004888618,0.001166592,0.0005880193,0.08399323,0.08312374,0.229651,0.05190992,0.5450718],"study_design_scores_gemma":[0.0001728183,0.0008279351,0.001123786,0.0004315503,0.0002943463,0.002989177,0.0001386788,0.6248314,0.02939256,0.06964035,0.2698731,0.0002844295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003783722,0.003773445,0.9847636,0.0004002004,0.000936145,0.0005815789,0.000146065,0.001355709,0.004259607],"genre_scores_gemma":[0.2165546,0.005059635,0.7580932,0.001329611,0.0008003345,0.003736969,0.0008676247,0.0002484578,0.01330947],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002118687,"threshold_uncertainty_score":0.007098913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893743709140677,"score_gpt":0.3029956336168375,"score_spread":0.2740581965254307,"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."}}