{"id":"W2154364344","doi":"10.1109/jsac.2010.100916","title":"Utility-based asynchronous flow control algorithm for wireless sensor networks","year":2010,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Asynchronous communication; Wireless sensor network; Convergence (economics); Throughput; Algorithm; Distributed algorithm; Wireless; Distributed computing; Wireless network; Constraint (computer-aided design); Mathematical optimization; Computer network; Telecommunications","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":[0.00165081,0.0008250554,0.0007990733,0.0006319851,0.0005843524,0.0009254841,0.001442762,0.0007537661,0.001441014],"category_scores_gemma":[0.002841426,0.0002753085,0.0003491765,0.000781404,0.0007877545,0.001707242,0.0009187807,0.001290883,0.0002954406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009663339,"about_ca_system_score_gemma":0.001085726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888075,"about_ca_topic_score_gemma":0.001353115,"domain_scores_codex":[0.9993715,0.0002342147,0.00002899944,0.000124912,0.0001714704,0.00006907802],"domain_scores_gemma":[0.9990702,0.0004925817,0.0001061314,0.00006651846,0.0002152978,0.00004925928],"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":[0.0001974245,0.0001124328,0.0003691582,0.00007801143,0.0000244787,0.00005203709,0.0001173306,0.773828,0.003011225,0.09216505,0.002313327,0.1277314],"study_design_scores_gemma":[0.00001369691,0.00001492684,0.00001428569,0.000001968074,0.000001906633,0.000005515515,0.000002991855,0.9916362,0.0002298711,0.007732044,0.0003444665,0.000002149759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003064099,0.00007148852,0.9960284,0.00006584186,0.00002398972,0.00002234502,0.000009872103,0.0001117822,0.0006022349],"genre_scores_gemma":[0.5299675,0.0003794058,0.4654791,0.0001518659,0.0001321198,0.0003518917,0.0001182238,0.00008335586,0.003336534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001888075,"threshold_uncertainty_score":0.008730412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553710742547932,"score_gpt":0.2630167666297399,"score_spread":0.2474796592042606,"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."}}