{"id":"W1971075767","doi":"10.1016/j.adhoc.2012.04.003","title":"Cross-layer optimization with cooperative communication for minimum power cost in packet error rate constrained wireless sensor networks","year":2012,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cross-layer optimization; Time division multiple access; Network packet; Computer science; Relay; Computer network; Optimization problem; Wireless sensor network; Physical layer; Hop (telecommunications); Power optimization; Wireless; Power control; Node (physics); Power (physics); Mathematical optimization; Wireless network; Algorithm; Engineering; Mathematics; 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":[0.00334602,0.001673146,0.001668739,0.0007840306,0.0005315049,0.001214472,0.001833603,0.001565596,0.002144246],"category_scores_gemma":[0.007079089,0.0009005235,0.0007309275,0.001346926,0.001143436,0.001961855,0.001940089,0.001244356,0.0002734011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103429,"about_ca_system_score_gemma":0.001422051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003756677,"about_ca_topic_score_gemma":0.003007414,"domain_scores_codex":[0.9987829,0.0005543433,0.00005432598,0.0001685712,0.0002793976,0.0001603914],"domain_scores_gemma":[0.9973761,0.001918916,0.0002153849,0.0001156202,0.0003140618,0.00005988957],"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":[0.00005445418,0.00003883861,0.0001124066,0.00004379524,0.00003464869,0.00002794262,0.00003860581,0.9845545,0.0007775541,0.006507221,0.0004993441,0.007310672],"study_design_scores_gemma":[0.000007371069,0.00002253412,0.00003167406,0.000002596833,0.000005953185,0.00000467714,0.000005025975,0.99782,0.0001611073,0.00188048,0.00005559013,0.00000302715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02181533,0.0004126748,0.9756762,0.0002444967,0.00005157539,0.00005170082,0.00004482845,0.0000972039,0.001606138],"genre_scores_gemma":[0.8542578,0.0005499023,0.1401166,0.0002123435,0.0001178517,0.0004132736,0.0001381131,0.0001394571,0.004054694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003756677,"threshold_uncertainty_score":0.01769567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03649772048595648,"score_gpt":0.304769086160071,"score_spread":0.2682713656741145,"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."}}