{"id":"W2113674672","doi":"10.1109/icc.2011.5962412","title":"Adaptive Sleeping Periods in IEEE 802.15.4 for Efficient Energy Savings: Markov-Based Theoretical Analysis","year":2011,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"IEEE 802.15; Computer science; Wireless sensor network; Reliability (semiconductor); Markov chain; Distributed coordination function; Network allocation vector; Network packet; Markov process; IEEE 802.11; Inter-Access Point Protocol; IEEE 802.11s; Computer network; Power (physics); Wireless; Throughput; Wireless network; Wi-Fi; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007299797,0.0001854881,0.000329024,0.0002871117,0.000104751,0.00009567265,0.0007447622,0.0001037357,0.0002050609],"category_scores_gemma":[0.00002942308,0.0001508349,0.0002481078,0.001104151,0.0001189575,0.0001160931,0.0001139244,0.000100903,0.00000414442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006133375,"about_ca_system_score_gemma":0.00007651767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001844667,"about_ca_topic_score_gemma":0.0001532969,"domain_scores_codex":[0.9982685,0.00015575,0.0003340254,0.0005487818,0.0002258987,0.0004670481],"domain_scores_gemma":[0.9987567,0.0004086718,0.00008749845,0.0005314141,0.00009426545,0.0001214387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002425088,0.0002865946,0.00161847,0.00001699699,0.0001445179,0.00001675991,0.001012801,0.04039583,0.00007272503,0.9091838,0.0002044193,0.04680461],"study_design_scores_gemma":[0.0004002101,0.0002265918,0.001738581,0.00004659819,0.00003731398,5.689882e-7,0.00002695226,0.9923081,0.00213636,0.002693472,0.0001523417,0.0002329073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003523172,0.00003083216,0.9908726,0.0001512167,0.0001009869,0.001404027,0.000001695538,0.00009055378,0.003824936],"genre_scores_gemma":[0.8921383,0.000001123439,0.1051064,0.0005334225,0.0000478909,0.00211519,0.000001211156,0.0000103305,0.00004613083],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9519123,"threshold_uncertainty_score":0.615087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294630936654241,"score_gpt":0.2492978660452062,"score_spread":0.2263515566786638,"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."}}