{"id":"W2134113751","doi":"10.1109/tcomm.2013.050613.121698","title":"Distributed Sampling Rate Control for Rechargeable Sensor Nodes with Limited Battery Capacity","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Wireless sensor network; Energy harvesting; Sampling (signal processing); Node (physics); Battery (electricity); Adaptive sampling; Real-time computing; Sensor node; Energy (signal processing); Efficient energy use; Key distribution in wireless sensor networks; Computer network; Wireless; Wireless network; Power (physics); Electrical engineering; Telecommunications; Engineering; Mathematics","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":[0.001164741,0.0005374669,0.0006293484,0.0003166587,0.0003142141,0.0005762815,0.001100437,0.0003567165,0.0005253945],"category_scores_gemma":[0.00305884,0.000234555,0.0002951647,0.0003557066,0.0005023051,0.0007256399,0.000502404,0.0005390026,0.00009910206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006710249,"about_ca_system_score_gemma":0.0005463262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002467431,"about_ca_topic_score_gemma":0.001786394,"domain_scores_codex":[0.9992653,0.0001922269,0.00005129682,0.0002105552,0.0002113369,0.0000692543],"domain_scores_gemma":[0.9987957,0.0006478039,0.0002081331,0.00009050436,0.0002119222,0.00004581327],"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":[0.0005063166,0.000105838,0.001046358,0.0001588365,0.00004132563,0.0001370486,0.000231015,0.8575277,0.03369842,0.01166392,0.0006225906,0.09426064],"study_design_scores_gemma":[0.00001737249,0.00004375072,0.00008955909,0.000003264711,0.000005189329,0.00001273064,0.000006538535,0.9968732,0.001841326,0.0009258133,0.0001767204,0.000004618809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04122683,0.000431659,0.9567569,0.0001124136,0.00004237185,0.00004010198,0.00001533021,0.0002334322,0.00114101],"genre_scores_gemma":[0.9613929,0.0002444785,0.03743343,0.00003650883,0.00002882102,0.00006424443,0.00002466505,0.00001562456,0.0007592405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002467431,"threshold_uncertainty_score":0.006159782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03898545921774389,"score_gpt":0.2351679946269428,"score_spread":0.1961825354091989,"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."}}