{"id":"W2018193963","doi":"10.1145/1582379.1582558","title":"Energy efficient reuse set formulation with end-to-end packet loss constraint in TDMA based wireless sensor networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Time division multiple access; Computer science; Computer network; Wireless sensor network; Packet loss; End-to-end delay; Quality of service; Energy consumption; Frame (networking); Reuse; Network packet; End-to-end principle; Real-time computing; Transmission delay; Engineering","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":[0.00183571,0.001099191,0.001173405,0.0006332262,0.0004637385,0.001335134,0.00195345,0.001187411,0.001861705],"category_scores_gemma":[0.002616799,0.0007444092,0.0007225375,0.001116439,0.001001528,0.002219567,0.001313659,0.001216878,0.0003257484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686099,"about_ca_system_score_gemma":0.001170033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002723029,"about_ca_topic_score_gemma":0.002653904,"domain_scores_codex":[0.9990866,0.000399337,0.00003392277,0.0001131733,0.0002774303,0.00008949357],"domain_scores_gemma":[0.99899,0.0006983181,0.00009326841,0.00006096752,0.0001139537,0.00004353546],"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":[0.00003423069,0.00003097266,0.0001000564,0.00007771741,0.00002283539,0.00005948427,0.00006297302,0.9368023,0.001394899,0.04579941,0.0005184658,0.01509671],"study_design_scores_gemma":[0.000006967381,0.00002457566,0.00002504162,0.000005595555,0.000004976685,0.000009855304,0.0000121176,0.9903824,0.0003817126,0.008643521,0.000498409,0.000004770693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006006827,0.000289562,0.9918646,0.0001355185,0.00002225859,0.00003366699,0.00002510197,0.00004850807,0.001573991],"genre_scores_gemma":[0.5014002,0.001270023,0.4861794,0.0001793159,0.0001158556,0.0007465821,0.0001416865,0.0001725962,0.009794433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002723029,"threshold_uncertainty_score":0.01223356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000501666282535,"score_gpt":0.2200271625958797,"score_spread":0.2100221459330544,"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."}}