{"id":"W2107057596","doi":"10.1109/sensorcomm.2009.114","title":"Performance Analysis of ZigBee-Based Wireless Sensor Networks with Path-Constrained Mobile Sink(s)","year":2009,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer network; Wireless sensor network; Computer science; Sink (geography); Base station; Overhead (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":[0.001057734,0.0004455761,0.0003186399,0.000464648,0.0002703727,0.0005443606,0.0004100986,0.0003614052,0.0005211691],"category_scores_gemma":[0.002872424,0.0001215714,0.0001904177,0.0005813218,0.0005119777,0.0007135373,0.0003276352,0.0002727102,0.0001407872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133043,"about_ca_system_score_gemma":0.0005699997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002430392,"about_ca_topic_score_gemma":0.001666058,"domain_scores_codex":[0.9993944,0.0001977512,0.00003157656,0.00009254775,0.0001919268,0.00009179234],"domain_scores_gemma":[0.998347,0.0008921156,0.0002492678,0.00008294618,0.0003893121,0.0000393551],"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":[0.0001674743,0.00004578212,0.004014986,0.0001040648,0.00003430509,0.0001050238,0.0000795824,0.971725,0.009415491,0.004162251,0.0003055483,0.009840404],"study_design_scores_gemma":[0.000004337148,0.0001797654,0.00162706,0.000009807546,0.00001252936,0.00006366709,0.0000490878,0.9944723,0.002422205,0.0008582167,0.0002928871,0.000008146467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8860784,0.002093036,0.09942773,0.0004356703,0.00006452821,0.00006079267,0.000211987,0.0003083852,0.01131934],"genre_scores_gemma":[0.9977628,0.0002628697,0.001572046,0.00001575964,0.000005618801,0.000009346203,0.00004619148,0.000007438593,0.0003179877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002430392,"threshold_uncertainty_score":0.008220792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005363100930434613,"score_gpt":0.1982390659615553,"score_spread":0.1928759650311207,"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."}}