{"id":"W1965155889","doi":"10.1109/giis.2014.6934271","title":"Energy efficient clustering protocol for WSN using PSO","year":2014,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Energy consumption; Wireless sensor network; Cluster analysis; Network packet; Scalability; Efficient energy use; Routing protocol; Computer network; Protocol (science); Throughput; Distributed computing; Cluster (spacecraft); Network topology; Real-time computing; Engineering; Wireless; Artificial intelligence","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":[0.0003384648,0.0001917284,0.0001871198,0.0001132328,0.0002137818,0.0001914763,0.0007730863,0.00008516094,0.00001054756],"category_scores_gemma":[0.00002341311,0.0001650394,0.00009773107,0.0003055322,0.00003498971,0.0001156431,0.0003503855,0.00006392301,0.000005918268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006454708,"about_ca_system_score_gemma":0.00003274755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004988538,"about_ca_topic_score_gemma":0.00002737448,"domain_scores_codex":[0.9983287,0.00007140372,0.0002944779,0.0005218124,0.0002704168,0.0005132206],"domain_scores_gemma":[0.9988309,0.0001701019,0.0001142544,0.0006594508,0.0001048306,0.0001204242],"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":[0.000008749058,0.0000556612,0.000009416712,0.00001820736,0.000004384022,7.480018e-7,0.00003342476,0.9016632,0.0009393222,0.08008061,0.0002398904,0.01694632],"study_design_scores_gemma":[0.0006667153,0.00007787568,0.000008191787,0.00004018442,0.000002046075,0.000009004686,0.000002956058,0.9572617,0.005859401,0.0001588088,0.03568872,0.0002243433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005383005,0.000001231079,0.9764904,0.0001001457,0.0002926778,0.01746169,2.149764e-7,0.0003285914,0.004786783],"genre_scores_gemma":[0.2122474,1.309769e-7,0.6945938,0.001001368,0.0005286099,0.09049401,0.000001623736,0.00005636696,0.001076622],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2818965,"threshold_uncertainty_score":0.6730112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896747357686941,"score_gpt":0.2860958947175747,"score_spread":0.2571284211407053,"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."}}