{"id":"W4317399287","doi":"10.18280/mmep.090631","title":"Investigation of Energy Efficient Clustering Algorithms in WSNs: A Review","year":2022,"lang":"en","type":"review","venue":"Mathematical Modelling and Engineering Problems","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Routing protocol; Wireless sensor network; Toolbox; Distributed computing; Energy consumption; Routing (electronic design automation); Efficient energy use; Computer network; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008774587,0.001195641,0.001522651,0.002517058,0.0004192972,0.001035811,0.001324809,0.00113482,0.00258898],"category_scores_gemma":[0.001408143,0.0006207559,0.0008470163,0.005361017,0.0004720931,0.002088987,0.0006855257,0.001164043,0.001774457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006063259,"about_ca_system_score_gemma":0.001340297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001941131,"about_ca_topic_score_gemma":0.001364395,"domain_scores_codex":[0.9996396,0.00005345176,0.00004864764,0.00009323539,0.0001364279,0.00002866258],"domain_scores_gemma":[0.9991843,0.000387923,0.00007035981,0.00002976061,0.0002928389,0.00003471678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005732516,0.00009994615,0.0003738801,0.01893226,0.0001097644,0.0001224775,0.00009703664,0.003526714,0.001603878,0.008749054,0.01699579,0.9493319],"study_design_scores_gemma":[0.00002233655,0.0003039677,0.001529299,0.006093472,0.000343714,0.001405,0.0001908686,0.003287392,0.002335767,0.007416487,0.9769782,0.00009335245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004673026,0.993616,0.003210464,0.0002805469,0.0003161691,0.000018399,0.0000299883,0.00003011909,0.002031082],"genre_scores_gemma":[0.002070432,0.9945278,0.002338249,0.0001249141,0.0002406448,0.00001837957,0.00006945967,0.000008234751,0.0006019544],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00258898,"threshold_uncertainty_score":0.008661032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06217537216392448,"score_gpt":0.2455473826135231,"score_spread":0.1833720104495986,"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."}}