{"id":"W4385451814","doi":"10.1109/iccns58795.2023.10193472","title":"Routing Protocol in Mobile Ad Hoc Networks based on Energy Consumption","year":2023,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Optimized Link State Routing Protocol; Computer network; Wireless Routing Protocol; Ad hoc wireless distribution service; Mobile ad hoc network; Wireless ad hoc network; Energy consumption; Routing protocol; Adaptive quality of service multi-hop routing; Vehicular ad hoc network; Zone Routing Protocol; Routing (electronic design automation); Telecommunications; Engineering; Wireless; Electrical 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":[0.0005494541,0.0006547986,0.0006482058,0.0008686495,0.0005049004,0.001432603,0.001123432,0.0008820199,0.001607141],"category_scores_gemma":[0.001449866,0.0002130937,0.0003664196,0.001831319,0.0005571773,0.001979224,0.000603954,0.0009122195,0.0009092618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006661114,"about_ca_system_score_gemma":0.0005959186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009403563,"about_ca_topic_score_gemma":0.0009873379,"domain_scores_codex":[0.999198,0.000188684,0.0000604481,0.00009123501,0.0004165906,0.00004519269],"domain_scores_gemma":[0.9995651,0.0001540488,0.00006268291,0.00005171313,0.0001502671,0.00001626794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001752318,0.0001728486,0.002829827,0.001638151,0.0001876504,0.0008118712,0.0004023287,0.1751994,0.02788704,0.2698314,0.02148512,0.4993792],"study_design_scores_gemma":[0.00007824515,0.0006534311,0.002772452,0.0006345193,0.0002203533,0.002619059,0.0004438787,0.5771556,0.01773281,0.1330132,0.2644789,0.0001975104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02315897,0.03489403,0.8604101,0.001984482,0.001870098,0.0008429562,0.0004660603,0.002022567,0.07435078],"genre_scores_gemma":[0.5561337,0.04331097,0.3429055,0.001049322,0.0009939473,0.001607567,0.001177164,0.0003400781,0.0524819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001607141,"threshold_uncertainty_score":0.005376458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966775252980637,"score_gpt":0.2758506316491522,"score_spread":0.2561828791193458,"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."}}