{"id":"W2107365122","doi":"10.1007/978-3-642-29280-4_36","title":"Performance Analysis of AODV and DSR Routing Protocols for Ad-Hoc Networks","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Ad hoc On-Demand Distance Vector Routing; Computer network; Dynamic Source Routing; Optimized Link State Routing Protocol; Wireless ad hoc network; Mobile ad hoc network; Destination-Sequenced Distance Vector routing; Wireless Routing Protocol; Routing protocol; Distance-vector routing protocol; Ad hoc wireless distribution service; Distributed computing; Routing (electronic design automation); Wireless; Telecommunications; Network packet","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001784173,0.0005419209,0.001010943,0.0009238363,0.0002638828,0.0003183924,0.002677786,0.0004020423,0.00001155586],"category_scores_gemma":[0.00005249453,0.0004925912,0.0002397567,0.001499511,0.0006116786,0.0007400587,0.00144156,0.0006255651,0.000001962582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001607092,"about_ca_system_score_gemma":0.0002261874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003406708,"about_ca_topic_score_gemma":0.00004266364,"domain_scores_codex":[0.9961029,0.0000366152,0.0008040537,0.001405708,0.0007256272,0.000925079],"domain_scores_gemma":[0.9963954,0.0008258044,0.0006964437,0.001549991,0.0003216527,0.0002106702],"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":[0.00001189639,0.00001840221,0.000797434,0.00006581444,0.00007761893,0.000002289995,0.0003737196,0.1974647,0.00001383305,0.003516435,0.000005954084,0.7976519],"study_design_scores_gemma":[0.0002488874,0.0002500034,0.001263534,0.0004228103,0.0001042335,0.00001057442,9.614643e-8,0.9930434,0.0001130905,0.002739295,0.00128828,0.0005158614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001987587,0.001369785,0.9920204,0.00007407714,0.0004744829,0.005451226,0.000005096655,0.00008888568,0.0003172489],"genre_scores_gemma":[0.4501376,0.0003090055,0.546481,0.0006427304,0.0007473839,0.001448955,0.00001460163,0.00006985026,0.0001488547],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.797136,"threshold_uncertainty_score":0.9997526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197110269752572,"score_gpt":0.2643083626707303,"score_spread":0.2445973356954731,"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."}}