Hybrid learning algorithm for effective coverage in wireless sensor networks

Proceedings - 4th International Conference on Natural Computation, ICNC 2008

Volumn 5, Issue , 2008, Pages 227-231

  Yanjing, Sun ^a   Li, Li ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; GROWING NEURAL GASSES; HYBRID LEARNING ALGORITHMS; LEARNING PROCEDURES; OPTIMAL COVERAGES; RATE OF CONVERGENCES; REDUNDANT NODES; SIMULATION RESULTS;

CONVERGENCE OF NUMERICAL METHODS; GENETIC ALGORITHMS; HYBRID SENSORS; LEARNING ALGORITHMS; LEARNING SYSTEMS; METROPOLITAN AREA NETWORKS; NEURAL NETWORKS; ROUTING PROTOCOLS; SENSOR NETWORKS; SENSORS; SIMULATED ANNEALING; WIRELESS TELECOMMUNICATION SYSTEMS;

WIRELESS SENSOR NETWORKS;

EID: 57649201827     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2008.320     Document Type: Conference Paper

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