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Learning Automata-Based Algorithms for Solving the Target Coverage Problem in Directional Sensor Networks., , , and . Wireless Personal Communications, 73 (3): 1309-1330 (2013)A new learning automata-based approach for maximizing network lifetime in wireless sensor networks with adjustable sensing ranges., , , and . Neurocomputing, (2015)FRECAST: message transmission model in dense graphs for ad hoc networks., , and . Int. J. Simul. Process. Model., 2 (1/2): 4-11 (2006)Heuristic methods to maximize network lifetime in directional sensor networks with adjustable sensing ranges., , and . J. Netw. Comput. Appl., (2014)Ad-hoc network design with multiple metrics using Taguchi's loss function., , , , and . ICEEI, page 1-5. IEEE, (2011)Dynamic Single-Row Routing Technique for Channel Assignments., and . ITNG, page 41-46. IEEE Computer Society, (2009)EF-MPR, a new energy eFficient multi-point relay selection algorithm for MANET, , , , and . The Journal of Supercomputing, 59 (2): 744--761 (2011)A New Learning Automata-Based Algorithm to the Priority-Based Target Coverage Problem in Directional Sensor Networks., , and . MONAMI, volume 141 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 219-229. Springer, (2014)A learning automata-based solution to the target coverage problem in wireless sensor networks., and . MoMM, page 185. ACM, (2013)On Asynchronous Training in Sensor Networks., , , and . J. Mobile Multimedia, 3 (1): 34-46 (2007)