naa a22 4500 51079291X CHVBK 20180411083326.0 cr unu---uuuuu 180411e20130701xx s 000 0 eng 10.1007/s11277-012-0885-y doi (NATIONALLICENCE)springer-10.1007/s11277-012-0885-y Maximizing Lifetime of Target Coverage in Wireless Sensor Networks Using Learning Automata [Elektronische Daten] [Habib Mostafaei, Mohammad Meybodi] In wireless sensor networks, when each target is covered by multiple sensors, we can schedule sensor nodes to monitor deployed targets in order to improve lifetime of network. In this paper, we propose an efficient scheduling method based on learning automata, in which each node is equipped with a learning automaton, which helps the node to select its proper state (active or sleep), at any given time. To study the performance of the proposed method, computer simulations are conducted. Results of these simulations show that the proposed scheduling method can better prolong the lifetime of the network in comparison to similar existing methods. Springer Science+Business Media New York, 2012 Wireless sensor network nationallicence Energy efficiency nationallicence Sensor scheduling nationallicence Maximum disjoint set covers nationallicence Learning automata (LA) nationallicence Mostafaei Habib Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran aut Meybodi Mohammad Computer Engineering and Information Technology Department, Amirkabir University of Technology, Tehran, Iran aut Wireless Personal Communications Springer US; http://www.springer-ny.com 71/2(2013-07-01), 1461-1477 0929-6212 71:2<1461 2013 71 11277 https://doi.org/10.1007/s11277-012-0885-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0885-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mostafaei Habib Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran aut NATIONALLICENCE 700 1- Meybodi Mohammad Computer Engineering and Information Technology Department, Amirkabir University of Technology, Tehran, Iran aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 71/2(2013-07-01), 1461-1477 0929-6212 71:2<1461 2013 71 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer