The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 53-775
Full Name: Yaghob Ali akbar pour
Position: Engineer
Age: ON
Sex: Male
Address: azarbayjan sharghi-hashtroud
Country: IRAN
Tel: 6220330
Tel prefix: 0424
Fax: 04246220330
E-mail address: yagob87@gmail.com
Other E-mails:
Title of the Paper: Node localization problem solving in wireless sensor networks by using Learning Automata
Authors as they appear in the Paper: Yaghob Ai akbar pour -Jaber karimpour
Email addresses of all the authors: Yagob87 @ Gmail .com-karimpour.jaber@gmail.com
Number of paper pages: 10
Abstract: Position detection of nodes in sensor network has a close relation with the methods of routing, position detection of moving targets and consuming energy. The existing localization algorithms use mathematical and statistical methods to increase the accuracy of location estimation of sensor nodes. Research shows that obtaining accurate results by using classical mathematic is very expensive. In this paper, we present a new method based on reinforcement learning algorithm in Learning Automata for localization nodes in sensor networks. In proposed algorithm, distance detection and nodes position estimation phases are used. Detection distance phase uses distance vector approach and nodes location estimation phase uses random Learning Automata with variable structure. Simulation result shows that the proposed algorithm has less error in node estimation location problem than APS (DV-distance), DV-Hop and PSO algorithms.
Keywords: Wireless sensor networks, Localization, Anchor node, Target node, Learning Automata.
EXTENSION of the file: .pdf
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