caa a22 4500 605468710 CHVBK 20210128100318.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s00500-014-1572-6 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1572-6 Peer selection in P2P wireless mesh networks: comparison of different strategies [Elektronische Daten] [Lissette Valdés, Soraya Montesinos, Alfonso Ariza, Sira Allende, Gonzalo Joya] In this paper, we study the use of various strategies for selecting the server node in Peer to Peer networks, which are especially oriented networks with limited resources such as wireless mesh networks based on WiFi technology. We examine three different strategies: Random, the currently most used one, in which the server node is randomly chosen, Min-Hop, that selects the path with the least number of hops, and Purely Fuzzy, where the selection is made from a fuzzy inference process using the number of hops and the ETX cost (Expected Transmission Count) as fuzzy inputs. We analyze two different transmission scenarios: without obstacles and with obstacles between nodes. Results show that the currently more extended random strategy is the least efficient in most of cases, Min-Hop and Purely Fuzzy have a very similar behavior in networks without obstacles, and Purely Fuzzy is clearly more efficient in networks with obstacles. The study of performance was carried out using a wireless network simulation tool for discrete event simulation OMNeT++. Springer-Verlag Berlin Heidelberg, 2015 P2P nationallicence Wireless mesh network nationallicence Fuzzy control nationallicence Peer selection nationallicence Valdés Lissette Faculty of Mathematics and Computing, University of Havana, Havana, Cuba aut Montesinos Soraya Department of Electronic Technology, University of Málaga, Málaga, Spain aut Ariza Alfonso Department of Electronic Technology, University of Málaga, Málaga, Spain aut Allende Sira Faculty of Mathematics and Computing, University of Havana, Havana, Cuba aut Joya Gonzalo Department of Electronic Technology, University of Málaga, Málaga, Spain aut Soft Computing Springer Berlin Heidelberg 19/9(2015-09-01), 2447-2455 1432-7643 19:9<2447 2015 19 500 https://doi.org/10.1007/s00500-014-1572-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1572-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Valdés Lissette Faculty of Mathematics and Computing, University of Havana, Havana, Cuba aut NATIONALLICENCE 700 1- Montesinos Soraya Department of Electronic Technology, University of Málaga, Málaga, Spain aut NATIONALLICENCE 700 1- Ariza Alfonso Department of Electronic Technology, University of Málaga, Málaga, Spain aut NATIONALLICENCE 700 1- Allende Sira Faculty of Mathematics and Computing, University of Havana, Havana, Cuba aut NATIONALLICENCE 700 1- Joya Gonzalo Department of Electronic Technology, University of Málaga, Málaga, Spain aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/9(2015-09-01), 2447-2455 1432-7643 19:9<2447 2015 19 500