Priority Scheme for Enhancing the Capacity of Peer-to-Peer Networks in Mobile Environments

Authors

  • Edgar E. Báez Esquivel Instituto Politécnico Nacional, SEPI Escuela Superior de Cómputo
  • Mario E. Rivero-Angeles Instituto Politécnico Nacional, Centro de Investigación en Computación, Communication Networks Laboratory
  • Alfonso Fernandez-Vazquez Instituto Politécnico Nacional, SEPI Escuela Superior de Cómputo

DOI:

https://doi.org/10.13053/cys-22-4-2719

Keywords:

Index terms, peer-to-peer network, BitTorrent, Markov chain, fluid model, cellular networks, WLAN

Abstract

Given the pervasive use of wireless systems, based on the IEEE 802.11 and LTE standards, Peer-to-Peer (P2P) networks take relevance due to their inherent flexibility and scalability. In a mobile environment, users experience different channel conditions. This has a major impact on the system’s performance as it is perceived by users in different coverage zones. Additionally, users have different degrees of mobility which can improve or degrade the quality of the received signal. In this work, a wireless mobile P2P network is studied. Building on this, two different scenarios are considered. Namely, a WLAN environment where nodes usually know the placement of the access point and can move closer to it in order to improve their channel quality and a cellular system where nodes usually do not know where their attending base station is located. Building on this, a priority model to improve the system’s performance is proposed, studied and analyzed. This priority scheme is based on serving first users that experience a better channel condition in order to improve the file downloading process. The aforementioned networks are analyzed using both a fluid model and a Continuous Time Markov Chain.

Author Biographies

Edgar E. Báez Esquivel, Instituto Politécnico Nacional, SEPI Escuela Superior de Cómputo

Posgraduate student of ESCOM-IPN

Mario E. Rivero-Angeles, Instituto Politécnico Nacional, Centro de Investigación en Computación, Communication Networks Laboratory

Proffessor at the network and data science laboratory

Alfonso Fernandez-Vazquez, Instituto Politécnico Nacional, SEPI Escuela Superior de Cómputo

Professot at ESCOM-IPN

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Published

2018-12-30