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Social fairness and channel loading effects in peer-to-peer connected networks

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Abstract

Spectral efficiency is significantly compromised when different users download same content over a wireless link. Especially in a peer-to-peer (PTP) network, this may also lead to congestion and unfair usage of the links by users with superior link conditions. In this paper, in order to address the above mentioned problems a socially fair user scheduling algorithm (SFUSA) for a PTP is proposed. The proposed algorithm selects a leader from the PTP who will download data and share it within the PTP using a short range ad-hoc wireless network. In order to select the leader SFUSA takes into consideration the traffic conditions in the link of individual users from the data access point along with social fairness factor of the users. It is shown through simulations that the proposed algorithm solves the problem of congestion at the data access point, along with increased retention of peers in a PTP with enhanced user satisfaction.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, BITS Pilani Goa Campus, Pilani, India

    Nitin Sharma & Souryendu Das

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  1. Nitin Sharma
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  2. Souryendu Das
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Correspondence to Souryendu Das.

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Sharma, N., Das, S. Social fairness and channel loading effects in peer-to-peer connected networks. Peer-to-Peer Netw. Appl. 11, 450–461 (2018). https://doi.org/10.1007/s12083-017-0543-y

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  • DOI: https://doi.org/10.1007/s12083-017-0543-y

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