Multi-Reciprocity Policies Co-Evolution Based Incentive Evaluating Framework for Mobile P2P Systems

Lü, Kun; Wang, Shiyu; Cui, Guanghai; Li, Mingchu; Bin-Liaqat, Hannan

doi:10.1109/access.2016.2630736

Cited by 10 publications

(4 citation statements)

References 33 publications

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“…However, this reciprocal incentive scheme approach is not sufficient for designing heterogeneous P2P network, thus, the authors introduce an incentive scheme based on virtual nodes or clusters of trusted nodes that unify user devices since devices with enough resource can support devices that are poor in resources while maintaining game-theoretic properties of reciprocity [113]. There is also a need to provide incentives to peers so that they can share resources [114]. Many incentive systems and policies have been developed in recent years to balance the load and prevent free-riding in peer-to-peer (P2P) networks.…”

Section: Peer-to-peer Network Modellingmentioning

confidence: 99%

“…This is easily true for homogenous systems, but hardly so for real-life peer distribution. Transparency and size scalability [22], [114] Evolutionary game P2P incentive mechanism [72] Social network P2P resource discovery [87] Case study of BitTorrent traffic P2P traffic prediction [115] P2P traffic prediction [116] Wavelet analysis and Kalman filter P2P traffic prediction [119], [120] P2P pricing by ISPs [121] LMD and GARCH Flash P2P traffic prediction [122],[123 Graph theory Characterizing P2P botnets [124] Incomplete and dynamic game P2P incentive mechanism [125] Credit incentives for quality video upload [126] P2P content availability [127], [128] P2P trust management [43], [129] Peer pollution in P2P…”

Section: Peer-to-peer Network Modellingmentioning

confidence: 99%

“…Furthermore, the authors in [114] and [124][125] observed that peers are not generous enough to share their limited resources, such as bandwidth, in a practical mobile P2P network, but only want to download, owing to their being strategic and rational. This practice is known as "free-riding."…”

Section: Peer-to-peer Network Modellingmentioning

confidence: 99%

“…In [124], a dynamic and incomplete game was developed. Whereas, a framework based on evolutionary game theory was developed in [114]. In [125], a credit incentive for peers in a network encourages the upload of multimedia files.…”

Section: Peer-to-peer Network Modellingmentioning

confidence: 99%

See 3 more Smart Citations

A State-of-the-Art Survey of Peer-to-Peer Networks: Research Directions, Applications and Challenges

Ehiagwina¹,

Iromini²,

Olatinwo³

et al. 2022

J. Engg. Res. & Sci.

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Centralized file-sharing networks have low reliability, scalability issues, and possess a single point of failure, thus making peer-to-peer (P2P) networks an attractive alternative since they are mostly anonymous, autonomous, cooperative, and decentralized. Although, there are review articles on P2P overlay networks and technologies, however, other aspects such as hybrid P2P networks, modelling of P2P, trust and reputation management issues, coexistence with other existing networks, and so on have not been comprehensively reviewed. In addition, existing reviews were limited to articles published in or before 2012. This paper performs a state-of-the-art literature survey on the emerging research areas of P2P networks, applications and ensuing challenges along with proposed solutions by scholars. The literature search for this survey was limited to the top-rated publisher of scholarly articles. This research shows that issues with security, privacy, the confidentiality of information and trust management will need greater attention, especially in sensitive applications like health services and vehicle to vehicle communication ad hoc networks. In addition, more work is needed in developing solutions to effectively investigate and curb deviant behaviours among some P2P networks.

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Section: Peer-to-peer Network Modellingmentioning

confidence: 99%