From the last few years, a P2P network has also been playing a significant role in real-time data transmission. During recent years the importance of P2P network is increasing due to its scalability and an easy cost-efficient model. The P2P networks play a crucial role in communication and data transfer. A comparative analysis of FLHyO with some of the landmark overlay approaches verifies that our proposed approach provides better quality of service (QoS) in the network and also improves the video quality at receiver side. Some of the other factors considered by FLHyO for overlay creation are geographical location, upload bandwidth, age and utilization of a peer. FLHyO uses the fuzzy system for determining the priority of each peer during overlay creation. So in this paper, we propose a novel Fuzzy Logic based Hybrid Overlay (FLHyO). It is difficult to construct an overlay in such a way that resource utilization along with other QoS parameters in the network is maximal. Generally, the peers in a P2P network are heterogeneous, isolated and mobile in nature.
But both type of overlays have proven to be inadequate in fulfilling the requirements of today’s streaming systems. Many structured and unstructured P2P overlay construction techniques have been introduced till now. Some of the key factors that affect the performance of P2P live streaming are overlay, scheduling schemes and selfish peer. The popularity of P2P network for live streaming can be credited to its fundamental characteristics such as a decentralized model, low complexity and scalability.
In recent times, enormous growth has been observed in the field of media streaming and real-time communication using peer-to-peer (P2P) network. The parameters used for calculating the performances are end-to-end delay, playback delay, start-up delay, and frame redundancy etc. The simulation results presented in this paper verify the approach and illustrate that the quality of video and performance of network improves using our new score based incentive mechanism. Different score values are assigned for different parameters. For calculating the score value of a peer, parameters like upload capacity, video quality, control packets, a time period for which peers stay in the network can be used. This approach is based on a reward-punishment based method, so the peers are encouraged or motivated to share more resources and chastise selfish peers. In this paper, we will discuss a new score based incentive mechanism to improve the overall resource utilization.
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So, there is a requirement of an incentive-based mechanism to motivate the selfish peer or free riders in the network to improve the performance of the network. The availability of selfish peer or free riders affects the total resource utilization and degrades the performance of the network. Resource utilization of peer-to-peer network is one foremost motive for selecting this network over the traditional client-server architecture. The rise in prominence of peer-to-peer network can be attributed to its properties like resource utilization and distributed nature. A significant part of Internet traffic is being created by the peer-to-peer network resulting in an increase in its demand. The field of real-time communication and media streaming has witnessed enormous growth in recent times owing to their use of peer-to-peer network. A decentralized model is primarily used for communication and file transfer, the peer-to-peer network is based on this model.
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