PROJECT TITLE :

VPEF: A Simple and Effective Incentive Mechanism in Community-Based Autonomous Networks

ABSTRACT:

This paper focuses on incentivizing cooperative behavior in community-based mostly autonomous networking environments (like mobile social networks, etc.), in that through dynamically forming virtual and/or physical communities, users voluntarily participate in and contribute resources (or provide services) to the community whereas consuming. Specifically, we proposed a easy however effective EGT (Evolutionary Game Theory)-based mechanism, VPEF (Voluntary Principle and spherical-based mostly Entry Fee), to drive the networking surroundings into cooperative. VPEF builds incentive mechanism as two straightforward system rules: The first is VP that means that every one behaviors are voluntarily conducted by users: Users voluntarily participate (once paying round-based entry fee), voluntarily contribute resource, and voluntarily punish different defectors (incurring extra price to those thus-known as punishers); The second is EF that means that an arbitrarily little round-based mostly entry fee is ready for every user who needs to participate within the community. We tend to presented a generic analytical framework of evolutionary dynamics to model VPEF theme, and theoretically proved that VPEF scheme's potency loss defined because the ratio of system time, in that no users will offer resource, is . is the quantity of users in community-primarily based collaborative system. Finally, the simulated results using content availability for example verified our theoretical analysis.