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Trust-based Incentive for Mobile Offloaders in Opportunistic Networks

机译:机会网络中移动卸载程序的基于信任的激励

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Mobile data offloading using opportunistic network has recently gained its significance to increase mobile data needs. Such offloaders need to be properly incentivized to encourage more and more users to act as helpers in such networks. The extent of help offered by mobile data offloading alternatives using appropriate incentive mechanisms is significant in such scenarios. The limitation of existing incentive mechanisms is that they are partial in implementation while most of them use third party intervention based derivation. However, none of the papers considers trust as an essential factor for incentive distribution. Although few works contribute to the trust analysis, but the implementation is limited to offloading determination only while the incentive is independent of trust. We try to investigate if trust could be related to the Nash equilibrium based incentive evaluation. Our analysis results show that trust-based incentive distribution encourages more than 50% offloaders to act positively and contribute successfully towards efficient mobile data offloading. We compare the performance of our algorithm with literature based salary-bonus scheme implementation and get optimum incentive beyond 20% dependence over trust-based output.
机译:最近,使用机会网络进行移动数据分流已经变得越来越重要,以增加移动数据需求。需要适当地激励这样的卸载者,以鼓励越来越多的用户在这样的网络中充当帮助者。在这种情况下,使用适当的激励机制由移动数据分流替代方案提供的帮助程度非常重要。现有激励机制的局限性在于它们只是部分实施,而大多数则使用基于第三方干预的推导。但是,没有论文认为信任是激励分配的必要因素。尽管很少有有助于信任分析的工作,但是仅在激励独立于信任的情况下,实现的工作仅限于卸载确定。我们尝试研究信任是否可以与基于纳什均衡的激励评估相关。我们的分析结果表明,基于信任的激励分配鼓励超过50%的卸载者积极行动,并为有效的移动数据卸载成功做出贡献。我们将算法的性能与基于文献的薪酬奖金计划的实现进行了比较,并获得了超过基于信任的输出20%依赖的最佳激励。

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