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LORD: Leader-based framework for Resource Discovery in Mobile Device Clouds

机译:LORD:移动设备资源发现的基于领导者的框架   云

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摘要

We provide a novel solution for Resource Discovery (RD) in mobile deviceclouds consisting of selfish nodes. Mobile device clouds (MDCs) refer tocooperative arrangement of communication-capable devices formed withresource-sharing goal in mind. Our work is motivated by the observation thatwith ever-growing applications of MDCs, it is essential to quickly locateresources offered in such clouds, where the resources could be content,computing resources, or communication resources. The current approaches for RDcan be categorized into two models: decentralized model, where RD is handled byeach node individually; and centralized model, where RD is assisted bycentralized entities like cellular network. However, we propose LORD, aLeader-based framewOrk for RD in MDCs which is not only self-organized and notprone to having a single point of failure like the centralized model, but alsois able to balance the energy consumption among MDC participants better thanthe decentralized model. Moreover, we provide a credit-based incentive tomotivate participation of selfish nodes in the leader selection process, andpresent the first energy-aware leader selection mechanism for credit-basedmodels. The simulation results demonstrate that LORD balances energyconsumption among nodes and prolongs overall network lifetime compared todecentralized model.
机译:我们为包含自私节点的移动设备云中的资源发现(RD)提供了一种新颖的解决方案。移动设备云(MDC)指的是考虑到资源共享目标而形成的具有通信能力的设备的协作安排。观察到,随着MDC的应用不断增长,我们的工作受到鼓舞,因此必须快速定位在这种云中提供的资源,在这些云中资源可以是内容,计算资源或通信资源。当前的RD方法可以分为两个模型:分散模型,其中RD由每个节点单独处理;和集中式模型,其中RD由诸如蜂窝网络之类的集中实体辅助。但是,我们提出了LORD,这是MDC中基于RD的领导者框架,它不仅是自组织的,并且不像集中式模型那样容易出现单点故障,而且与分散模型相比,它能够更好地平衡MDC参与者之间的能耗。此外,我们提供了一种基于信用的激励机制,以激励自私节点参与领导者选择过程,并提出了基于信用模型的第一个具有能量意识的领导者选择机制。仿真结果表明,与分散模型相比,LORD平衡了节点之间的能耗,并延长了整个网络的寿命。

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