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A cooperative game theoretic approach for data replication in mobile ad-hoc networks

机译:移动自组织网络中数据复制的合作博弈论方法

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The mobile computing environment provides many benefits such as ubiquitous access to computing but include constraints on resources such as: available bandwidth and battery life. Replication is a widely recognized method for balancing the demands of storage space with bandwidth and battery life. We propose a novel scheme that seeks to strategically balance these constrained resources through a cooperative game-theoretic approach for replication in a mobile environment. Our replication strategy relies on the cooperation of the nodes within the network to make replica caching decisions which are spatiotemporally local-optimal for the network from an energy and bandwidth conservation standpoint. In cooperative altruistic data replication, CADR, each node calculates the net global benefit, NGB, for caching a replica of the requested data, as the result data is returned from the responding node to the requesting node, where it is then determines the spatiotemporally local-optimal node for replicating the data item. Performance results from our research indicate that our scheme, CADR, improves the query response time by 25% and 45%, mean hop count is improved by 26% and 46%, query error is reduced by 30% and 48%, while energy utilization is reduced 30% and 57% when compared with both another game theoretic replication approach and standard cooperative caching respectively.
机译:移动计算环境具有许多优势,例如无处不在的计算访问权限,但包括对资源的限制,例如:可用带宽和电池寿命。复制是一种公认​​的平衡存储空间需求与带宽和电池寿命的方法。我们提出了一种新颖的方案,该方案旨在通过合作的博弈论方法在移动环境中进行复制,从而在战略上平衡这些受约束的资源。我们的复制策略依赖于网络内节点的协作来制定副本缓存决策,从节能和带宽节省的角度来看,副本缓存对于网络在时空上是局部最优的。在协作式利他数据复制CADR中,每个结点都会计算全局全局净收益NGB,以缓存请求数据的副本,因为结果数据从响应节点返回到请求节点,然后在此确定时空本地-用于复制数据项的最佳节点。我们研究的性能结果表明,我们的方案CADR将查询响应时间缩短了25%和45%,平均跳数增加了26%和46%,查询错误减少了30%和48%,同时能源利用率与另一种游戏理论复制方法和标准协作缓存相比,它分别减少了30%和57%。

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