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Data Replication in Cooperative Mobile Ad-Hoc Networks

机译:协作移动Ad-Hoc网络中的数据复制

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The mobile computing environment provides many benefits such as ubiquitous access to computing but includes 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-theory 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, each node calculates the net global benefit, for caching a replica of the requested data, as the result data is returned from the responding node to the requesting node, where it 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,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中,每个节点都会计算全局净收益,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,在此它确定时空本地最优节点来复制请求数据。数据项。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%,平均跳数分别提高了26%和46%,查询错误分别减少了30%和48%,同时能源利用率减少了30%与另一种游戏理论复制方法和标准协作缓存相比分别为57%和57%。

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