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Cost Minimization in Wireless Networks with a Bounded and Unbounded Number of Interfaces

机译:接口数量不受限制的无线网络中的成本最小化

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摘要

Given a graph G = (V,E) with |V| = n and |E| = m, which models a set of wireless devices (nodes V) connected by multiple radio interfaces (edges £), the aim is to switch on the minimum cost set of interfaces at the nodes to satisfy all the connections. A connection is satisfied when the endpoints of the corresponding edge share at least one active interface. Every node holds a subset of all the possible k interfaces. Depending on whether k is a priori bounded or not, the problem is called Cost Minimization in Multi-Interface Networks or Cost Minimization in Unbounded Multi-Interface Networks, respectively. We distinguish two main variations for both problems by treating the cost of maintaining an active interface as uniform (I.e., the same for all interfaces), or nonuniform.rnFor bounded k, we show that the problem is APX-hard while we obtain an approximation factor of min{「k+1/2」,2m} for the uniform case and a (k - 1)-approximation for the nonuniform case.rnFor unbounded k, I.e., k is not set a priori but depends on the given instance, we prove that the problem is not approximable within O(log k) while the same approximation factor of the k-bounded case holds in the uniform case, and a min{k-1,(1 + lnn)}-approximation factor holds for the nonuniform case. Next, we also provide hardness and approximation results for several classes of networks: with bounded degree, trees, planar, and complete graphs.
机译:给定具有| V |的图G =(V,E) = n和| E | = m,它模拟了通过多个无线电接口(边缘£)连接的一组无线设备(节点V),目的是在节点上启用接口的最低成本以满足所有连接。当相应边缘的端点共享至少一个活动接口时,满足连接。每个节点都包含所有可能的k个接口的子集。根据k是否为先验有界,该问题分别称为多接口网络中的成本最小化或无边界多接口网络中的成本最小化。通过将活动接口的维护成本保持为统一(即所有接口相同)或不统一,我们区分了这两个问题的两个主要变体。对于有界k,我们表明问题是APX难题,而我们得到了一个近似值均匀情况下的最小因数{{k + 1/2'',2m / n}和非均匀情况下的(k-1)近似。rn对于无界k,即,k不是先验设置的,而是取决于在给定的实例中,我们证明了问题在O(log k)内不是可近似的,而在均匀情况下,k界情况的相同近似因子成立,并且min {k-1,/ n(1 + lnn)} -近似因数在非均匀情况下成立。接下来,我们还提供几类网络的硬度和近似结果:有界度,树,平面和完整图。

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