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Robust gateway placement in wireless mesh networks

机译:无线网状网络中可靠的网关放置

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Wireless mesh networks (WMNs) are communication networks that provide wireless Internet access over areas with limited infrastructure. Each node in a WMN serves several clients in its coverage area and transfers their traffic over wireless media to a few gateway nodes that have wired connections to the Internet. In this paper, we consider the Internet gateway placement (IGP) problem along with operational problems such as routing and wireless transmission capacity allocation. To eliminate wireless interference, we adopt the spatial reuse time division multiple access (TDMA) method, in which wireless transmissions are scheduled to occur at different time slots. We also employ destination-based single path routing for its ease of implementation. We present two mixed integer linear programming (MILP) formulations, both of which jointly determine the minimum number of gateway nodes needed to support forecasted demand, the locations of these gateway nodes, the routing trees, and the time slot allocations to wireless links. These formulations differ in the flow constraints. We also present a set of valid inequalities for the formulation with the multi-commodity flow constraints. In most cases, the solution to the IGP problem is not unique. Therefore, we also introduce a local search algorithm to select the most robust solution against any demand forecast errors. On example networks, we compare the proposed formulations with and without the valid inequalities in terms of the exact solution performances and the linear programming (LP) relaxations. We also demonstrate our local search algorithm to improve robustness against forecast errors on these example networks. (C) 2018 Elsevier Ltd. All rights reserved.
机译:无线网状网络(WMN)是可在基础设施有限的区域内提供无线Internet访问的通信网络。 WMN中的每个节点都为其覆盖区域中的多个客户端提供服务,并将其流量通过无线媒体传输到具有有线连接到Internet的几个网关节点。在本文中,我们考虑了Internet网关放置(IGP)问题以及诸如路由和无线传输容量分配之类的操作问题。为了消除无线干扰,我们采用空间重用时分多址(TDMA)方法,其中无线传输被安排在不同的时隙进行。我们还采用基于目标的单路径路由来简化实现。我们提出了两种混合整数线性规划(MILP)公式,这两种公式共同确定了支持预测需求所需的最小网关节点数,这些网关节点的位置,路由树以及无线链路的时隙分配。这些公式在流量限制方面有所不同。我们还针对具有多商品流约束的公式给出了一组有效的不等式。在大多数情况下,解决IGP问题的方法不是唯一的。因此,我们还引入了本地搜索算法,以针对任何需求预测误差选择最可靠的解决方案。在示例网络上,我们在精确解性能和线性规划(LP)松弛方面比较了有或没有有效不等式的拟议公式。我们还演示了我们的本地搜索算法,以提高针对这些示例网络上的预测错误的鲁棒性。 (C)2018 Elsevier Ltd.保留所有权利。

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