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A Localized Algorithm for the Maximum Lifetime Broadcast Problem with Asymmetric Edge Costs

机译:边缘成本不对称的最大寿命广播问题的局部化算法

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In this paper we present an algorithm for the Maximum Lifetime Broadcast (MLB) problem, i.e. the problem of extending network lifetime when a series of broadcast operations is executed. The algorithm, called DLMCA, is localized (it uses only 2-hop information) and supports asymmetric edge costs, i.e. those scenarios where the cost of sending a message from a node u to node v might be different from the cost of sending a message from v to u. Addressing asymmetry of edge costs is an important issue, as it arises in different scenarios, such as in heterogeneous networks or when overhearing costs are taken into consideration. According to our experiments, DLMCA outperformed alternative solutions to the problem. As far as we know, DLMCA is the first localized algorithm to the MLB problem with asymmetric edge costs.
机译:在本文中,我们提出了一种最大寿命广播(MLB)问题的算法,即在执行一系列广播操作时延长网络寿命的问题。称为DLMCA的算法是本地化的(仅使用2跳信息),并且支持不对称边缘成本,即,从节点u到节点v发送消息的成本可能不同于发送消息的成本的那些场景从v到u。解决边缘成本的不对称是一个重要的问题,因为它出现在不同的场景中,例如在异构网络中,或者在考虑了偷听成本的情况下。根据我们的实验,DLMCA的性能优于替代解决方案。据我们所知,DLMCA是具有不对称边成本的MLB问题的第一个局部化算法。

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