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A Bi-objective Power Aware Routing Algorithm for Personal Networks

机译:个人网络的双目标功率感知路由算法

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Personal Network (PN) is a novel concept which facilitates anytime and anywhere interaction between the user and all the devices he owns them. Services are provided to the user of a PN by enabling multi-hop communication between his devices. Relaying traffic in multi-hop networks drains the battery of intermediate nodes quickly. Usually in a PN both battery-operated and mains-connected or grid-powered devices exist. We propose a bi-objective power aware routing algorithm for PNs that directs the relay traffic towards mains-connected devices, while keeping the number of hops minimal. The number of battery-operated nodes and the number of hops are the two routing metrics considered in our proposed bi-objective routing algorithm. We use lexicographic method and the weighted sum approach to solve the bi-objective optimization problem and to derive variants of the bi-objective routing algorithms. We evaluate the performance of the proposed algorithm in terms of the resultant lifetime for the network and the average hop count of routes. Through extensive simulations we show that our scheme can significantly enhance the lifetime of battery-operated nodes while the hop count is kept close to its optimal value.
机译:个人网络(PN)是一种新颖的概念,它有助于随时随地以及他拥有它们的所有设备之间的互动。通过在其设备之间启用多跳通信,向PN的用户提供服务。多跳网络中的中继流量快速排出中间节点的电池。通常在PN中,存在电池操作和电源连接的或电网供电的设备。我们提出了一种用于PNS的双目标功率感知路由算法,它将中继流量指向电源连接的设备,同时保持啤酒期数最小。电池操作节点的数量和跳数是我们所提出的双目标路由算法中考虑的两个路由指标。我们使用词典方法和加权方法来解决双目标优化问题,并导出双目标路由算法的变体。我们在所产生的终身方面评估所提出的算法的性能以及路线的平均跳数。通过广泛的模拟,我们表明我们的方案可以显着提高电池供电节点的寿命,而跳数保持接近其最佳值。

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