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Network lifetime maximization in wireless mesh networks for machine-to-machine communication

机译:用于机器对机器通信的无线网状网络中网络寿命的最大化

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摘要

In this paper we present new optimization formulations for maximizing the network lifetime in wireless mesh networks performing data aggregation and dissemination for machine-to-machine communication in the Internet of Things. We focus on heterogeneous networks in which multiple applications co-exist and nodes may take on different roles for different applications. Moreover, we address network reconfiguration as a means to increase the network lifetime, in keeping with the current trend towards software defined networks and network function virtualization. To test our optimization formulations, we conducted a numerical study using randomly-generated mesh networks from 10 to 30 nodes, and showed that the network lifetime can be increased using network reconfiguration by up to 75% over a single, minimal-energy configuration. Further, our solutions are feasible to implement in practical scenarios: only few configurations are needed, thus requiring little storage for a standalone network, and the synchronization and signalling needed to switch configurations is low relative to each configuration's operating time. (C) 2019 Elsevier B.V. All rights reserved.
机译:在本文中,我们提出了新的优化方案,用于最大化无线网状网络中的网络寿命,该无线网状网络在物联网中的机器对机器通信中执行数据聚合和分发。我们关注异构网络,在该异构网络中,多个应用程序共存,并且节点可能针对不同的应用程序扮演不同的角色。此外,我们将网络重新配置作为增加网络寿命的一种手段,以适应当前软件定义网络和网络功能虚拟化的趋势。为了测试我们的优化公式,我们使用从10到30个节点的随机生成的网状网络进行了数值研究,结果表明,通过网络重新配置,与单个最小能耗配置相比,网络寿命可以增加多达75%。此外,我们的解决方案可在实际情况下实施:仅需很少的配置,因此对独立网络的存储需求很少,并且切换配置所需的同步和信令相对于每种配置的运行时间都很低。 (C)2019 Elsevier B.V.保留所有权利。

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