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On Maximizing the Lifetime of Wireless Sensor Networks by Optimally Assigning Energy Supplies

机译:通过优化分配能源来最大化无线传感器网络的使用寿命

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摘要

The extension of the network lifetime of Wireless Sensor Networks (WSN) is an important issue that has not been appropriately solved yet. This paper addresses this concern and proposes some techniques to plan an arbitrary WSN. To this end, we suggest a hierarchical network architecture, similar to realistic scenarios, where nodes with renewable energy sources (denoted as primary nodes) carry out most message delivery tasks, and nodes equipped with conventional chemical batteries (denoted as secondary nodes) are those with less communication demands. The key design issue of this network architecture is the development of a new optimization framework to calculate the optimal assignment of renewable energy supplies (primary node assignment) to maximize network lifetime, obtaining the minimum number of energy supplies and their node assignment. We also conduct a second optimization step to additionally minimize the number of packet hops between the source and the sink. In this work, we present an algorithm that approaches the results of the optimization framework, but with much faster execution speed, which is a good alternative for large-scale WSN networks. Finally, the network model, the optimization process and the designed algorithm are further evaluated and validated by means of computer simulation under realistic conditions. The results obtained are discussed comparatively.
机译:无线传感器网络(WSN)网络寿命的延长是一个尚未解决的重要问题。本文解决了这一问题,并提出了一些计划任意WSN的技术。为此,我们建议采用类似于实际情况的分层网络架构,其中具有可再生能源的节点(称为主要节点)执行大多数消息传递任务,而配备常规化学电池的节点(称为次要节点)是那些沟通需求更少。该网络体系结构的关键设计问题是开发新的优化框架,以计算可再生能源的最佳分配(主要节点分配),以最大化网络寿命,获得最少数量的能源及其节点分配。我们还进行了第二个优化步骤,以进一步最小化源和宿之间的数据包跳数。在这项工作中,我们提出了一种算法,该算法可以逼近优化框架的结果,但是执行速度要快得多,对于大规模WSN网络而言,这是一个很好的选择。最后,在实际条件下,通过计算机仿真进一步评估和验证了网络模型,优化过程和设计的算法。获得的结果进行了比较讨论。

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