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首页> 外文期刊>Industrial Informatics, IEEE Transactions on >3-D Multiobjective Deployment of an Industrial Wireless Sensor Network for Maritime Applications Utilizing a Distributed Parallel Algorithm
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3-D Multiobjective Deployment of an Industrial Wireless Sensor Network for Maritime Applications Utilizing a Distributed Parallel Algorithm

机译：利用分布式并行算法的海事应用工业无线传感器网络的3D多目标部署

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摘要

Effectively monitoring maritime environments has become a vital problem in maritime applications. Traditional methods are not only expensive and time consuming but also restricted in both time and space. More recently, the concept of an industrial wireless sensor network (IWSN) has become a promising alternative for monitoring next-generation intelligent maritime grids, because IWSNs are cost-effective and easy to deploy. This paper focuses on solving the issue of 3-D IWSN deployment in a 3-D engine room space of a very large crude-oil carrier and also considers numerous power facilities. To address this 3-D IWSN deployment problem for maritime applications, a 3-D uncertain coverage model is proposed that uses a modified 3-D sensing model and an uncertain fusion operator. The deployment problem is converted into a multiobjective optimization problem that simultaneously addresses three objectives:coverage,lifetime,andreliability. Our goal is to achieve extensive coverage, long network lifetime, and high reliability. We also propose a distributed parallel cooperative coevolutionary multiobjective large-scale evolutionary algorithm for maritime applications. We verify the effectiveness of this algorithm through experiments by comparing it with five state-of-the-art algorithms. Numerical results demonstrate that the proposed method performs most effectively both in optimization performance and in minimizing the computation time.
机译：有效监视海事环境已经成为海事应用中的重要问题。传统方法不仅昂贵且耗时，而且在时间和空间上都受到限制。最近，工业无线传感器网络（IWSN）的概念已成为监视下一代智能海事电网的有前途的替代方法，因为IWSN具有成本效益且易于部署。本文着重解决在大型原油运输船的3-D机舱空间中3-D IWSN部署的问题，并考虑了众多的动力设施。为了解决此3-D IWSN海上应用部署问题，提出了一种3-D不确定覆盖模型，该模型使用修改后的3-D感应模型和不确定的融合算子。部署问题被转换为同时解决三个目标的多目标优化问题： n <斜体xmlns：mml = “ http：//www.w3.org/1998/Math/MathML ” xmlns：xlink = “ http ：//www.w3.org/1999/xlink “> coverage n， n 寿命， nand n 可靠性 n。我们的目标是实现广泛的覆盖范围，较长的网络寿命和高可靠性。我们还提出了一种适用于海事应用的分布式并行协作协同进化多目标大规模进化算法。我们通过与五种最新算法进行比较，通过实验验证了该算法的有效性。数值结果表明，所提出的方法在优化性能和最小化计算时间方面均能最有效地执行。

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