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首页> 外文期刊>Applied Mathematical Modelling >Maximizing lifetime of a wireless sensor network via joint optimizing sink placement and sensor-to-sink routing
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Maximizing lifetime of a wireless sensor network via joint optimizing sink placement and sensor-to-sink routing

机译：通过联合优化接收器放置和传感器到接收器的布线，最大程度地延长无线传感器网络的使用寿命

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摘要

Wireless sensor networks typically contain hundreds of sensors. The sensors collect data and relay it to sinks through single hop or multiple hop paths. Sink deployment significantly influences the performance of a network. Since the energy capacity of each sensor is limited, optimizing sink deployment and sensor-to-sink routing is crucial. In this paper, this problem is modeled as a mixed integer optimization problem. Then, a novel layer-based diffusion particle swarm optimization method is proposed to solve this large-scaled optimization problem. In particular, two sensor-to-sink binding algorithms are combined as inner layer optimization to evaluate the fitness values of the solutions. Compared to existing methods that the sinks are selected from candidate positions, our method can achieve better performance since they can be placed freely within a geometrical plane. Several numerical examples are used to validate and demonstrate the performance of our method. The reported numerical results show that our method is superior to those existing. Furthermore, our method has good scalability which can be used to deploy a large-scaled sensor network.
机译：无线传感器网络通常包含数百个传感器。传感器收集数据并将其通过单跳或多跳路径中继到接收器。接收器部署会严重影响网络的性能。由于每个传感器的能量容量有限，因此优化接收器部署和传感器到接收器的布线至关重要。在本文中，将此问题建模为混合整数优化问题。然后，提出了一种新的基于层的扩散粒子群优化方法来解决该大规模优化问题。特别是，将两种传感器到接收器的绑定算法结合在一起作为内层优化来评估解决方案的适用性值。与从候选位置选择接收器的现有方法相比，我们的方法可以实现更好的性能，因为它们可以自由放置在几何平面内。几个数值示例用于验证和证明我们方法的性能。报告的数值结果表明，我们的方法优于现有方法。此外，我们的方法具有良好的可扩展性，可用于部署大型传感器网络。

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  • 来源
    《Applied Mathematical Modelling》 |2017年第9期|319-337|共19页
  • 作者

    Chuanxin Zhao; Changzhi Wu; Xiangyu Wang; Bingo Wing-Kuen Ling; Kok Lay Teo; Jae-Myung Lee; Kwang-Hyo Jung;

  • 作者单位

    School of Mathematics and Computer Science, Anhui Normal University, Wuhu, 241000, China,Jiangsu Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, Jiangsu, 210003, China;

    School of Mathematics, Chongqing Normal University, Chongqing, 400047, China,Australasian joint Research Centre for Building Information Modelling, School of Built Environment, Curtin University, Perth, WA, 6845, Australia;

    Australasian joint Research Centre for Building Information Modelling, School of Built Environment, Curtin University, Perth, WA, 6845, Australia,Department of Housing and Interior Design, Kyung Hee University, Seoul, 12001 Republic of Korea;

    School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China;

    Department of Mathematics and Statistics, Curtin University. Perth, WA 6845, Australia;

    Department of Naval Architecture and Ocean Engineering Pusan National University, Busan, 46241, Korea;

    Department of Naval Architecture and Ocean Engineering Pusan National University, Busan, 46241, Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wireless sensor network; Sink placement; Sensor-to-sink routing; Lifetime; Particle swarm optimization;

    机译：无线传感器网络;水槽放置;传感器到接收器的路由;一生;粒子群优化;

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