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首页> 外文期刊>Journal of network and computer applications >Classical and bio-inspired mobility in sensor networks for IoT applications
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Classical and bio-inspired mobility in sensor networks for IoT applications

机译：物联网应用中传感器网络中经典和生物启发的移动性

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摘要

With the emergence of Internet of Things (loT) technology, a huge number of sensor based applications are going to be deployed. Thus, due to their valuable contribution, these sensors have to operate consistently and fulfill their task efficiently. To this end, the communications they involve must be optimal to comply with the expected requirements of IoT users. Bio-inspired computing paradigm has exhibited its capability to offer the best outcomes in information communications over wireless sensor network and vehicular ad hoc network environments. Providing mobility to sensor nodes in these networks enables to substantially improving ability of data sensing through energy saving, and data delivery through node proximity collecting. Indeed, this improve. ment is still also of great importance in loT sensor environments. This work aims at increasing the knowledge of the readers by providing sufficient and comprehensive backgrounds in biologically inspired algorithms used for satisfactorily solving challenges posed by different sensors' mobility schemes in the context of IoT applications. Therefore, we give a global overview of static and mobile sensor node strategies with details related to Mobile Wireless Sensor Network (MWSN) enabling technologies. A set of routing protocols based on nodes' mobility will be succinctly examined according to classical domain as well as to bio-inspired one, in order to bring out what should be suitable for IoT applications depending on sensor nodes as building blocks.
机译：随着物联网（loT）技术的出现，将部署大量基于传感器的应用程序。因此，由于它们的宝贵贡献，这些传感器必须始终如一地运行并有效地完成其任务。为此，它们涉及的通信必须是最佳的，以符合物联网用户的预期要求。受生物启发的计算范例已展现出能够在无线传感器网络和车辆自组织网络环境中的信息通信中提供最佳结果的能力。在这些网络中为传感器节点提供移动性，可以通过节能显着提高数据传感的能力，并通过节点邻近度收集来提高数据传递的能力。确实，这种情况有所改善。在物联网传感器环境中，传感器仍然非常重要。这项工作旨在通过在生物学启发的算法中提供足够全面的背景知识来增加读者的知识，这些算法可用来令人满意地解决物联网应用中不同传感器的移动性方案带来的挑战。因此，我们对静态和移动传感器节点策略进行了全面概述，并详细介绍了与移动无线传感器网络（MWSN）支持技术相关的信息。将根据经典领域以及受生物启发的方法简要地检查一组基于节点移动性的路由协议，以便根据传感器节点作为构建模块，得出适用于物联网应用的路由协议。

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