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Clustering protocols in wireless sensor network: A survey, classification, issues, and future directions
Computer Science Review ( IF 13.3 ) Pub Date : 2021-03-30 , DOI: 10.1016/j.cosrev.2021.100396
Piyush Rawat , Siddhartha Chauhan

The sensors employed in the wireless sensor network are battery-powered which are prepared with a limited energy supply. Most of the applications in the field of wireless sensor network primarily focus on enhancing the network life by incorporating different techniques. The clustering algorithms have proved to be one of the most competent solutions for improving the performance of wireless sensor network. The clustering based approaches in the wireless sensor network manage the network functioning to handle the limited energy in the best possible way to uplift the network lifetime. The surveys in any area can help in providing comprehensive and quick information about that area. Keeping this viewpoint in mind, the intensive study about the existing clustering protocols is presented in this paper. In this survey, the clustering approaches are classified into four categories: homogeneous network-based, heterogeneous network-based, fuzzy logic based and heuristic based protocols. The classification has been performed on the basis of their network organization and techniques utilized to manage the clustering procedures. The various parameters of performance, features, and clustering methodologies are considered for the comparison of all the four categories of protocols to evaluate their competency. The objective, key features, shortcomings, and benefits of different clustering techniques are examined in this survey to provide a deeper insight of the clustering area to the researchers, which can help them in their new journey of research in this domain.



中文翻译:

无线传感器网络中的群集协议:调查,分类,问题和未来发展方向

无线传感器网络中使用的传感器由电池供电,这些电池的供电量有限。无线传感器网络领域中的大多数应用程序主要集中在通过合并不同的技术来延长网络寿命。事实证明,聚类算法是提高无线传感器网络性能的最有效解决方案之一。无线传感器网络中基于群集的方法管理网络功能,以最佳方式处理有限的能量,从而延长网络寿命。任何领域的调查都可以帮助提供有关该领域的全面而快速的信息。牢记这一观点,本文对现有的群集协议进行了深入研究。在这项调查中 聚类方法分为四类:基于同构网络,基于异构网络,基于模糊逻辑和基于启发式的协议。分类是根据其网络组织和用于管理群集过程的技术进行的。为了比较所有四类协议以评估其性能,考虑了性能,功能和聚类方法的各种参数。在本次调查中,我们研究了不同聚类技术的目标,关键特征,缺点和好处,以为研究人员提供更深入的聚类领域见解,从而可以帮助他们进行这一领域的新研究。基于模糊逻辑和基于启发式的协议。分类是根据其网络组织和用于管理群集过程的技术进行的。为了比较所有四类协议以评估其性能,考虑了性能,功能和聚类方法的各种参数。在本次调查中,我们研究了不同聚类技术的目标,关键特征,缺点和好处,以为研究人员提供更深入的聚类领域见解,从而可以帮助他们进行这一领域的新研究。基于模糊逻辑和基于启发式的协议。分类是根据其网络组织和用于管理群集过程的技术进行的。为了比较所有四类协议以评估其性能,考虑了性能,功能和聚类方法的各种参数。在本次调查中,我们研究了不同聚类技术的目标,关键特征,缺点和好处,以为研究人员提供更深入的聚类领域见解,从而可以帮助他们进行这一领域的新研究。考虑使用聚类方法和聚类方法对所有四个类别的协议进行比较以评估其能力。在本次调查中,我们研究了不同聚类技术的目标,主要特征,缺点和好处,以为研究人员提供更深入的聚类领域见解,从而可以帮助他们进行这一领域的新研究。考虑使用聚类方法和聚类方法对所有四个类别的协议进行比较以评估其能力。在本次调查中,我们研究了不同聚类技术的目标,关键特征,缺点和好处,以为研究人员提供更深入的聚类领域见解,从而可以帮助他们进行这一领域的新研究。

更新日期:2021-03-30
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