Node centrality in wireless sensor networks: Importance, applications and advances

Node centrality in wireless sensor networks: Importance, applications and advances
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无线传感器网络中的节点中心性:重要性、应用和进展

DOI:
10.1109/iadcc.2013.6514207
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发表时间:
2013
期刊:
IEEE International Advance Computing Conference
影响因子:
--
通讯作者:
B. Reddy
B. Reddy
中科院分区:
--
文献类型:
--
作者:
Aarti Jain;B. Reddy

文献摘要

被引文献

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无线传感器网络的协议基于为其部署网络的应用。也是单个节点的特征可能导致不同的网络特征以及协议。中心性度量定义了节点在网络中的重要性和角色。它还有助于计算其重要性以及与其相邻节点的关系。因此,中心性度量可能有助于解决无线传感器网络的各种固有问题和开发有效的算法。本文给出了适用于无线传感器网络的各种图中心性度量。文中还讨论了这些图中心性度量的实用性和重要性。在此基础上,提出了一种新的图中心性度量方法--簇中心性。
Protocols for wireless sensor network are based upon the application for which the network is deployed for. It is also the individual node characteristics which may lead to different network characteristics as well as protocols. Centrality measure defines the importance and role of a node within a network. It also helps in calculating its importance and relationship with its neighboring nodes. Hence centrality measures may help in resolving various inherent problems and developing efficient algorithms for wireless sensor networks. In this paper we present various graph centrality measures that are applicable to wireless sensor networks. The utility and importance of these graph centrality measures have also been discussed. Further we have proposed a new graph centrality measure named as cluster centrality for WSNs.