Semantic Clustering in Wireless Sensor Networks

被引：0

作者：

da Rocha, Atslands Rego ^{[1
]}

dos Santos, Igor Leao ^{[2
]}

Pirmez, Luci ^{[2
]}

Delicato, Flavia C. ^{[3
]}

Gomes, Danielo G. ^{[1
]}

de Souza, Jose Neuman ^{[1
]}

机构：

[1] Univ Fed Ceara, Fortaleza, Ceara, Brazil

[2] Univ Fed Rio de Janeiro, Rio De Janeiro, Brazil

[3] Univ Fed Rio Grande do Norte, Natal, RN, Brazil

来源：

COMMUNICATIONS: WIRELESS IN DEVELOPING COUNTRIES AND NETWORKS OF THE FUTURE | 2010年 / 327卷

关键词：

Wireless sensor networks; semantic clustering; fuzzy logic system; PROTOCOL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Wireless Sensor Networks have critical resource constraints and minimizing resources usage is crucial to extend the network lifetime. Energy saving in WSNs can be achieved through several techniques, such as topology control and clustering, to provide a longer lifetime and scalability to the network. In this paper we propose a semantic clustering model based on a fuzzy inference system to find out the semantic neighborhood relationships in the network. As a case study we describe the structural health monitoring domain application which has been used to illustrate and verify the proposed model.

引用

页码：3 / +

页数：3

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