Improving Decision-Making for Fuzzy Logic-based Routing in Wireless Sensor Networks

被引：4

作者：

Ahvar, Ehsan ^{[1
]}

Ortiz, Antonio M. ^{[1
]}

Crespi, Noel ^{[1
]}

机构：

[1] Telecom SudParis, Inst Mines Telecom, Paris, France

来源：

2013 IEEE 10TH INTERNATIONAL CONFERENCE ON AND 10TH INTERNATIONAL CONFERENCE ON AUTONOMIC AND TRUSTED COMPUTING (UIC/ATC) UBIQUITOUS INTELLIGENCE AND COMPUTING | 2013年

关键词：

ALGORITHMS;

D O I：

10.1109/UIC-ATC.2013.87

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The task of routing data from a source node to the base station is a critical issue in Wireless Sensor Networks (WSNs). Fuzzy logic is the main proposal of a number of papers in the literature as an effective method for making decisions to transfer data towards the destination. Although fuzzy logic has a very important role in designing routing protocols for WSNs, identifying its fuzzy sets and defining best possible rules is a complex challenge. This paper introduces Improved-fuzzy logic (I-fuzzy), a simple and effective method that helps to address the weakness of fuzzy logic in terms of defining rules. The I-fuzzy method is tested in several scenarios by using GloMosim simulator and compared to a classic fuzzy logic approach and to a traditional minimum hop routing. The results show that the I-Fuzzy method outperforms the other approaches in terms of data delivery, energy conservation and load distribution.

引用

页码：583 / 588

页数：6

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