Using artificial intelligence in routing schemes for wireless networks

被引：22

作者：

Barbancho, Julio ^{[1
]}

Leon, Carlos ^{[1
]}

Molina, F. J. ^{[1
]}

Barbancho, Antonio ^{[1
]}

机构：

[1] Univ Seville, Escuela Univ Politecn, Dept Elect Technol, Seville 41011, Spain

来源：

COMPUTER COMMUNICATIONS | 2007年 / 30卷 / 14-15期

关键词：

wireless sensor networks (WSN); Ad hoc networks; quality of service (QoS); artificial neural networks (ANN); routing; self-organizing map (SOM); ubiquitous computing;

D O I：

10.1016/j.comcom.2007.05.023

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For the latest 10 years, many authors have focused their investigations in wireless sensor networks. Different researching issues have been extensively developed: power consumption, MAC protocols, self-organizing network algorithms, data-aggregation schemes, routing protocols, QoS management, etc. Due to the constraints on data processing and power consumption, the use of artificial intelligence has been historically discarded. However, in some special scenarios the features of neural networks are appropriate to develop complex tasks such as path discovery. In this paper, we explore the performance of two very well-known routing paradigms, directed diffusion and Energy-Aware Routing, and our routing algorithm, named SIR, which has the novelty of being based on the introduction of neural networks in every sensor node. Extensive simulations over our wireless sensor network simulator, OLIMPO, have been carried out to study the efficiency of the introduction of neural networks. A comparison of the results obtained with every routing protocol is analyzed. This paper attempts to encourage the use of artificial intelligence techniques in wireless sensor nodes. (C) 2007 Elsevier B.V. All rights reserved.

引用

页码：2802 / 2811

页数：10

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