Automata based Energy Efficient Spanning Tree for Data Aggregation in Wireless Sensor Networks

被引：4

作者：

Eskandari, Zahra ^{[1
]}

Yaghmaee, Mohammad Hossien ^{[1
]}

Mohajerzadeh, AmirHossien ^{[1
]}

机构：

[1] Ferdowsi Univ Mashhad, Dept Comp Engn, Mashhad, Iran

来源：

2008 11TH IEEE SINGAPORE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS), VOLS 1-3 | 2008年

关键词：

Automata learning; Wireless Sensor Networks; Data Aggregation; Energy efficient; Spanning Tree;

D O I：

10.1109/ICCS.2008.4737323

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Wireless Sensor Networks (WSNs) are networks that consist of low power nodes with limited processing ability. In some applications, these sensor nodes sense data from the environment periodically and transmit these data to sink node. In order to increase network's lifetime, number of transmitted data packet should be minimized. A solution which is suggested for decreasing transmitted data volume is aggregation. Aggregation algorithms should construct aggregation tree and transmit data to sink based on this tree. In this paper, we propose new learning automata based aggregation protocol which called Automata Energy Efficient spanning tree, AEEspan. Simulation results show that the proposed algorithm has better performance in energy efficiency which leads to higher lifetime.

引用

页码：943 / 947

页数：5