InterCriteria Analysis of Different Variants of ACO Algorithm for Wireless Sensor Network Positioning

被引：0

作者：

Fidanova, Stefka ^{[1
]}

Roeva, Olympia ^{[2
]}

机构：

[1] BAS, Inst Informat & Commun Technol, Acad G Bonchev Str,Bl 25A, Sofia 1113, Bulgaria

[2] BAS, Inst Biophys & Biomed Engn, Acad G Bonchev Str,Bl 105, Sofia 1113, Bulgaria

来源：

NUMERICAL METHODS AND APPLICATIONS, NMA 2018 | 2019年 / 11189卷

关键词：

Ant Colony Optimization; InterCriteria Analysis; Wireless Sensor Network;

D O I：

10.1007/978-3-030-10692-8_10

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Wireless sensor networks are formed by spatially distributed sensors, which communicate in a wireless way. This network can monitor various kinds of environment and physical conditions like movement, noise, light, humidity, images, chemical substances etc. A given area needs to be fully covered with minimal number of sensors and the energy consumption of the network needs to be minimal too. We propose several algorithms, based on Ant Colony Optimization, to solve the problem. We study the algorithms behaviour when the number of ants varies from 1 to 10. We apply InterCriteria analysis to study relations between proposed algorithms and number of ants and analyse correlation between them.

引用

页码：88 / 96

页数：9

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