A Wireless Sensor Network Node Location Method Based on Salp Swarm Algorithm

被引：0

作者：

Shi, Xiaoxiao ^{[1
]}

Su, Jun ^{[1
]}

Ye, Zhiwei ^{[1
]}

Chen, Feng ^{[1
]}

Zhang, Pengzi ^{[1
]}

Lang, Fenghao ^{[1
]}

机构：

[1] Hubei Univ Technol, Sch Comp Sci, Wuhan 430068, Peoples R China

来源：

PROCEEDINGS OF THE 2019 10TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS - TECHNOLOGY AND APPLICATIONS (IDAACS), VOL. 1 | 2019年

基金：

中国国家自然科学基金;

关键词：

intelligent sensors; wireless sensor networks; Salp Swarm Algorithm;

D O I：

10.1109/idaacs.2019.8924394

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Wireless network node location is an important technology in the field of wireless sensor network communication and Internet of Things. An important basic technology when applied. In order to improve the accuracy and location speed of node location and reduce the cost in the application process. Based on the Time Of Arrvial localization algorithm, we optimize the cost, accuracy and speed of node location by introducing SSA algorithm. In order to optimize the location cost,location accuracy and location speed in the location process, the SSA is introduced based on the original TOA node location. Firstly, it is positioned by salp swarm, that is, salp swarm obtains random distribution points, and the corresponding fitness is obtained by comparison with TOA algorithm, and then iteratively obtains node localization. The speed and accuracy of multi-target node location using SSA algorithm are tested by experiments. Compared with traditional ranging and non-ranging methods, the experimental results show that SSA is a practical node location method in wireless network node location.

引用

页码：357 / 361

页数：5

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