Received strength signal intensity performance analysis in wireless sensor network using Arduino platform and XBee wireless modules

被引：13

作者：

Cama-Pinto, Alejandro ^{[1
]}

Pineres-Espitia, Gabriel ^{[1
]}

Caicedo-Ortiz, Jose ^{[1
]}

Ramirez-Cerpa, Elkin ^{[1
]}

Betancur-Agudelo, Leonardo ^{[2
]}

Gomez-Mula, Francisco ^{[3
]}

机构：

[1] Univ Costa, Fac Engn, Calle 58 55-66, Barranquilla 080002, Colombia

[2] Univ Pontificia Bolivariana, Fac Engn, Medellin, Colombia

[3] Univ Granada, Higher Tech Sch Informat Technol & Telecommun Eng, Andalucia, Spain

来源：

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS | 2017年 / 13卷 / 07期

关键词：

XBee; wireless sensor network; radio propagation model; packet loss; received strength signal intensity level;

D O I：

10.1177/1550147717722691

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Today, through the monitoring of agronomic variables, the wireless sensor networks are playing an increasingly important role in precision agriculture. Among the emerging technologies used to develop prototypes related to wireless sensor network, we find the Arduino platform and XBee radio modules from the DIGI Company. In this article, based on field tests, we conducted a comparative analysis of received strength signal intensity levels, calculation of path loss with "log-normal shadowing" and free-space path loss models. In addition, we measure packet loss for different transmission, distances and environments with respect to an "Arduino Mega" board, and radio modules XBee PRO S1 and XBee Pro S2. The tests for the packet loss and received strength signal intensity level show the best performance for the XBee Pro S2 in the indoor, outdoor, and rural scenarios.

引用

页数：9

共 31 条

[21] Measurement and Analysis on Land-to-Ship Offshore Wireless Channel in 2.4 GHz [J].

Lee, Jae-Hyun ;

Choi, Jeongsik ;

Lee, Woong-Hee ;

Choi, Ji-Won ;

Kim, Seong-Cheol .

IEEE WIRELESS COMMUNICATIONS LETTERS, 2017, 6 (02) :222-225

[22]

Lei Xiao, 2010, 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering (CCTAE 2010), P89, DOI 10.1109/CCTAE.2010.5544354

[23]

Mahalin NH, 2009, TENCON 2009 2009 IEE, P1

[24]

Mahmoud K. H., 2013, THESIS

[25] A monitoring system for intensive agriculture based on mesh networks and the android system [J].

Montoya, Francisco G. ;

Gomez, Julio ;

Cama, Alejandro ;

Zapata-Sierra, Antonio ;

Martinez, Felipe ;

Luis De La Cruz, Jose ;

Manzano-Agugliaro, Francisco .

COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2013, 99 :14-20

[26]

Pellegrini R.M., 2011, WIR COMM VEH TECHN I, P1

[27]

Seybold JS, 2005, INTRODUCTION TO RF PROPAGATION, P1, DOI 10.1002/0471743690

[28] Environmental parameters monitoring in precision agriculture using wireless sensor networks [J].

Srbinovska, Mare ;

Gavrovski, Cvetan ;

Dimcev, Vladimir ;

Krkoleva, Aleksandra ;

Borozan, Vesna .

JOURNAL OF CLEANER PRODUCTION, 2015, 88 :297-307

[29] A LOW COST WIRELESS SENSOR NETWORK FOR LANDSLIDE HAZARD MONITORING [J].

Srinivasan, Karthik ;

Howell, Burgess ;

Anderson, Eric ;

Flores, Africa .

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, :4793-4796

[30]

Urbano-molano Aparicio F, 2012, J CIENC ING, V5, P46

← 1 2 3 4 →