Wireless Sensor Network for Real Time Healthcare Monitoring: Network Design and Performance Evaluation Simulation

Author(s):  
Minh-Thanh Vo ◽  
T. T. Thanh Nghi ◽  
Van-Su Tran ◽  
Linh Mai ◽  
Chi-Thong Le
2018 ◽  
Vol 14 (01) ◽  
pp. 4
Author(s):  
Wang Weidong

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.


Author(s):  
Ibrahim Almarashdeh ◽  
Mutasem Alsmadi ◽  
Tamer Hanafy ◽  
Abdullah Albahussain ◽  
aUsama Badawi ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 966
Author(s):  
Alberto Clavijo-Rodriguez ◽  
Victor Alonso-Eugenio ◽  
Santiago Zazo ◽  
Ivan Perez-Alvarez

In this work, a real-time software-in-loop simulation technique was employed to test and analyse an underwater wireless sensor network. This simulation should facilitate the deployment of the real network and helps guarantee the network’s expected behaviour. We study duplicated packets, one-way delay, and power consumption to analyse the network’s leading parameters. Evaluating production-ready software in simulated conditions eases effective deployment. This method will ultimately allow us to establish these parameters, test the software before the deployment, and have an excellent understanding of the network’s behaviour.


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