Chaos Character of Test Data Processing in Complex Wireless Sensor Network

2015 ◽  
Vol 10 (01) ◽  
Author(s):  
Changjian Deng
Keyword(s):  
Wireless Sensor Network ◽  
Data Processing ◽  
Sensor Network ◽  
Test Data ◽  
Wireless Sensor

scholarly journals An Efficient Multitask Scheduling Model for Wireless Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Hongsheng Yin ◽  
Honggang Qi ◽  
Jingwen Xu ◽  
Xin Huang ◽  
Anping He
Keyword(s):  
Wireless Sensor Network ◽  
Data Processing ◽  
Sensor Network ◽  
Queuing Theory ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Queuing Model ◽  
Average Delay ◽  
Data Packets ◽  
Proposed Model

The sensor nodes of multitask wireless network are constrained in performance-driven computation. Theoretical studies on the data processing model of wireless sensor nodes suggest satisfying the requirements of high qualities of service (QoS) of multiple application networks, thus improving the efficiency of network. In this paper, we present the priority based data processing model for multitask sensor nodes in the architecture of multitask wireless sensor network. The proposed model is deduced with the M/M/1 queuing model based on the queuing theory where the average delay of data packets passing by sensor nodes is estimated. The model is validated with the real data from the Huoerxinhe Coal Mine. By applying the proposed priority based data processing model in the multitask wireless sensor network, the average delay of data packets in a sensor nodes is reduced nearly to 50%. The simulation results show that the proposed model can improve the throughput of network efficiently.

scholarly journals Massive Collaborative Wireless Sensor Network Structure Based on Cloud Computing

2018 ◽  
Vol 14 (11) ◽  
pp. 4
Author(s):  
Qiong Ren
Keyword(s):  
Numerical Simulation ◽  
Cloud Computing ◽  
Wireless Sensor Network ◽  
Data Processing ◽  
Sensor Network ◽  
Simulation Method ◽  
Wireless Sensor ◽  
Mass Data ◽  
Numerical Simulation Method ◽  
Optimal Network

<p class="0abstract"><span lang="EN-US">To explore the wireless sensor network (WSN) structure, the cooperative WSN architecture of mass data processing based on cloud computing is studied. The technology of WSN and cloud computing is deeply discussed. The system and node structure of WSN are studied by theoretical analysis method, and the performance of the WSN is studied by using the numerical simulation method. The mass data processing technology based on Map Reduce and its application in WSN are discussed. The numerical simulation method is used to experiment on the architecture of SVC4WSN and MD4LWSN. The relationship between the optimal network number and the node communication radius at different node density is verified. Moreover, the energy and time delay </span><span lang="EN-US">Reduce </span><span lang="EN-US">path is compared with three protocols of LEACH, PEGASIS and PEDAP. The results show that the two Reduce paths have better performance in both network survival time and the total time slot of data acquisition.</span></p>

scholarly journals Data Processing and Management in IoT and Wireless Sensor Network

2020 ◽  
Vol 1712 ◽  
pp. 012002
Author(s):  
S.P. Sasirekha ◽  
A. Priya ◽  
T. Anita ◽  
P. Sherubha
Keyword(s):  
Wireless Sensor Network ◽  
Data Processing ◽  
Sensor Network ◽  
Wireless Sensor

scholarly journals Design of an Automatic Collision Avoidance System for Ships Based on Wireless Sensor Network

2018 ◽  
Vol 14 (05) ◽  
pp. 19
Author(s):  
Haohao Yuan
Keyword(s):  
Data Analysis ◽  
Wireless Sensor Network ◽  
Data Processing ◽  
Real Time ◽  
Sensor Network ◽  
Collision Avoidance ◽  
Wireless Sensor ◽  
Satellite Positioning ◽  
Collision Avoidance System ◽  
Information Collecting

The system designed is a ship collision avoidance system based on consistent use of satellite positioning technology, spread spectrum communication technology and a wireless sensor network. The system design includes: an information collecting terminal, a data processing terminal and a mobile data terminal as the three main parts. CC2530 is selected as the master chip for the information collecting terminal, and the GPS module with NEO-6M UBLOX satellite positioning function is used to obtain the latitude, longitude, heading and other information. The AS62-T30 wireless communication module is used to realize the data interaction between ships, and a 0.96-inch OLED display module is used to show the current location of the ship, thus realizing the GPS positioning data receiving, data analysis, information display, data integration and transmission, and other functions. In terms of the software in the data processing terminal, QT5 is selected as the development environment, and QtSql as the database to process and store the data packet sent by the information collecting terminal. The system has many functions including real-time data analysis and alarm, real-time location annotation, track query, route planning and weather forecasting, etc.

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