scholarly journals Sistem Akuisisi Data Suhu dan Kelembapan pada Lahan Pertanian Berbasis Wireless Sensor Network Menggunakan NRF24L01

2021 ◽  
Vol 5 (2) ◽  
pp. 75-78
Author(s):  
Hery Teguh Setiawan ◽  
Wahyu Cristianto
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Data ◽  
Wireless Sensor

Pemantauan kondisi lingkungan diperlukan agar sesuai dengan karakteristik lingkungan yang dibutuhkan tanaman. Faktor utama yang mempengaruhi pertumbuhan tanaman adalah cahaya, kelembapan, temperature, CO2, dan sebagainya. Luasnya lahan membuat kondisi lingkungan pada beberapa titik berbeda sehingga perlu adanya pemantauan kondisi lingkungan yang bisa mencakup seluruh area pertanian. Teknologi Wireless Sensor Network (WSN) memungkinkan pemantauan kondis lingkungan dalam cakupan wilayah yang luas. Topologi WSN yang digunakan dalam penelitian ini adalah topologi cluster yang terdiri dari beberapa node sensor. Data hasil pengukuran akan dikirim oleh masing-masing node ke node coordinator. Berdasarkan data hasil pengujian yang diperoleh bahwa node sensor mampu bekerja dengan baik dalam proses akuisisi data dimana dapat membaca data suhu dan kelembapan dengan error yang kecil sebesar 2%-5%, dengan rata-rata waktu tunda untuk proses pengiriman dan penerimaan data sebesar 100 – 500 milidetik, dimana jarak maksimum transceiver dalam proses pengiriman data menggunakan topologi cluster pada penelitian ini adalah sekitar 2 Km. Hasil akuisisi data suhu dan kelembaban yang didapat berkisar antara 200C - 250C dengan kelembapan berkisar antara 90%-95%.

scholarly journals Performance metrics in wireless sensor networks :a survey and outlook

2018 ◽  
Vol 7 (2.26) ◽  
pp. 25
Author(s):  
E Ramya ◽  
R Gobinath
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Performance Metrics ◽  
Resource Constraints ◽  
Sensor Data ◽  
Wireless Sensor

Data mining plays an important role in analysis of data in modern sensor networks. A sensor network is greatly constrained by the various challenges facing a modern Wireless Sensor Network. This survey paper focuses on basic idea about the algorithms and measurements taken by the Researchers in the area of Wireless Sensor Network with Health Care. This survey also catego-ries various constraints in Wireless Body Area Sensor Networks data and finds the best suitable techniques for analysing the Sensor Data. Due to resource constraints and dynamic topology, the quality of service is facing a challenging issue in Wireless Sensor Networks. In this paper, we review the quality of service parameters with respect to protocols, algorithms and Simulations. 

scholarly journals Design and Simulation of a Wireless Sensor Network Greenhouse-Monitoring System Based on 3G Network Communication

2016 ◽  
Vol 12 (05) ◽  
pp. 48 ◽  
Author(s):  
Y. H. Zhou ◽  
J. G. Duan
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Network Communication ◽  
Target Area ◽  
Wireless Communication Network ◽  
Environmental Monitoring System

A greenhouse provides a stable and suitable environment for the growth of plants. Temperature and humidity are closely related to plant growth. These factors directly affect the water content of plants and the quality of fruits. To solve the problems in the current monitoring system of greenhouse cultivation, such as complicated wiring, large node power consumption, and so on, this study proposes a wireless sensor network greenhouse-monitoring system based on third-generation network communication for the real-time monitoring of the temperature, humidity, light, and CO<sub>2</sub> concentration in a greenhouse. GS1011M is regarded as the core in developing wireless terminal nodes. PC software is used to build a real-time observation platform. Sensor data are received in real time through a wireless communication network to complete the monitoring of the target area. A simulation research is also conducted. Results show that the power dissipation of the greenhouse environmental monitoring system is low, its data accuracy is high, and its operation is stable.

scholarly journals Mining Wireless Sensor Network Data: an adaptive approach based on artificial neuralnetworks algorithm

2011 ◽  
pp. 129-135
Author(s):  
Lambodar Jena ◽  
Ramakrushna Swain ◽  
N.K. kamila
Keyword(s):  
Data Mining ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Dimensionality Reduction ◽  
Sensor Network ◽  
Power Supply ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Limited Power ◽  
Limited Power Supply

This paper proposes a layered modular architecture to adaptively perform data mining tasks in large sensor networks. The architecture consists in a lower layer which performs data aggregation in a modular fashion and in an upper layer which employs an adaptive local learning technique to extract a prediction model from the aggregated information. The rationale of the approach is that a modular aggregation of sensor data can serve jointly two purposes: first, the organization of sensors in clusters, then reducing the communication effort, second, the dimensionality reduction of the data mining task, then improving the accuracy of the sensing task . Here we show that some of the algorithms developed within the artificial neuralnetworks tradition can be easily adopted to wireless sensor-network platforms and will meet several aspects of the constraints for data mining in sensor networks like: limited communication bandwidth, limited computing resources, limited power supply, and the need for fault-tolerance. The analysis of the dimensionality reduction obtained from the outputs of the neural-networks clustering algorithms shows that the communication costs of the proposed approach are significantly smaller, which is an important consideration in sensor-networks due to limited power supply. In this paper we will present two possible implementations of the ART and FuzzyART neuralnetworks algorithms, which are unsupervised learning methods for categorization of the sensory inputs. They are tested on a data obtained from a set of several nodes, equipped with several sensors each.

scholarly journals Efficiently computing Pareto optimal G-skyline query in wireless sensor network

2021 ◽  
Vol 17 (12) ◽  
pp. 155014772110606
Author(s):  
Leigang Dong ◽  
Guohua Liu ◽  
Xiaowei Cui ◽  
Quan Yu
Keyword(s):  
Decision Making ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Synthetic Data ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Pareto Optimal ◽  
Skyline Query ◽  
Data Set ◽  
Multiple Query

There are much data transmitted from sensors in wireless sensor network. How to mine vital information from these large amount of data is very important for decision-making. Aiming at mining more interesting information for users, the skyline technology has attracted more attention due to its widespread use for multi-criteria decision-making. The point which is not dominated by any other points can be called skyline point. The skyline consists of all these points which are candidates for users. However, traditional skyline which consists of individual points is not suitable for combinations. To address this gap, we focus on the group skyline query and propose efficient algorithm to computing the Pareto optimal group-based skyline (G-skyline). We propose multiple query windows to compute key skyline layers, then optimize the method to compute directed skyline graph, finally introduce primary points definition and propose a fast algorithm based on it to compute G-skyline groups directly and efficiently. The experiments on the real-world sensor data set and the synthetic data set show that our algorithm performs more efficiently than the existing algorithms.

Design of Embedded Smart Home System Based on Internet of Things

2015 ◽  
Vol 738-739 ◽  
pp. 247-250
Author(s):  
Peng Ju Zhang ◽  
Gai Zhi Guo ◽  
Zong Zuo Yu
Keyword(s):  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Sensor Network ◽  
Smart Home ◽  
Electrical Equipment ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Real Time Control ◽  
System Solution ◽  
Automation Control

This paper presents an Embedded Smart Home system solution using the Internet of things. The Smart Home system can be sectioned into four parts: wireless sensor network, embedded smart gateway, Server and Client. The major technical of the wireless sensor network is ZigBee. The wireless sensor network is developed based on the Z-Stack protocol stack and the wireless chip CC2530. Its main work is to sensor the environmental parameter of the house and the automation control of the electrical equipment in the house. It can also support the RFID access control and camera monitor. ARM microprocessor is the core of the Embedded Smart Home control system. It adopts the embedded Linux technology, the development platform is Qt. The gateway communicates with the wireless sensor network by the serial port. It communicates with Server by the TCP socket and transmits to each client, or communicates with the client by using the wireless communication module directly. It also provides the user interface for sensor data check and real time control equipment. The server plays a role of bridge. It is mainly responsible for the communication and big data processing between the client and the control center. Partial hardware electric diagram and software flowchart were provided. Field using indicates that this system is economical and flexible.

Remote Access the ZigBee Sensor Network through the IP Network

2013 ◽  
Vol 684 ◽  
pp. 539-542
Author(s):  
Chiu Chiao Chung ◽  
Wei Shiang Weng
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Mobile Devices ◽  
Data Access ◽  
Database Systems ◽  
Remote Access ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Internet Browser ◽  
Ip Network

With the wireless communication technology and world-wide Internet, living styles have become more and more convenient and smart, especially, for the application of context-aware systems based in wireless sensor networks. Furthermore, mobile devices provide users timely information browsing and mobile data access. In this study, the ZigBee wireless sensor network combined with sensor data observed Services (Sensor data Observation Service), and PostgreSQL database systems is developed to implement a remote access ZigBee wireless sensor network through an IP Internet browser. This system includes: (a) the integration of ZigBee CC2430 sensor sensing light, humidity and temperature; (b) PostgreSQL database tools accessing data; (c) via the sensor data Observation Service (SOS ) technologies; (d) through mobile devices to master the relevant environmental information.

A Sensor Data Query Method Based on Wavelet Synopsis

2012 ◽  
Vol 468-471 ◽  
pp. 298-302
Author(s):  
Yue Liu ◽  
Chun Yan Fu ◽  
Mao Song Ge ◽  
Yong Li Wang ◽  
Hua Qi Zhao
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Communication Cost ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Challenging Problem ◽  
Data Query ◽  
Data Collecting ◽  
Approximate Query ◽  
The Cost

Accurately replying all queries of different users in Wireless Sensor Network is a challenging problem. The recent works solve this problem by approximate query based on sensor readings, For the need of precision, this model need to update frequently and the cost of communication increases very quickly. This paper proposes A sensor data query method based on wavelet synopsis, It constructs a wavelet synopsis in the process of data collecting, reduces the number of data, increases efficiency, reduces the communication cost.

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