Application of Wireless Sensor Network in Shipping Laterite Nickel Ore Moisture Content Monitoring

2013 ◽  
Vol 336-338 ◽  
pp. 204-209
Author(s):  
Fan Chu ◽  
Ying Jun Zhang ◽  
Jiang Shen ◽  
Xue Feng Yang
Keyword(s):  
Wireless Sensor Network ◽  
Moisture Content ◽  
Sensor Network ◽  
Data Transmission ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes ◽  
Bulk Carriers ◽  
Lateritic Nickel ◽  
Specific Implementation

This paper applies wireless sensor network to the shipping laterite nickel ore moisture content monitoring, and design a set of real-time monitoring of lateritic nickel ore moisture content monitoring system in the process of actual transportation, and formulate a specific implementation plan. According to the structure of laterite nickel ore bulk carriers and the characteristics of the wireless sensor network, this paper also solve the design and layout problems of wireless sensor nodes, the problems of energy saving and data transmission from the inside cabin to the outside, etc. In addition, the system has strong portability, and can be used for monitoring in other related fields.

scholarly journals Impedance-Based Wireless Sensor Network for Metal-Protective Coating Evaluation

2013 ◽  
pp. 177-192
Author(s):  
Ronghua Yu ◽  
Qixin Zhou ◽  
Yechun Wang ◽  
Chao You
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Protective Coating ◽  
Electrochemical Impedance ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Data ◽  
Rf Transceiver ◽  
Wireless Sensor Nodes ◽  
Flowing Fluid

Researchers have been focused on the influences of flowing fluid on the corrosion of bare metals, but there is little emphasis on the degradation of metal-protective coating. Evaluating the metal-protective coating usually uses the Electrochemical Impedance Spectroscopy (EIS) method. EIS is a technique used for evaluating coating permeability or barrier performance based on the electrical impedance of coating. This paper presents a new impedance-based wireless sensor network for metal-protective coating evaluation. This wireless sensor network consists of two parts: impedance-based wireless sensor nodes and a wireless data base that are equipped with a network analyzer (AD5933) and a RF transceiver (CC1111/CC1110). In the experiment, there are three coating panels immersed in flowing deionized water (DI water) and one coating panel immersed in stationary DI water. Experimental results demonstrate that the proposed wireless sensor network is capable to evaluate the coating degrading.

Design of a Wireless Sensor Network Node Based on STM32

2013 ◽  
Vol 347-350 ◽  
pp. 1920-1923
Author(s):  
Yu Jia Sun ◽  
Xiao Ming Wang ◽  
Fang Xiu Jia ◽  
Ji Yan Yu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Network Node ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Communication Module ◽  
Design Factors

The characteristics and the design factors of wireless sensor network node are talked in this article. According to the design factors of wireless sensor network, this article will mainly point out the design of wireless sensor nodes based a Cortex-M3 Microcontroller STM32F103RE chip. And the wireless communication module is designed with a CC2430 chip. Our wireless sensor node has good performance in our test.

Optimisation of Radiation Beam in Linear Nodes Array of Wireless Sensor Network for Improved Performance

2012 ◽  
pp. 215-225
Author(s):  
N. N. N. Abd. Malik ◽  
M. Esa ◽  
S. K. S. Yusof ◽  
S. A. Hamzah ◽  
M. K. H. Ismail
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Linear Array ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Communication Link ◽  
Radiation Beam ◽  
Wireless Sensor Nodes ◽  
Position Errors ◽  
Improved Performance

This chapter presents an intelligent method of optimising the radiation beam of wireless sensor nodes in Wireless Sensor Network (WSN). Each node has the feature of a monopole antenna. The optimisation involves selection of nodes to be organised as close as possible to a uniform linear array (ULA) in order to minimise the position errors, which will improve the radiation beam reconfiguring performance. Instead of utilising random beamforming, which needs a large number of sensor nodes to interact with each other and form a narrow radiation beam, the developed optimisation algorithm is emphasized to only a selected number of sensor nodes which can construct a linear array. Thus, the method utilises radiation beam reconfiguration technique to intelligently establish a communication link in a WSN.

Target Tracking in Wireless Sensor Network

2020 ◽  
pp. 857-880
Author(s):  
Madhuri Rao ◽  
Narendra Kumar Kamila
Keyword(s):  
Wireless Sensor Network ◽  
Target Tracking ◽  
Sensor Network ◽  
Traffic Control ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Matlab Simulation ◽  
Wireless Sensor Nodes ◽  
Habitat Monitoring ◽  
Emergency Rescue

Wireless Sensor nodes are being employed in various applications like in traffic control, battlefield, and habitat monitoring, emergency rescue, aerospace systems, healthcare systems and in intruder tracking recently. Tracking techniques differ in almost every application of Wireless Sensor Network (WSN), as WSN is itself application specific. The chapter aims to present the current state of art of the tracking techniques. It throws light on how mathematically target tracking is perceived and then explains tracking schemes and routing techniques based on tracking techniques. An insight of how to code localization techniques in matlab simulation tool is provided and analyzed. It further draws the attention of the readers to types of tracking scenarios. Some of the well established tracking techniques are also surveyed for the reader's benefit. The chapter presents with open research challenges that need to be addressed along with target tracking in wireless sensor networks.

scholarly journals Impedance-Based Wireless Sensor Network for Metal-Protective Coating Evaluation

2011 ◽  
Vol 1 (3) ◽  
pp. 25-39 ◽  
Author(s):  
Ronghua Yu ◽  
Qixin Zhou ◽  
Yechun Wang ◽  
Chao You
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Protective Coating ◽  
Electrochemical Impedance ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Data ◽  
Rf Transceiver ◽  
Wireless Sensor Nodes ◽  
Flowing Fluid

Researchers have been focused on the influences of flowing fluid on the corrosion of bare metals, but there is little emphasis on the degradation of metal-protective coating. Evaluating the metal-protective coating usually uses the Electrochemical Impedance Spectroscopy (EIS) method. EIS is a technique used for evaluating coating permeability or barrier performance based on the electrical impedance of coating. This paper presents a new impedance-based wireless sensor network for metal-protective coating evaluation. This wireless sensor network consists of two parts: impedance-based wireless sensor nodes and a wireless data base that are equipped with a network analyzer (AD5933) and a RF transceiver (CC1111/CC1110). In the experiment, there are three coating panels immersed in flowing deionized water (DI water) and one coating panel immersed in stationary DI water. Experimental results demonstrate that the proposed wireless sensor network is capable to evaluate the coating degrading.

Mobile Nodes Deployment Scheme Design Based on Perceived Probability Model in Heterogeneous Wireless Sensor Network

2014 ◽  
Vol 26 (5) ◽  
pp. 616-621 ◽  
Author(s):  
Ningning Wu ◽  
◽  
Juwei Zhang ◽  
Qiangyi Li ◽  
Shiwei Li ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Probability Model ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Network Nodes ◽  
Heterogeneous Wireless Sensor Network ◽  
Perceived Probability

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00260005/10.jpg"" width=""200"" /> Nodes moving direction in our scheme</div> Wireless sensor network nodes deployment optimization problem is studied and wireless sensor nodes deployment determines its capability and lifetime. The nodes deployment scheme based on the perceived probability model aiming at wireless sensor network nodes which are randomly deployed is designed. The scheme can be used to calculate the perceived probability in the area around wireless sensor network nodes and move the wireless sensor nodes to the low perceived probability area according to the current energy of the wireless sensor node. The simulation results show that this deployment scheme achieves the goal of the nodes reasonable distribution by improving the network coverage and reducing the nodes movement distance and energy consumption. </span>

Arrangement of Sensor Nodes for Wireless Sensor Network in Aquatic Products Breeding

2014 ◽  
Vol 989-994 ◽  
pp. 3433-3436
Author(s):  
Bing Shi ◽  
Shou Kun Xu ◽  
Jian Ming Jiang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Transmission ◽  
Pond Water ◽  
Sensor Nodes ◽  
Space Distribution ◽  
Wireless Sensor ◽  
Key Factors ◽  
Distribution Law ◽  
Water Testing

In order to overcome the disadvantages of ccomplexity of monitoring systems, inconvenience of installation for equipment and wiring, high error rate of data transmission, the technology of wireless sensor network is adopted. Through analysis of pond water testing results on the space distribution of water environmental factors, and the number and location of the sensor nodes is determined based on the distribution law of key factors. Experiments show that the system has higher accuracy and stability.

scholarly journals Secured Data Transmission and Malicious Node Detection in Wireless Sensor Network

2019 ◽  
Vol 8 (6) ◽  
pp. 1062-1069
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Transmission ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Malicious Nodes ◽  
Secure Data Transmission ◽  
Fuzzy C Means Clustering

Wireless Sensor Network (WSN) is developed extremely because of their low installation cost and various applications. WSN has compact and inexpensive sensor nodes for monitoring the physical environment. WSNs are susceptible to many attacks (e.g. malicious nodes) because of its distinct characteristics. The performance of node and network is affected by the malicious nodes. Moreover, the communication among the sensor nodes also required to be secured for preventing the data from the hackers. In this paper, the architecture of the WSN is generated by using the Fuzzy-C-Means clustering (FCM). Then the detection of the malicious nodes is performed by using the Acknowledgement Scheme (AS). This AS is integrated in the Ant Colony Optimization (ACO) based routing for avoiding the malicious nodes while generating the route from the source to the Base Station (BS). Then the Hybrid Encryption Algorithm (HEA) is used for performing the secure data transmission through the network and this proposed method is named as HEA-AS. The performance of the HEA-AS method is evaluated in terms of End to End Delay (EED), network lifetime, throughput, Packet Delivery Ratio (PDR) and Packet Loss Ratio (PLR). The proposed HEA-AS method is compared with the existing method called as CTCM to evaluate the effectiveness of the HEA-AS method.

scholarly journals A wireless sensor network for high-tech agriculture

2020 ◽  
Vol 3 (4) ◽  
pp. 259-270
Author(s):  
Nhan Chi Nguyen ◽  
Hoang Huy Nguyen ◽  
Tuan Ngoc Pham
Keyword(s):  
Wireless Sensor Network ◽  
Power Consumption ◽  
Low Power ◽  
Sensor Network ◽  
Data Transmission ◽  
Urban Environments ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
High Tech ◽  
Area Network

This paper presents the design of wireless sensor network (WSN) based on low-power wide area network technology for high-tech agriculture. This WSN allows the farmer to collect data such as air temperature, air humidity, soil moisture. The WSN system consists of components: 02 wireless sensor nodes, 01 gateway, 01 cloud server and smartphone app. This WSN tested for data transmission in two zones: zone 1 (dense urban environments) at a distance of 500m and zone 2 (urban environments - less obstacles) at a distance of 1,500m and 1,700m. The data collected at different times of the day and updated every 15 minutes. The results show that the wireless sensor network system operates stably, data constantly updated to LoRa Server and there was not data packet loss. The power consumption of sensor node and gateway determined in three operating modes: transmitting, receiving, turn-off. This shows the advantages of LoRa technology in the development of wireless sensor network which is the distance of data transmission distance and low power consumption. Besides this WSN also tested in the net house of aquaponics of the Research Center for High-tech Application in Agriculture (RCHAA), University of Science, Vietnam National University-HCM. The results show that the WSN system is working reliably and promising which brings significantly benefits to smart agriculture as aquaponics, clean vegetable farms, aquaculture farms…

scholarly journals Transmission Power Control with the Guaranteed Communication Reliability in WSN

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Dae-Young Kim ◽  
Zilong Jin ◽  
Jungwook Choi ◽  
Ben Lee ◽  
Jinsung Cho
Keyword(s):  
Wireless Sensor Network ◽  
Power Control ◽  
Sensor Network ◽  
Data Transmission ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Power ◽  
Efficient Data ◽  
Communication Reliability

In a wireless sensor network, sensor nodes are deployed in an ad hoc fashion and they deliver data packets using multihop transmission. However, transmission failures occur frequently in the multihop transmission over wireless media. Thus, a loss recovery mechanism is required to provide end-to-end reliability. In addition, because the sensor nodes are very small devices and have insufficient resources, energy-efficient data transmission is crucial for prolonging the lifetime of a wireless sensor network. This paper proposes a transmission power control mechanism for reliable data transmission, which satisfies communication reliability through recovery of lost packets. The proposed method calculates packet reception rate (PRR) of each hop to maintain end-to-end packet delivery rate (PDR), which is determined based on the desired communication reliability. Then, the transmission power is adjusted based on the PRR to reduce energy consumption. The proposed method was evaluated through extensive simulations, and the results show that it leads to more energy-efficient data transmission compared to existing methods.

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