scholarly journals Wireless Rechargeable Vehicle Based Energy Efficienct Data Transmisison In Wireless Sensor Network

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1914-1917
Keyword(s):  
Energy Transfer ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Energy Transfer ◽  
Wireless Sensor Nodes ◽  
Process Duration ◽  
Remote Sensor ◽  
Charging Efficiency

Wireless Energy Transfer technique has attracted increasing attention on authorizing the wireless sensor nodes in recent years. In this paper, we consider a remote battery-powered system where a portable charging vehicle is planned to accuse remote sensor system of hubs' arrangement confinements that may result in less charging efficiency for sensor hubs by charging vehicle. In our method, we used a charging vehicle to charge the nodes whenever needed. Instinctively, there is an unavoidable compromise between the charging distance and the vehicle. For these worries, we go for diminishing the reviving process duration, which contains the voyaging time and energizing time. To this end, we demonstrate that the charging vehicle would go along the briefest way directing. Also, we indicate ideal charging area for every remote charging occurrence.

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>

scholarly journals Security in Wireless sensor network: Approaches and Issues

2015 ◽  
Vol 15 (3) ◽  
pp. 584
Author(s):  
Raja Waseem Anwar ◽  
Majid Bakhtiari ◽  
Anazida Zainal ◽  
Kashif Naseer Qureshi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Communication Overhead ◽  
Network Resources ◽  
Communication Services ◽  
Wireless Sensor Nodes ◽  
Mass Public ◽  
Network Approaches

Wireless sensor network is a tremendous emerging technology provides communication services for environmental monitoring and target tracking for mass public and military. With increasing of this smart network popularity sensor network faced various challenges and threats. The inclusion of wireless sensor nodes also incurs different types of security threats in network. Mostly networks are using shared key approaches to make less communication overhead, but still network compromise with replay impersonation and compromise attacks. The existing proposed schemes are not fully addressed other network resources such as energy and speed, etc.  The intent of this paper is to provide a comprehensive security requirement, detail about security attacks in network and discuss the existing security schemes.

scholarly journals Future Trends in Wireless Sensor Network (WSN)

2019 ◽  
Vol 8 (6S2) ◽  
pp. 480-482
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Future Trends ◽  
Wireless Sensor Nodes ◽  
Military Application ◽  
Remote Environment

In part years wireless sensor networks (WSNs) have shown great improvement and also have become trusted areas in research. A wireless sensor networks (WSNs) is made up of many wireless sensor nodes that provides the source field and sink of a wireless network. The ability to sense the surrounding nodes, computing and connecting to other nodes wirelessly provide the wireless sensor network s(WSNs).the application of WSN is seen in many areas like military application, tracking, monitoring remote environment, surveillance, healthcare department and so on. Because of wide application the challenges for better developed technology and improvement have increased .this paper discuss some of the recent and future trends of Wireless sensor network. [1],[ 3],[5]

scholarly journals Characterization and Modeling of Received Signal Strength and Charging Time for Wireless Energy Transfer

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Uthman Baroudi ◽  
Amin-ud-din Qureshi ◽  
Samir Mekid
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Transfer ◽  
Sensor Networks ◽  
Signal Strength ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Energy Transfer ◽  
Wireless Sensor Nodes ◽  
Charging Time ◽  
Indoor And Outdoor

Wireless sensor networks can provide effective means for monitoring and controlling a wide range of applications. Recently, tremendous effort was directed towards devising sensors powered from ambient sources such as heat, wind, and vibration. Wireless energy transfer is another source that has attractive features that make it a promising candidate for supplying power to wireless sensor nodes. This paper is concerned with characterizing and modeling the charging time and received signal strength indicator for wireless energy transfer system. These parameters play a vital role in deciding the geometry of sensor network and the routing protocols to be deployed. The development of communication protocols for wireless-powered wireless sensor networks is also improved with the knowledge of such models. These two quantities were computed from data acquired at various coordinates of the harvester relative to a fixed position of RF energy source. Data was acquired for indoor and outdoor scenarios using the commercially available PowerCast energy harvester and evaluation board. Mathematical models for both indoor and outdoor environments were developed and analyzed. A few guidelines on how to use these models were suggested. Finally, the possibility of harvesting the energy from the ambient RF power to energize wireless sensor nodes was also investigated.

Target Tracking in Wireless Sensor Network

2017 ◽  
pp. 413-437
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.

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