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>

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.

scholarly journals Development of Wireless Sensor Node Addressing and Data Packet Collision Avoidance Scheme

2019 ◽  
Vol 8 (2S6) ◽  
pp. 803-807
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Packet Collision ◽  
Autonomous Sensor ◽  
Spatially Distributed

Wireless sensor network (WSN) consists of autonomous sensor devices that are spatially distributed in a wide area. Wireless sensor network is built up from a large number of sensor nodes that are assigned to a specific tasks and most probably is monitoring and reporting tasks. However, since the network might be expanded to hundreds, thousands or even millions of sensor nodes, there will be a high chance for the data from different wireless sensor nodes to collide with one another. Therefore, a proper node addressing scheme is needed to synchronize the data packages transmissions to the sink station. In this paper, a seven bytes addressing string scheme is proposed to encapsulate the node data and assist the sink station in identifying the data packages sources. The addressing string will be created in the wireless sensor node which it contains the node ID, package ID and the node data as well. The package ID is included to detect collided packages within the network. The data packages collision is avoided by allowing the sensor node to access the RF channel and transmit the data at a random time. The experimental results reviled that the proposed scheme was successfully addressed the wireless sensor node and make node identification at the sink station easy.

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.

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.

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 Energy Efficient Clustering Protocol to Enhance Performance of Heterogeneous Wireless Sensor Network: EECPEP-HWSN

2017 ◽  
Author(s):  
Santosh Purkar ◽  
Rajkumar S. Deshpande
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Real Life ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Performance Parameters ◽  
Clustering Protocol ◽  
Heterogeneous Wireless Sensor Network ◽  
Energy Efficient Clustering

As Heterogeneous Wireless Sensor Network (HWSN) fulfill the requirements of researchers in the design of real life application to resolve the issues of unattended problem. But, the main constraint face by researchers is energy source available with sensor nodes. To prolong the life of sensor nodes and hence HWSN, it is necessary to design energy efficient operational schemes. One of the most suitable routing scheme is clustering approach, which improves stability and hence enhances performance parameters of HWSN. A novel solution proposed in this article is to design energy efficient clustering protocol for HWSN, to enhance performance parameters by EECPEP-HWSN. Propose protocol is designed with three level nodes namely normal, advance and super node respectively. In clustering process, for selection of cluster head we consider three parameters available with sensor node at run time, i.e., initial energy, hop count and residual energy. This protocol enhance the energy efficiency of HWSN, it improves performance parameters in the form of enhance energy remain in the network, force to enhance stability period, prolong lifetime and hence higher throughput. It is been found that proposed protocol outperforms than LEACH, DEEC and SEP with about 188, 150 and 141 percent respectively.

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]

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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