The Wireless Network Routing Protocols and Data Communication Methods for Multiple Sensor Information Used in Mining Mechanical

2014 ◽  
Vol 621 ◽  
pp. 288-293
Author(s):  
Meng Wang ◽  
Xin Yu Tang ◽  
Wen Xiao Zeng ◽  
Jun Lin Zhou ◽  
Rong Hui Zhang
Keyword(s):  
Wireless Communication ◽  
Wireless Network ◽  
Channel Model ◽  
Data Communication ◽  
Network Routing ◽  
Wireless Channel ◽  
Wireless Sensor ◽  
Transmission Model ◽  
Network Node ◽  
Research Results

In view of the development of wireless sensor system data transmission model in mine mechanical, we construct a ground reflection model of double path combined with the actual background demand based on the analysis of the wireless network routing protocol. Firstly, we put forward the selection strategy on wireless communication transmission power of multiple information sensor nodes. To build a data communication mode, we proposed the selection and evaluation method of network parameters based on graph theory. In consideration of the wireless channel model, combined with the initial random layout problem of network node, we explore whether to be neighbors between any two nodes arranged at random and the constraint relationship of wireless communication distance between nodes. Finally, we make up a dynamic routing selection algorithm with a view to dynamic nodes, and conduct the simulation analysis and experiment design. The research results show that with the increase of the random movement speed about network nodes, the process of depleting the energy of the nodes in the wireless sensor network speeds up, which explain the protocol given in the paper requires more energy to cope with the problem that the network topology changes frequently because of the random motion of nodes in network. The research results provide a reference to the wireless network node research and design in the electromechanical integration design.

scholarly journals Erasure channel modelling–based secure bit allocation schemes for multipath routing in wireless sensor networks

2016 ◽  
Vol 12 (12) ◽  
pp. 155014771668360
Author(s):  
Zhenhua Yuan ◽  
Chen Chen ◽  
Ye Jin
Keyword(s):  
Energy Efficiency ◽  
Channel Model ◽  
Multipath Routing ◽  
Optimal Solution ◽  
Wireless Channel ◽  
Bit Allocation ◽  
Wireless Sensor ◽  
Routing Scheme ◽  
Erasure Channel ◽  
Binary Erasure Channel

In this article, we study secure multipath routing with energy efficiency for a wireless sensor network in the presence of eavesdroppers. We consider two objectives: (1) the multipath routing scheme for maximising the energy efficiency with security constraints and (2) the multipath routing scheme for maximising the secrecy capacity. The binary erasure channel model is adopted to describe the wireless channel states among neighbouring nodes. Based on the binary erasure channel model, the problem of multipath routing degrades to a problem of bit allocation for each path. We formulate the problems and find that the problems are both quasi-convex. For the first one, it is a linear fractional optimisation problem. The optimal solution is obtained by the Charnes–Cooper transformation. For the second one, we propose an iterative algorithm to obtain the [Formula: see text]-optimal solution. The performance analysis shows that the probability of the secure bit allocation increases along with the number of multipaths and decreases along with the number of hops per path and eavesdroppers. Simulation results are presented to illustrate the proposed algorithms.

The Design of WinCE Driver of WSN Nodes Based on ARM

2014 ◽  
Vol 556-562 ◽  
pp. 6058-6062 ◽  
Author(s):  
Jin Wu Ju
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Basic Structure ◽  
Network Routing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Network Node ◽  
Intelligent Sensor ◽  
Hardware Interface

Wireless sensor network (WSN) is the network which is composed of a large number of intelligent sensor nodes, it has the ability of self-organizing network routing, therefore, it has been widely used. Building wireless sensor networks is the key to WSN nodes. This paper introduces the basic structure of wireless sensor network node based on ARM, and it delivers a detailed analysis on the operating features and the CC2480 hardware interface of the ZigBee processor, what’s more, it specifically talks about the implementation of the Wince driver of WSN nodes.

scholarly journals Design and Implementation of a Wireless Sensor Network Node Based on Arduino

2017 ◽  
Vol 13 (11) ◽  
pp. 128 ◽  
Author(s):  
Yang Wang
Keyword(s):  
Wireless Sensor Network ◽  
Wireless Communication ◽  
Sensor Network ◽  
Information Acquisition ◽  
Communication Protocol ◽  
Functional Module ◽  
Wireless Sensor ◽  
Network Node ◽  
Network Nodes ◽  
Communication Program

<p><span style="font-family: 宋体; font-size: medium;">For dealing with the limitations and deficiencies of present wireless sensor network nodes, including poor flexibility, low degree of variability, low generality, Arduino development advantages are combined with ZigBee wireless communication technologies characteristics. The versatility and flexibility of wireless sensor network nodes and the cost and energy consumption of nodes are studied. First of all, ZigBee communication protocol and networking technology are studied, and based on this, communication protocols that the subjects need are designed. Secondly, the hardware system of ZigBee wireless sensor network node based on Arduino technology is discussed and designed. In addition, suitable Arduino development panel is selected in accordance with requirements of ZigBee wireless sensor network node. With the development panel as the design prototype, the circuit of functional module is designed. Thirdly, based on the wireless sensor network node communication protocol and hardware design, the software system of wireless sensor network node is designed and realized. The results showed that, through designing reasonable software working flow and compiling efficient information acquisition and wireless communication program, the intelligence orientation of node information acquisition and information transmission is achieved. In a word, it can be concluded that, combined with Arduino, a better function can be achieved.</span></p>

The Analysis of Wireless Channel in the Workshop of Chemical Water Treatment in Power Plant

2012 ◽  
Vol 424-425 ◽  
pp. 728-731
Author(s):  
Ren Shu Wang ◽  
Yan Bai ◽  
Yi Xin Xu ◽  
Cheng Yan Xu ◽  
Qiu Ling Li
Keyword(s):  
Wireless Sensor Networks ◽  
Water Treatment ◽  
Power Plant ◽  
Wireless Communication ◽  
Bit Error Rate ◽  
Error Rate ◽  
Path Loss ◽  
Wireless Channel ◽  
Wireless Sensor ◽  
Chemical Water

As the performance of the wireless sensor networks is sensitive to the environment of the application, the analysis of wireless channel is carried out in the workshop of the chemical water treatment in power plant. With the power of noise and received signals sampled, the path-loss exponent γ is derived to establish the model of the wireless channel. To meet the requirement of the performance of wireless communication, such as a given bit error rate (BER), the upper bound of the distance between transmitter and receiver is also presented. At last, the conclusion is given.

Design and Implementation of Minimum Hop Routing Algorithm with Reliability Assurance for WSN

2011 ◽  
Vol 268-270 ◽  
pp. 975-980 ◽  
Author(s):  
Xuan He ◽  
Hai Zhao ◽  
Bi Ju Yu ◽  
Jian Zhu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Network Routing ◽  
Wireless Channel ◽  
Wireless Sensor ◽  
Specific Factor ◽  
Hop Count ◽  
Routing Strategy ◽  
Filter Mechanism

Design of wireless sensor network routing protocol is still a problem that should be solved quickly. Although there are many achievements in this field, they all focus on single one property of WSN( Wireless Sensor Network) such as delay, hop count, energy consumption and so on. Dealing with the distinctive features of wireless channel, a routing strategy named MHRR( Minimum Hop Routing algorithm with Reliability assurance) based on AODV is proposed. Firstly, this paper provides a method which preserves multiple optimum routes by broadcasting and responding data frame; secondly, a routing filter mechanism is proposed to enhance the reliability of the network. At last, the optimum route can be chosen by specific factor in different situations. Experiments show that MHRR strategy is competent to deal with dynamic and bandwidth constrained WSN in reliability and delay.

scholarly journals The Development of FPGA-based Wireless Channel Simulator using LabVIEW

2013 ◽  
Vol 64 (3) ◽  
Author(s):  
Nor Aswani Mamat ◽  
Razali Ngah ◽  
Uche A.K Chude Okonkwo ◽  
Muhamad Asmi Ramli
Keyword(s):  
Wireless Communication ◽  
Doppler Shift ◽  
Channel Model ◽  
Wireless Channel ◽  
Communication Link ◽  
Good Communication ◽  
Time Frequency ◽  
Channel Simulation ◽  
Increasing Demand ◽  
Channel Simulator

The development of channel model for wireless communication system is currently becoming important to fulfill the entire user’s requirements and increasing demand where to provide a good communication link between the users at everywhere and anytime. An accurate techniques or operator is needed to model a very flexible channel for wireless communication application. Previous channel model is developed based on the time-frequency operator which is limited to Narrowband signaling. This operator uses Doppler shift to account for mobility in propagation space. This paper proposes a Wideband channel model which is valid for all kind of signaling and conditions. Mathematical channel model is used to represent a generic channel simulator which is implemented as channel simulator. The development and measurement of channel simulator is using LabVIEW. The LabVIEW can be used as basic software and can be turned into hardware part by connecting to other devices for real-time channel simulation. The illustration and snapshot of the channel simulator modeling in term of LabVIEW code program are presented.

scholarly journals Enhancing and Securing the Routing Techniques in Wireless Sensor Networks

2020 ◽  
pp. 141-145
Author(s):  
Rupinder Singh
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Network ◽  
Denial Of Service ◽  
Wireless Sensor ◽  
Physical Parameters ◽  
Network Node ◽  
Jamming Attacks ◽  
Proposed Model ◽  
Node Network

A wireless network node network (WSN) is defined as being composed of a large number of small light weighted nodes called network node nodes with routing, processing and communication facilities, which are densely deployed in physical or environmental condition. Each of these nodes collects data and its purpose is to route this information back to a sink. WSN is highly constrained type of network, having network node nodes with more capabilities. All network node nodes in the wireless network node network are interact with each other by intermediated network node nodes. Physical parameters computations are power, energy, memory, communication range and bandwidth. Wireless ad-hoc networks mainly use broadcast communication. Upon deployment, network node nodes automatically collaborate and form a network, start collecting data without any input from the user. The proposed model has been improved for the route metric calculation along with node and link load availability information module to avoid the connectivity loopholes and link congestions. The proposed model results have been obtained in the form of various network performance parameters such as network load, transmission delay, throughput, energy consumption, etc. In wireless sensor networks, there are many types of attacks that can hinder or obstruct the data to be deliver to the authenticated node so in order to check which node is authenticated various algorithms have been proposed. There are various attacks like Denial of Service, Distributed Denial of Service and various types of Jamming attacks that can disrupt or deny the communication between sender and receiver. It is important to develop some powerful tools for network analysis, design and managing the performance optimization of the network. In this paper some of the most common attacks and threats are explained and the prevention that can be taken by using various tools is implemented. Also the different routes are configured if the particular route is not available. All the nodes and the attacks are been shown by using a simulator NS2.

Design for Irrigation Control System Based on ZigBee Wireless Network

2013 ◽  
Vol 846-847 ◽  
pp. 301-304
Author(s):  
Xin Wang ◽  
He Pan ◽  
Jian Yang ◽  
Zhi Gang Liu
Keyword(s):  
Control System ◽  
Wireless Sensor Network ◽  
Water Resources ◽  
Sensor Network ◽  
Wireless Network ◽  
Wireless Sensor ◽  
Network Node ◽  
System Realization ◽  
Irrigation Control ◽  
Specific Implementation

Aimed at the shortage water resources and demand for water-saving irrigation in our country, this paper puts forward an irrigation control system realization method by using wireless sensor network on the basis of Zigbee wireless network. And then, this paper shows the specific implementation details. Through the preliminary experiments, it has been proved that this system can accurately obtain data from network node. Besides, the system is stable so that it has certain application value.

scholarly journals Wireless Sensor Network routing for Life Time Maximization Using ANFIS Based Decision with Low Power Consumption

2021 ◽  
Vol 12 (2) ◽  
pp. 2893-2900
Author(s):  
N. Srinivas Rao, Et. al.
Keyword(s):  
Sensor Network ◽  
Network Performance ◽  
Cluster Head ◽  
Data Communication ◽  
Life Time ◽  
Network Routing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Micro Sensor ◽  
Routing Methods

Wireless sensor networks (WSNs) allocate thousands of cheap micro-sensor nodes to a hundreds to more than thousands of nodes in the reserved areas. In the WSN, sensor nodes control storage resources, calculating energy of nodes, power resources of nodes, and additional resources information on a sensor network. These micro-sensor nodes are key components of the Internet of Things (). WSNs are pre-arranged in clusters or groups to protect the ability for efficient data communication. Strong routing methods are required to maintain long network life and achieve high power usage. In this work, the new energy efficient ANFIS-based routing system for WSN enabled  to improve network performance. The proposed ANFIS-based routing involves a novel distributed clustering mechanism that activates the local configuration of local node energy equally across all sensors. A new technique for replacing clusters and rotating nodes with a centroid-based cluster head (CH) to distribute loads. The simulation results show that the proposed program will surpass conventional methods with 78% improvement over the lifetime of the network and 26% improvement in performance.

scholarly journals Simple Clustering for Wireless Sensor Networks

2016 ◽  
Vol 16 (1) ◽  
pp. 57-72 ◽  
Author(s):  
R. Rathna
Keyword(s):  
Wireless Sensor Networks ◽  
Big Data ◽  
Sensor Networks ◽  
Wireless Communication ◽  
Environmental Monitoring ◽  
Data Communication ◽  
Wireless Sensor ◽  
Direct Communication ◽  
Clustering Techniques ◽  
Mechanical Sensors

Abstract Traditional Wireless Sensor Networks (WSNs) are designed for connecting pure electronic or mechanical sensors through wireless communication. Nowadays, WSNs are combined with other technologies like big data and cloud for data management. While combining the sensors (low level devices) with a high end network like Internet, data communication should be taken care of in the gateway between these two networks. With this type of WSNs, if all the sensors are in direct communication with the high end network, then a lot of energy will be consumed, requiring complex protocols for making this communication possible. So, to reduce the energy wastage, the clustering concept is used in WSN. Although so many complex and innovative clustering techniques are available for WSN, this paper describes a very simple clustering technique for environmental monitoring WSN with proven results.

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