Wireless network node of LED street lamps

2015 ◽  
Author(s):  
Deng Huaqiu ◽  
Xiao Li ◽  
Xue Huaqiang
Keyword(s):  
Wireless Network ◽  
Network Node

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.

Optimization of wireless network node deployment in smart city based on adaptive particle swarm optimization

2020 ◽  
Vol 39 (4) ◽  
pp. 4959-4969
Author(s):  
Weiqiang Wang
Keyword(s):  
Particle Swarm Optimization ◽  
Wireless Network ◽  
Smart City ◽  
Smart Cities ◽  
Particle Swarm ◽  
Network Node ◽  
Swarm Optimization ◽  
Network Nodes ◽  
Node Deployment ◽  
Multi Objective

In smart city wireless network infrastructure, network node deployment directly affects network service quality. This problem can be attributed to deploying a suitable ordinary AP node as a wireless terminal access node on a given geometric plane, and deploying a special node as a gateway to aggregate. Traffic from ordinary nodes is to the wired network. In this paper, Pareto multi-objective optimization strategy is introduced into the wireless sensor network node security deployment, and an improved multi-objective particle swarm coverage algorithm based on secure connection is designed. Firstly, based on the mathematical model of Pareto multi-objective optimization, the multi-target node security deployment model is established, and the security connectivity and node network coverage are taken as the objective functions, and the problems of wireless sensor network security and network coverage quality are considered. The multi-objective particle swarm optimization algorithm is improved by adaptively adjusting the inertia weight and particle velocity update. At the same time, the elite archive strategy is used to dynamically maintain the optimal solution set. The high-frequency simulation software Matlab and simulation platform data interaction are used to realize the automatic modeling, simulation analysis, parameter prediction and iterative optimization of wireless network node deployment in smart city based on adaptive particle swarm optimization. Under the premise of meeting the performance requirements of wireless network nodes in smart cities, the experimental results show that although the proposed algorithm could not achieve the accuracy of using only particle swarm optimization algorithm to optimize the parameters of wireless network nodes in smart cities, the algorithm is completed. The antenna parameter optimization process takes less time and the optimization efficiency is higher.

Compositive Evaluation for Node Importance of Wireless Network

2011 ◽  
Vol 186 ◽  
pp. 210-214
Author(s):  
Bin Chen ◽  
Guo You Chen ◽  
Zhi Xue Wang
Keyword(s):  
Wireless Network ◽  
Evaluation Method ◽  
Network Node ◽  
Method Evaluation ◽  
Crucial Issue ◽  
Evaluation Result ◽  
Evaluation Indexes ◽  
Single Index ◽  
Node Importance ◽  
Radar Chart

For design and maintenance of wireless network, node importance evaluation is a crucial issue. But if we evaluate it with single index, result may be unilateral. If we evaluate it with different indexes simultaneously, inconsistent of results may occur. To solve these problems, a compositive evaluation method based on radar chart is proposed as well as relevant evaluation indexes. With this method, evaluation indexes are showed graphically and node importance is evaluated from different viewpoints. In this way, a compositive evaluation result can be gotten according to the size of area shaped by connection of these index values in the chart. The Application of the proposed method is showed by an example case.

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.

Research on Optimization Selection Algorithm of Track and Field Based on Adaptive Wireless Sensor Network Node Speed

2014 ◽  
Vol 556-562 ◽  
pp. 5690-5694
Author(s):  
Li Lv
Keyword(s):  
Wireless Network ◽  
Search Algorithm ◽  
Particle Swarm ◽  
Track And Field ◽  
Network Node ◽  
Adaptive Search ◽  
Design Algorithm ◽  
Optimization Task ◽  
3D Space ◽  
The Stability

By using the adaptive search algorithm of particle swarm layout, we optimize 3D space nodes of wireless network, and obtain the optimum mathematical model of particle swarm optimization distribution of nodes in wireless network. Using the tree structure and the wireless network hardware equipment we design algorithm the optimization platform of track and field technique. In order to verify the stability and reliability of platform running, we use the wireless network node division method and transmission time groups of control network to control athlete’s technical movement. And we use Java technology to calculate the athlete’s action to verify the stability. Through calculation, for the same optimization task, the time of adaptive search algorithm is short, and the search is less, which is a rapid and effective optimization algorithm.

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