scholarly journals Computer simulation algorithm of gymnastics formation change path based on wireless sensor

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Bingxin Chen ◽  
Lifei Kuang ◽  
Wei He
Keyword(s):  
Computer Simulation ◽  
Control Method ◽  
Rapid Development ◽  
Mobile Node ◽  
Wireless Sensor ◽  
Target Point ◽  
Simulation Algorithm ◽  
Mobile Nodes ◽  
Loop Control ◽  
Beacon Node

AbstractToday with the rapid development of the information age, the exchange of science and technology has brought closer the closeness of countries, and our country has also begun to conduct in-depth research on WSN. This research mainly discusses the computer simulation algorithm of gymnastics formation change path based on wireless sensor. In this research, an improved Leader-Follower method is designed. In the research of gymnastics formation transformation of mobile nodes in the wireless sensor network environment, the traditional three types of nodes are divided into four categories according to the different formation responsibilities, namely, coordinator, beacon node, master mobile node (Leader), slave mobile node (Follower). After it accurately locates itself with the help of the information of the beacon node, the information should be sent out in the form of broadcast, and the coordinator sends the information to the host computer through the serial port for tracking display. In order to enable the mobile nodes in the network to keep the current gymnastic formation moving toward the target point after completing the gymnastic formation transformation, this paper uses the l-φ closed-loop control method to modify the gymnastic formation in real time. The method based on the received signal strength is selected to realize the positioning of the beacon node to the mobile node, and combined with the positioning engine in the core processor CC2431 of the mobile node, efficient and low-energy wireless positioning can be realized. Multiple mobile nodes coordinate with each other to control communication between each node in a wireless manner, and sense their own heading angle information through geomagnetic sensors, so as to make judgments and adjustments on the maintenance and transformation of the current gymnastics formation. During the formation change, after analysis, it is concluded that the maximum offset of Follower2 from the ideal path in the process of traveling to the desired position in the triangular queue is + 0.28 m. This research effectively realized the computer simulation of autonomous formation.

scholarly journals Computer Simulation Algorithm of Gymnastics Formation Change Path Based on Wireless Sensor

2021 ◽  
Author(s):  
Bingxin Chen ◽  
Lifei Kuang ◽  
Wei He
Keyword(s):  
Computer Simulation ◽  
Control Method ◽  
Rapid Development ◽  
Mobile Node ◽  
Wireless Sensor ◽  
Target Point ◽  
Simulation Algorithm ◽  
Mobile Nodes ◽  
Loop Control ◽  
Beacon Node

Abstract Today, with the rapid development of information age, the communication of science and technology is getting closer to each other, and our country has begun to conduct in-depth research on WSN. This study mainly discusses the computer simulation algorithm of gymnastics formation transformation path based on wireless sensor. In this study, an improved leader follower method is designed. In the research of gymnastics formation transformation of mobile nodes in wireless sensor network environment, the traditional three types of nodes are divided into four categories according to different formation responsibilities, namely coordinator, beacon node, leader and follower. When it makes accurate positioning with the help of beacon node information, it will send the information in the form of broadcast, and then the coordinator will send the information to the host computer through the serial port for tracking display. In order to make the mobile nodes in the network keep the current gymnastics formation moving towards the target point after completing the gymnastics formation transformation, this paper uses the L - φ closed-loop control method to modify the gymnastics formation in real time. The method based on the received signal strength is used to locate the mobile node. Combined with the positioning engine in the core processor CC2431 of the mobile node, the efficient and low-energy wireless positioning can be realized. Multiple mobile nodes coordinate and control each other, and each node communicates with each other through wireless mode, and senses its own heading angle information through geomagnetic sensor, so as to judge and adjust the maintenance and transformation of the current gymnastics formation. In the process of formation transformation, the analysis shows that the maximum offset of follower2 relative to the ideal path is + 0.28M in the process of marching to the desired position in the triangle queue. This research effectively realizes the computer simulation of autonomous formation.

scholarly journals A Hierarchical Voting Based Mixed Filter Localization Method for Wireless Sensor Network in Mixed LOS/NLOS Environments

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2348 ◽  
Author(s):  
Yan Wang ◽  
Jinquan Hang ◽  
Long Cheng ◽  
Chen Li ◽  
Xin Song
Keyword(s):  
Kalman Filter ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Unscented Kalman Filter ◽  
Rapid Development ◽  
Mobile Node ◽  
Wireless Sensor ◽  
Line Of Sight ◽  
Time Of Arrival ◽  
Localization Method

In recent years, the rapid development of microelectronics, wireless communications, and electro-mechanical systems has occurred. The wireless sensor network (WSN) has been widely used in many applications. The localization of a mobile node is one of the key technologies for WSN. Among the factors that would affect the accuracy of mobile localization, non-line of sight (NLOS) propagation caused by a complicated environment plays a vital role. In this paper, we present a hierarchical voting based mixed filter (HVMF) localization method for a mobile node in a mixed line of sight (LOS) and NLOS environment. We firstly propose a condition detection and distance correction algorithm based on hierarchical voting. Then, a mixed square root unscented Kalman filter (SRUKF) and a particle filter (PF) are used to filter the larger measurement error. Finally, the filtered results are subjected to convex optimization and the maximum likelihood estimation to estimate the position of the mobile node. The proposed method does not require prior information about the statistical properties of the NLOS errors and operates in a 2D scenario. It can be applied to time of arrival (TOA), time difference of arrival (TDOA), received signal (RSS), and other measurement methods. The simulation results show that the HVMF algorithm can efficiently reduce the effect of NLOS errors and can achieve higher localization accuracy than the Kalman filter and PF. The proposed algorithm is robust to the NLOS errors.

Improving Area Coverage With Mobile Nodes in Wireless Sensor Networks

2021 ◽  
Vol 13 (1) ◽  
pp. 36-48
Author(s):  
Dhruvi Patel ◽  
Arunita Jaekel
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Node ◽  
Mobile Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Mobile Nodes ◽  
Area Of Interest ◽  
Adequate Coverage ◽  
Considerable Work

Wireless sensor networks (WSN) consist of sensor nodes that detect relevant events in their vicinity and relay this information for further analysis. Considerable work has been done in the area of sensor node placement to ensure adequate coverage of the area of interest. However, in many applications it may not be possible to accurately place individual sensor nodes. In such cases, imprecise placement can result in regions, referred to as coverage holes, that are not monitored by any sensor node. The use of mobile nodes that can ‘visit' such uncovered regions after deployment has been proposed in the literature as an effective way to maintain adequate coverage. In this paper, the authors propose a novel integer linear programming (ILP) formulation that determines the paths the mobile node(s) should take to realize the specified level of coverage in the shortest time. The authors also present a heuristic algorithm that can be used for larger networks.

scholarly journals A Triple-Filter NLOS Localization Algorithm Based on Fuzzy C-means for Wireless Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1215 ◽  
Author(s):  
Long Cheng ◽  
Yifan Li ◽  
Yan Wang ◽  
Yangyang Bi ◽  
Liang Feng ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Unscented Kalman Filter ◽  
Rapid Development ◽  
Residual Analysis ◽  
Wireless Sensor ◽  
Identification Algorithm ◽  
Localization Algorithm ◽  
Mobile Nodes ◽  
Localization Accuracy ◽  
Fuzzy C Means

With the rapid development of communication technology in recent years, Wireless Sensor Network (WSN) has become a promising research project. WSN is widely applied in a number of fields such as military, environmental monitoring, space exploration and so on. The non-line-of-sight (NLOS) localization is one of the most essential techniques for WSN. However, the NLOS propagation of WSN is largely influenced by many factors. Hence, a triple filters mixed Kalman Filter (KF) and Unscented Kalman Filter (UKF) voting algorithm based on Fuzzy-C-Means (FCM) and residual analysis (TF-FCM) has been proposed to cope with this problem. Firstly, an NLOS identification algorithm based on residual analysis is used to identify NLOS errors. Then, an NLOS correction algorithm based on voting and NLOS errors classification algorithm based on FCM are used to process the NLOS measurements. Hard NLOS measurements and soft NLOS measurements are classified by FCM classification. Secondly, KF and UKF are applied to filter two categories of NLOS measurements. Thirdly, maximum likelihood localization (ML) is employed to estimate the position of mobile nodes. The simulation result confirms that the accuracy and robustness of TF-FCM are better than IMM, UKF and KF. Finally, an experiment is conducted to test and verify our algorithm which obtains higher localization accuracy.

The Site Visualization and Closed-Loop Control for 3D Assembly Process

2014 ◽  
Vol 621 ◽  
pp. 617-626
Author(s):  
Peng Zhang ◽  
Jin Song Bao ◽  
Zhi Bo Yang ◽  
Feng Chun Huang
Keyword(s):  
Closed Loop ◽  
Control Method ◽  
Rapid Development ◽  
Three Dimensional ◽  
Design Stage ◽  
Closed Loop Control ◽  
Assembly Process ◽  
Process Technology ◽  
Loop Control ◽  
3D Assembly

With the rapid development of 3D CAD technology, 3D assembly process is playing an important role in the on-site assembly. A closed-loop control method and three-dimensional site visualization technology site is presented. The methodology takes into account CAD design stage, assembly process design, site assembly and site inspection. The method includes three key technologies: the verification process technology of three-dimensional assembly process, optimization and process simulation techniques of site assembly, closed-loop control technology of assembly process quality inspection. Finally, the method and technology has applied in the actual assembly, and achieved good results.

scholarly journals A Hybrid Mobile Node Localization Algorithm Based on Adaptive MCB-PSO Approach in Wireless Sensor Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-17 ◽  
Author(s):  
Hua Wu ◽  
Ju Liu ◽  
Zheng Dong ◽  
Yang Liu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Three Dimensional ◽  
Mobile Node ◽  
Global Optimum ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Mobile Nodes ◽  
Node Localization ◽  
Localization Accuracy

In this paper, a hybrid adaptive MCB-PSO node localization algorithm is proposed for three-dimensional mobile wireless sensor networks (MWSNs), which considers the random mobility of both anchor and unknown nodes. An improved particle swarm optimization (PSO) approach is presented with Monte Carlo localization boxed (MCB) to locate mobile nodes. It solves the particle degeneracy problem that appeared in traditional MCB. In the proposed algorithm, a random waypoint model is incorporated to describe random movements of anchor and unknown nodes based on different time units. An adaptive anchor selection operator is designed to improve the performance of standard PSO for each particle based on time units and generations, to maintain the searching ability in the last few time units and particle generations. The objective function of standard PSO is then reformed to make it obtain a better rate of convergence and more accurate cost value for the global optimum position. Furthermore, the moving scope of each particle is constrained in a specified space to improve the searching efficiency as well as to save calculation time. Experiments are made in MATLAB software, and it is compared with DV-Hop, Centroid, MCL, and MCB. Three evaluation indexes are introduced, namely, normalized average localization error, average localization time, and localization rate. The simulation results show that the proposed algorithm works well in every situation with the highest localization accuracy, least time consumptions, and highest localization rates.

scholarly journals A New Association Scheme for Handling Node Mobility in Cluster-Tree Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5694
Author(s):  
Rogério Casagrande ◽  
Ricardo Moraes ◽  
Carlos Montez ◽  
Francisco Vasques ◽  
Erico Leão
Keyword(s):  
Ieee 802.15.4 ◽  
Mobile Node ◽  
Wireless Sensor ◽  
Monitoring Systems ◽  
Node Mobility ◽  
Distributed Monitoring ◽  
Mobile Nodes ◽  
Handover Procedure ◽  
Communication Environments ◽  
Time Required

Node mobility in multi-hop communication environments is an important feature of Wireless Sensor Network (WSN)-based monitoring systems. It allows nodes to have freedom of movement, without being restricted to a single-hop communication range. In IEEE 802.15.4 WSNs, nodes are only able to transfer data messages after completing a connection with a coordinator through an association mechanism. Within this context, a handover procedure needs to be executed by a mobile node whenever there is a disconnection from a coordinator and the establishment of a connection to another one. Many applications, such as those found in health monitoring systems, strongly need support for node mobility without loss of data during the handover. However, it has been observed that the time required to execute the handover procedure is one of the main reasons why IEEE 802.15.4 cannot fully support mobility. This paper proposes an improvement to this procedure using a set of combined strategies, such as anticipation of both the handover mechanism and the scan phase enhancement. Simulations show that it is possible to reduce latency during the association and re-association processes, making it feasible to develop WSN-based distributed monitoring systems with mobile nodes and stringent time constraints.

scholarly journals An Efficient Localization Method for Mobile Nodes in Wireless Sensor Networks

2017 ◽  
Vol 13 (03) ◽  
pp. 160 ◽  
Author(s):  
Zhiyu Qiu ◽  
Lihong Wu ◽  
Peixin Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Monte Carlo ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Mobile Node ◽  
Wireless Sensor ◽  
Mobile Nodes ◽  
Node Localization ◽  
Location Algorithm

<p style="margin: 1em 0px; -ms-layout-grid-mode: char;"><span style="font-family: Times New Roman; font-size: medium;">With the development of electronic technology and communication protocols, wireless sensor network technology is developing rapidly. In a sense, the traditional static wireless sensor network has been unable to meet the needs of new applications. However, the introduction of mobile nodes extends the application of wireless sensor networks, despite the technical challenges. Because of its flexibility, the mobile wireless sensor network has attracted great attention, and even small, self-controlled mobile sensor devices have appeared. At present, mobile node localization has become one of the hotspots in wireless sensor networks. As the storage energy of wireless sensor network nodes is limited, and the communication radius is small, many scientists have focused their research direction on the location algorithm of mobile nodes. According to the continuity principle of mobile node movement, in this paper we propose an improved mobile node localization algorithm based on the Monte Carlo Location (MCL) algorithm, and the method can reduce the sampling interval effectively. First of all, this paper introduces the structure and classification of wireless sensor localization technology. Secondly, the principle of the Monte Carlo Location algorithm is described in detail. Thirdly, we propose an efficient method for mobile node localization based on the MCL algorithm. Finally, the effectiveness and accuracy of the new algorithm are verified by comparative analysis.</span></p>

Mobility Adaptive Energy Efficient and Low Latency MAC for Wireless Sensor Networks

2013 ◽  
Vol 4 (2) ◽  
pp. 40-54
Author(s):  
Bilal Muhammad Khan ◽  
Rabia Bilal
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Simulation Analysis ◽  
Mobile Node ◽  
Mac Protocols ◽  
Wireless Sensor ◽  
Low Latency ◽  
Sleep Mode ◽  
Mobile Nodes

In this paper a high throughput, low latency, mobility adaptive and energy efficient medium access protocol (MAC) called Mobility Adaptive (MA) for wireless sensor networks. MA-MAC ensures that transmissions incur no collisions, and allows nodes to undergo sleep mode whenever they are not transmitting or receiving. It uses delay allocation scheme based on traffic priority at each node and avoids allocating same backoff delay for more than one node unless they are in separate clusters. It also allows nodes to determine when they can switch to sleep mode during operation. MA-MAC for mobile nodes provides fast association between the mobile node and the cluster coordinator. The proposed MAC performs well in both static and mobile scenarios, which shows its significance over existing MAC protocols proposed for mobile applications. The performance of MA-MAC is evaluated through extensive simulation, analysis and comparison with other mobility aware MAC protocols. The results show that MA-MAC outperforms significantly the existing CSMA/CA, Sensor Mac (S-MAC), Mobile MAC (MOB-MAC), Mobility aware Delay sensitive MAC (MD-MAC) and Dynamic Sensor MAC (DS-MAC) protocols including throughput, latency and energy consumption.

An Efficient Approach for Modeling and Control of a Quadrotor

2016 ◽  
Vol 4 (2) ◽  
pp. 1-16
Author(s):  
Ahmed S. Khusheef
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Mechanical Design ◽  
Loop Control ◽  
Modeling And Control ◽  
Loop Control System ◽  
And Control ◽  
Close Loop Control ◽  
Close Loop Control System ◽  
Made In

 A quadrotor is a four-rotor aircraft capable of vertical take-off and landing, hovering, forward flight, and having great maneuverability. Its platform can be made in a small size make it convenient for indoor applications as well as for outdoor uses. In model there are four input forces that are essentially the thrust provided by each propeller attached to each motor with a fixed angle. The quadrotor is basically considered an unstable system because of the aerodynamic effects; consequently, a close-loop control system is required to achieve stability and autonomy. Such system must enable the quadrotor to reach the desired attitude as fast as possible without any steady state error. In this paper, an optimal controller is designed based on a Proportional Integral Derivative (PID) control method to obtain stability in flying the quadrotor. The dynamic model of this vehicle will be also explained by using Euler-Newton method. The mechanical design was performed along with the design of the controlling algorithm. Matlab Simulink was used to test and analyze the performance of the proposed control strategy. The experimental results on the quadrotor demonstrated the effectiveness of the methodology used.

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