scholarly journals Exploration of Wireless Sensor Network Based on RSSI Positioning Algorithm

2018 ◽  
Vol 14 (11) ◽  
pp. 133
Author(s):  
Shuan Liu
Keyword(s):  
Signal Strength ◽  
Wireless Sensor ◽  
Positioning Error ◽  
Network Resources ◽  
Simulation Experiments ◽  
Wormhole Attack ◽  
Positioning Method ◽  
Physical Information ◽  
Positioning Algorithm ◽  
Node Energy

<p class="0abstract"><span lang="EN-US">Based on the security of the receiving signal strength indicator positioning algorithm, the RSSI positioning algorithm in the environment of witch attack, wormhole attack and replication attack has largely failed</span><span lang="EN-US">.</span><span lang="EN-US">Although existing security </span><span lang="EN-US">positioning</span><span lang="EN-US"> algorithms can effectively prevent attacks from occurring, the massive consumption of network resources can’t be ignored.</span><span lang="EN-US">Therefore, a tolerable security positioning method is proposed for each of the three attacks in order to improve the security of positioning.</span><span lang="EN-US">According to the node's physical information, the attack node is detected.</span><span lang="EN-US">Through simulation experiments, compared with the traditional indoor security </span><span lang="EN-US">positioning</span><span lang="EN-US"> method, the proposed algorithm can significantly reduce the intervention of witch attack, wormhole attack and replication attack on positioning error.</span><span lang="EN-US">While achieving the goal of combating attacks, it reduces the computational complexity, decreases node energy consumption, and extends the network life cycle.</span></p>

Research on spatial positioning of online inspection robots for vertical storage tanks

2019 ◽  
Vol 47 (2) ◽  
pp. 187-195
Author(s):  
Zhiqiang Huang ◽  
Lei He ◽  
ZhaoXin Gao ◽  
Yingqi Jia ◽  
Yewei Kang ◽  
...  
Keyword(s):  
Storage Tank ◽  
Positioning Error ◽  
Content Type ◽  
Positioning Method ◽  
Spatial Positioning ◽  
Inspection Robots ◽  
Positioning Algorithm ◽  
Online Inspection ◽  
Technology Level ◽  
Acoustic Positioning

Purpose This paper aims to introduce a new acoustic positioning method to solve the problem of space positioning for online inspection robots within the storage tank. Design/methodology/approach The proposed positioning system comprises two acoustic signal emitters and two receivers. Emitters are brought by the robot into the storage tank. Receivers are mounted on the external edge of the storage tank floor. The spatial coordinate values and motion directions of the robot in the storage tank are calculated by using the proposed acoustic positioning algorithm. Findings The experiment results and positioning error analysis indicate that the method can obtain the data of robotic space coordinates and motion orientation, while the positioning error of the method can be less than 20 cm. The accuracy reaches the positioning technology level of other tank online inspection robots. Originality/value This method not only expands the positioning of the inspection robots from 2D plane to 3D space but also significantly reduces the number of positioning sensors carried by a robot and improves the safety of a robot in the tank.

An Improved Sensor Positioning for Wireless Sensor Networks

2014 ◽  
Vol 716-717 ◽  
pp. 1322-1325
Author(s):  
Jin Tao Lin ◽  
Guang Yu Fan ◽  
Wen Hong Liu ◽  
Ying Da Hu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Signal Strength ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Positioning Accuracy ◽  
Positioning Method ◽  
Anchor Nodes ◽  
Simulation Results ◽  
Sensor Positioning

Sensor positioning is a fundamental block in various location-dependent applications of wireless sensor networks. In order to improve the positioning accuracy without increasing the complex and cost of sensor nodes, an improve sensor positioning method is proposed for wireless sensor networks. In the method, after receiving the broadcasting message of the neighboring anchor nodes, the sensor nodes calculate a modifying factor of the change of the signal strength. And they modify the distances between themselves and neighboring anchor nodes with the modifying factor. Simulation results show that the proposed method can obtain a high positioning accuracy.

scholarly journals Development and Application of a New Positioning Algorithm for Wireless Sensor Networks

2018 ◽  
Vol 14 (10) ◽  
pp. 80
Author(s):  
Guohong Gao ◽  
Feng Wei ◽  
Jianping Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Measurement Error ◽  
Wireless Sensor ◽  
Time Of Arrival ◽  
Unknown Parameters ◽  
Positioning Method ◽  
Research Findings ◽  
Positioning Algorithm ◽  
Technical Basis

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">This paper aims to create a desirable positioning method for nodes in wireless sensor networks (WSNs). For this purpose, a source node positioning algorithm was developed based on time-of-arrival (TOA), in view of the nonlinear correlation between the measured values and unknown parameters in the observation equation of TOA source position. Several experiments were carried out to evaluate the performance of the proposed algorithm in terms of time measurement error, computing complexity, location error and Cramér–Rao lower bound (CRLB). The results show that the CRLB acquired by this algorithm can be used for WSN node positioning, provided that the independent zero mean Gauss measurement error is sufficiently small. The research findings lay a solid technical basis for optimal management, load balance, efficient routing, and automatic topology control of WSNs.</span>

An Improved Algorithm Based on LEACH Protocol

2013 ◽  
Vol 347-350 ◽  
pp. 2725-2727
Author(s):  
Wei Liu ◽  
Le Le Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Energy Utilization ◽  
Wireless Sensor ◽  
Simulation Experiments ◽  
Leach Protocol ◽  
Node Energy ◽  
Improved Algorithm

In this paper, taking into account the shortcomings of wireless sensor networks, LEACH algorithm, the algorithm has been improved on this basis. The design of the E-LEACH algorithm, which extend the network lifetime, improve node energy utilization, and the effectiveness of this algorithm through simulation experiments.

Positioning Method without Current Navigation Data

2014 ◽  
Vol 556-562 ◽  
pp. 3234-3237
Author(s):  
Ji Zhong Li ◽  
Rui Wang
Keyword(s):  
Objective Function ◽  
Mobile Station ◽  
Positioning Error ◽  
Fuzzy Algorithm ◽  
Reference Time ◽  
Navigation Data ◽  
Clock Error ◽  
Positioning Errors ◽  
Positioning Method ◽  
Positioning Algorithm

Positioning errors were found through the analysis to AGPS positioning algorithm with mobile station (MS) clock error. These errors are engendered in the process of calculating the pseudo-range. Using fuzzy algorithm, the large positioning error of several hundred kilometers was eliminated. After this method, the objective function is quadratically related to the deviation of reference time. The objective function curve were fitted with three reference time values and determined the lowest point of curve to amend the reference time. This method removed residual positioning error.

The Method of the Global Positioning Based on RSSI

2012 ◽  
Vol 198-199 ◽  
pp. 1438-1441
Author(s):  
Ming Ming Tian ◽  
Zong Jiu Zhu
Keyword(s):  
Coal Mine ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Positioning Error ◽  
Underground Coal Mine ◽  
Global Positioning ◽  
Positioning Algorithm ◽  
Received Signal Strength Indication ◽  
Vertical Positioning ◽  
Communication Radius

A novel Global Positioning Algorithm for Workers in Underground Coal Mine Based on RSSI (Received Signal Strength Indication) is proposed and implemented. The innovation of the algorithm is the RSSI optimization and GIS auxiliary positioning. The RSSI optimization can reduces the error caused when the blind code is too closed to the reference node, and GIS auxiliary positioning is to solve the problem that the number of the reference codes in the communication radius of blind code is less than three. Experimental Results Indicate that Global positioning algorithm has the average vertical positioning error less than 4m, the horizontal error less than 1/2 roadway width, and the positioning cycle less than 1s, with better positioning and tracking performance, and expands the coverage of the network of underground positioning.

Analysis of Flying Vehicle Cooperative Positioning by Sea-Surface Wireless Sensor Networks

2012 ◽  
Vol 505 ◽  
pp. 338-344
Author(s):  
Wei Ming Xu ◽  
Xiao Dong Yin ◽  
Geng Feng Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Time Synchronization ◽  
Sea Surface ◽  
Wireless Sensor ◽  
Relative Positioning ◽  
Cooperative Positioning ◽  
Positioning Method ◽  
Absolute Bias ◽  
Positioning Algorithm

Sea-surface wireless sensor networks (S2WSN) is a combination of many nodes forming a certain geometric shape, such as ships and sea-surface radio buoys. To satisfy the requirement of precise tracking for flying vehicle (FV) in times of exterior location datum outages, a cooperative positioning algorithm (CPA) for the FV is proposed. Time synchronization among the nodes is crucial to guarantee CPA. Taking a single-hop S2WSN as an example, the problem of low synchronization precision is resolved by two-way timing with unequal reply time (TWT-UTD). Monte Carlo simulation results show that, through optimizing the position dilution of precision among the sea-surface nodes and the FV, the absolute bias of the FV tracking by the proposed CPA is superior to that of the conventional single ship-based relative positioning method. Meanwhile, the synchronization precision is increased by more than 20% via TWT-UTD method.

scholarly journals A Chaotic Elite Niche Evolutionary Algorithm for Low-Power Clustering in Environment Monitoring Wireless Sensor Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Bao Liu ◽  
Rui Yang ◽  
Mengying Xu ◽  
Jie Zhou
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Low Power ◽  
Evolutionary Algorithm ◽  
Differential Evolution Algorithm ◽  
Computation Time ◽  
Wireless Sensor ◽  
Simulation Experiments ◽  
Monitoring Accuracy ◽  
Node Energy

In recent years, as people’s demand for environmental quality has increased, it has become inevitable to monitor sensitive parameters such as temperature and oxygen content. Environmental monitoring wireless sensor networks (EMWSNs) have become a research hotspot because of their flexibility and high monitoring accuracy. This paper proposes a chaotic elite niche evolutionary algorithm (CENEA) for low-power clustering in EMWSNs. To verify the performance of CENEA, simulation experiments are carried out in this paper. Through simulation experiments, CENEA was compared with shuffled frog leaping algorithm (SFLA), differential evolution algorithm (DE), and genetic algorithm (GA) in the same conditional parameters. The results show that CENEA balances node energy and improved node energy usage efficiency. CENEA’s network energy consumption is reduced by 8.3% compared to SFLA, 3.9% lower than DE, and 4.6% lower than GA. Moreover, CENEA improves the precision and minimizes the computation time.

scholarly journals An Improved Indoor Positioning Method Based on Nearest Neighbor Interpolation

2021 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Yonghao Zhao
Keyword(s):  
Nearest Neighbor ◽  
Indoor Positioning ◽  
Location Information ◽  
Positioning Error ◽  
Positioning Accuracy ◽  
Indoor Location ◽  
Sampling Points ◽  
Sampling Cost ◽  
Positioning Method ◽  
Positioning Algorithm

Nowadays, people&rsquo;s demand for indoor location information is more and more, which continuously promotes the development of indoor positioning technology. In the field of indoor positioning, fingerprint based indoor positioning algorithm still accounts for a large proportion. However, the operation of this method in the offline stage is too cumbersome and time-consuming, which makes its disadvantages obvious, and requires a lot of manpower and time to sample and maintain. Therefore, in view of this phenomenon, an improved algorithm based on nearest neighbor interpolation is designed in this paper, which reduces the measurement of actual sampling points when establishing fingerprint map. At the same time, some simulation points are added to expand fingerprint map, so as to ensure that the positioning error will not become larger or even better. Experimental results show that this method can further improve the positioning accuracy while saving the sampling cost.

Sign in / Sign up

Export Citation Format

Share Document