Log in

Relevant bibliographies by topics / Assembly Line, Wireless Sensor Network, Localization / Journal articles

To see the other types of publications on this topic, follow the link: Assembly Line, Wireless Sensor Network, Localization.

Journal articles on the topic 'Assembly Line, Wireless Sensor Network, Localization'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 31 journal articles for your research on the topic 'Assembly Line, Wireless Sensor Network, Localization.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Gogolák, László, Igor Fürstner, and Szilveszter Pletl. "Wireless sensor network based localization in industrial environments." Analecta Technica Szegedinensia 8, no. 1 (2014): 91–96. http://dx.doi.org/10.14232/analecta.2014.1.91-96.

Full text

Abstract:

The use of wireless devices has greatly increased in the last decade, and it has been one of the most widely used medium of information transmission. Within the wireless devices the wireless sensor networks are the most contemporary and most commonly researched field. The work deals with the industrial use of wireless sensor networks and more precisely with monitoring and controlling industrial assembly lines. The focus of this study is localization by the use of wireless technology in the above mentioned environment. In the experiment wireless sensors are placed on the base elements of curren

APA, Harvard, Vancouver, ISO, and other styles

2

Gogolák, László, and Igor Fürstner. "Wireless Sensor Network Aided Assembly Line Monitoring According to Expectations of Industry 4.0." Applied Sciences 11, no. 1 (2020): 25. http://dx.doi.org/10.3390/app11010025.

Full text

Abstract:

Striving for excellence during the assembling process through incorporating the expectations of Industry 4.0 requires complex information management on issues of overall system status, especially the physical characteristics and position of the parts being assembled, as well as the assembling units and tools. This research introduces both an overall customized assembling system supervision model, which is based on a modified four-layer control system hierarchy that suits the specific requirements of such systems and the developed wireless sensor network technology for assembling process manage

APA, Harvard, Vancouver, ISO, and other styles

3

Yan, Xiaoyong, Aiguo Song, Jimin Yu, and Zhong Yang. "Toward Collinearity-Avoidable Localization for Wireless Sensor Network." Journal of Sensors 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/908956.

Full text

Abstract:

In accordance with the collinearity problem during computation caused by the beacon nodes used for location estimation which are close to be in the same line or same plane, two solutions are proposed in this paper: the geometric analytical localization algorithm based on positioning units and the localization algorithm based on the multivariate analysis method. The geometric analytical localization algorithm based on positioning units analyzes the topology quality of positioning units used to estimate location and provides quantitative criteria based on that; the localization algorithm based o

APA, Harvard, Vancouver, ISO, and other styles

4

Jiang, Pei, Xue Liang Pang, and Li Dong. "Survey on Mobile Target Localization in Wireless Sensor Networks." Applied Mechanics and Materials 738-739 (March 2015): 133–39. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.133.

Full text

Abstract:

As a novel technology of information acquisition and processing, Wireless Sensor Network (WSN) has been widely used for complex large-scale localization tasks. With global distribution and sensing ability, wireless sensor network can provide valid optimal localization for mobile targets. According to the key problems of mobile target localization under wireless sensor network, this paper depicted current research status in both of line-of-sight and non-line-of-sight environments. Typical and representative algorithms are sorted and their ideas are evaluated. Finally, we discussed and anticipat

APA, Harvard, Vancouver, ISO, and other styles

5

Cheng, Long, Mingkun Xue, Ze Liu, and Yong Wang. "A Robust Tracking Algorithm Based on a Probability Data Association for a Wireless Sensor Network." Applied Sciences 10, no. 1 (2019): 6. http://dx.doi.org/10.3390/app10010006.

Full text

Abstract:

As one of the core technologies of the Internet of Things, wireless sensor network technology is widely used in indoor localization systems. Considering that sensors can be deployed to non-line-of-sight (NLOS) environments to collect information, wireless sensor network technology is used to locate positions in complex NLOS environments to meet the growing positioning needs of people. In this paper, we propose a novel time of arrival (TOA)-based localization scheme. We regard the line-of-sight (LOS) environment and non-line-of-sight environment in wireless positioning as a Markov process with

APA, Harvard, Vancouver, ISO, and other styles

6

Zhang, Hanqing, and Haitao Li. "Node Localization Technology of Wireless Sensor Network Based on RSSI Algorithm." International Journal of Online Engineering (iJOE) 12, no. 10 (2016): 51. http://dx.doi.org/10.3991/ijoe.v12i10.6206.

Full text

Abstract:

<p style="margin: 0in 0in 10pt;"><span style="-ms-layout-grid-mode: line;"><span style="font-family: Times New Roman; font-size: small;">Wireless sensor network, as one of the system compositions of the Internet of Things, is an important carrier of the efficient use of rural resources. An accurate localization algorithm is of great significance to the complete coverage of the farmland monitoring area and to ensure the connectivity of the whole network. This paper carries out an experiment based on the signal intensities of network nodes of wireless sensor in different farmla

APA, Harvard, Vancouver, ISO, and other styles

7

Fan, Jianhua, Tao Liang, Tongxiang Wang, and Jianwei Liu. "Identification and Localization of the Jammer in Wireless Sensor Networks." Computer Journal 62, no. 10 (2019): 1515–27. http://dx.doi.org/10.1093/comjnl/bxz055.

Full text

Abstract:

Abstract Wireless sensor network can be easily attacked by jammers for its shared character and open access to the wireless channel. Jamming attack could produce a significant threat to the network by interrupting the normal transmission of nodes. To this end, several anti-jamming countermeasures have been proposed to improve the quality of service of the wireless sensor network. As an important building block for anti-jamming countermeasures, the estimation of jammer’s location could provide us a possible way to eliminate jammers artificially. However, existing localization algorithms mainly

APA, Harvard, Vancouver, ISO, and other styles

8

Hua, Jingyu, Yejia Yin, Weidang Lu, Yu Zhang, and Feng Li. "NLOS Identification and Positioning Algorithm Based on Localization Residual in Wireless Sensor Networks." Sensors 18, no. 9 (2018): 2991. http://dx.doi.org/10.3390/s18092991.

Full text

Abstract:

The problem of target localization in WSN (wireless sensor network) has received much attention in recent years. However, the performance of traditional localization algorithms will drastically degrade in the non-line of sight (NLOS) environment. Moreover, variable methods have been presented to address this issue, such as the optimization-based method and the NLOS modeling method. The former produces a higher complexity and the latter is sensitive to the propagating environment. Therefore, this paper puts forward a simple NLOS identification and localization algorithm based on the residual an

APA, Harvard, Vancouver, ISO, and other styles

9

., R. Divya. "LOCALIZATION BASED RANGE MAP STITCHING IN WIRELESS SENSOR NETWORK UNDER NON-LINE-OF-SIGHT ENVIRONMENTS." International Journal of Research in Engineering and Technology 03, no. 05 (2014): 248–52. http://dx.doi.org/10.15623/ijret.2014.0305047.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Li, Qiyue, Baoyu Chu, Zhong Wu, et al. "RMDS: Ranging and multidimensional scaling–based anchor-free localization in large-scale wireless sensor networks with coverage holes." International Journal of Distributed Sensor Networks 13, no. 8 (2017): 155014771772465. http://dx.doi.org/10.1177/1550147717724659.

Full text

Abstract:

Sensor node localization is a crucial aspect of many location-related applications that utilize wireless sensor networks. Among the many studies in the literature, multidimensional scaling-based localization techniques have been proven to be efficient, obtaining high accuracy with lower information requirements. However, when applied to large-scale wireless sensor networks with coverage holes, which are common in many scenarios, such as underground mines, the transmission path can become deviated, degrading the localization performance of this type of connectivity-based technique. Furthermore,

APA, Harvard, Vancouver, ISO, and other styles

11

Chu, Hao, and Cheng-dong Wu. "A Non-Parametric Propagation Condition Identification Method and Non-Line of Sight Mitigation Algorithm for Wireless Sensor Network." Open Electrical & Electronic Engineering Journal 10, no. 1 (2016): 80–87. http://dx.doi.org/10.2174/1874129001610010080.

Full text

Abstract:

The wireless sensor network (WSN) has received increasing attention since it has many potential applications such as the internet of things and smart city. The localization technology is critical for the application of the WSN. The obstacles induce the larger non-line of sight (NLOS) error and it may decrease the localization accuracy. In this paper, we mainly investigate the non-line of sight localization problem for WSN. Firstly, the Pearson's chi-squared testing is employed to identify the propagation condition. Secondly, the particle swarm optimization based localization method is proposed

APA, Harvard, Vancouver, ISO, and other styles

12

Mr. Rahul Sharma. "Monitoring of Drainage System in Urban Using Device Free Localization Neural Networks and Cloud computing." International Journal of New Practices in Management and Engineering 7, no. 04 (2018): 08–14. http://dx.doi.org/10.17762/ijnpme.v7i04.69.

Full text

Abstract:

Wireless Sensor Network is a Wi-Fi community consisting of spatially propagated and self-sufficient devices using sensors to detect physical or environmental conditions. During heavy rainfall, the urban drainage system cannot drain the water. A wireless sensor with many interconnected wireless sensor nodes captures real-time data from the network environment and transmits this data to a base station for analysis and operation. With wireless sensor nodes, it is possible to capture and monitor the amount of water in drainages and the difference in water flow between the two points in the drainag

APA, Harvard, Vancouver, ISO, and other styles

13

Bhat, Soumya J., and K. V. Santhosh. "Is Localization of Wireless Sensor Networks in Irregular Fields a Challenge?" Wireless Personal Communications 114, no. 3 (2020): 2017–42. http://dx.doi.org/10.1007/s11277-020-07460-6.

Full text

Abstract:

Abstract Wireless sensor networks have been considered as an emerging technology for numerous applications of cyber-physical systems. These applications often require the deployment of sensor nodes in various anisotropic fields. Localization in anisotropic fields is a challenge because of the factors such as non-line of sight communications, irregularities of terrains, and network holes. Traditional localization techniques, when applied to anisotropic or irregular fields, result in colossal location estimation errors. To improve location estimations, this paper presents a comparative analysis

APA, Harvard, Vancouver, ISO, and other styles

14

Gharghan, Sadik, Saleem Mohammed, Ali Al-Naji, et al. "Accurate Fall Detection and Localization for Elderly People Based on Neural Network and Energy-Efficient Wireless Sensor Network." Energies 11, no. 11 (2018): 2866. http://dx.doi.org/10.3390/en11112866.

Full text

Abstract:

Falls are the main source of injury for elderly patients with epilepsy and Parkinson’s disease. Elderly people who carry battery powered health monitoring systems can move unhindered from one place to another according to their activities, thus improving their quality of life. This paper aims to detect when an elderly individual falls and to provide accurate location of the incident while the individual is moving in indoor environments such as in houses, medical health care centers, and hospitals. Fall detection is accurately determined based on a proposed sensor-based fall detection algorithm

APA, Harvard, Vancouver, ISO, and other styles

15

Arbula, Damir, and Sandi Ljubic. "Indoor Localization Based on Infrared Angle of Arrival Sensor Network." Sensors 20, no. 21 (2020): 6278. http://dx.doi.org/10.3390/s20216278.

Full text

Abstract:

Accurate, inexpensive, and reliable real-time indoor localization holds the key to the full potential of the context-aware applications and location-based Internet of Things (IoT) services. State-of-the-art indoor localization systems are coping with the complex non-line-of-sight (NLOS) signal propagation which hinders the use of proven multiangulation and multilateration methods, as well as with prohibitive installation costs, computational demands, and energy requirements. In this paper, we present a novel sensor utilizing low-range infrared (IR) signal in the line-of-sight (LOS) context pro

APA, Harvard, Vancouver, ISO, and other styles

16

Yu, Xiaosheng, Peng Ji, Ying Wang, and Hao Chu. "Mean Shift-Based Mobile Localization Method in Mixed LOS/NLOS Environments for Wireless Sensor Network." Journal of Sensors 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/5325174.

Full text

Abstract:

Mobile localization estimation is a significant research topic in the fields of wireless sensor network (WSN), which is of concern greatly in the past decades. Non-line-of-sight (NLOS) propagation seriously decreases the positioning accuracy if it is not considered when the mobile localization algorithm is designed. NLOS propagation has been a serious challenge. This paper presents a novel mobile localization method in order to overcome the effects of NLOS errors by utilizing the mean shift-based Kalman filter. The binary hypothesis is firstly carried out to detect the measurements which conta

APA, Harvard, Vancouver, ISO, and other styles

17

Cheng, Long, Sihang Huang, Mingkun Xue, and Yangyang Bi. "A Robust Localization Algorithm Based on NLOS Identification and Classification Filtering for Wireless Sensor Network." Sensors 20, no. 22 (2020): 6634. http://dx.doi.org/10.3390/s20226634.

Full text

Abstract:

With the rapid development of information and communication technology, the wireless sensor network (WSN) has shown broad application prospects in a growing number of fields. The non-line-of-sight (NLOS) problem is the main challenge to WSN localization, which seriously reduces the positioning accuracy. In this paper, a robust localization algorithm based on NLOS identification and classification filtering for WSN is proposed to solve this problem. It is difficult to use a single filter to filter out NLOS noise in all cases since NLOS cases are extremely complicated in real scenarios. Therefor

APA, Harvard, Vancouver, ISO, and other styles

18

Hu, Nan, Chuan Lin, Fangjun Luan, Chengdong Wu, Qi Song, and Li Chen. "A mobile localization method based on a robust extend Kalman filter and improved M-estimation in Internet of things." International Journal of Distributed Sensor Networks 16, no. 9 (2020): 155014772096123. http://dx.doi.org/10.1177/1550147720961235.

Full text

Abstract:

As the key technology for Internet of things, wireless sensor networks have received more attentions in recent years. Mobile localization is one of the significant topics in wireless sensor networks. In wireless sensor network, non-line-of-sight propagation is a common phenomenon leading to the growing non-line-of-sight error. It is a fatal impact for the localization accuracy of the mobile target. In this article, a novel method based on the nearest neighbor variable estimation is proposed to mitigate the non-line-of-sight error. First, the linear regression model of the extended Kalman filte

APA, Harvard, Vancouver, ISO, and other styles

19

Galajda, Pavol, Alena Galajdova, Stanislav Slovak, et al. "Robot vision ultra-wideband wireless sensor in non-cooperative industrial environments." International Journal of Advanced Robotic Systems 15, no. 4 (2018): 172988141879576. http://dx.doi.org/10.1177/1729881418795767.

Full text

Abstract:

In this article, the ultra-wideband technology for localization and tracking of the robot gripper (behind the obstacles) in industrial environments is presented. We explore the possibilities of ultra-wideband radar sensor network employing the centralized data fusion method that can significantly improve tracking capabilities in a complex environment. In this article, we present ultra-wideband radar sensor network hardware demonstrator that uses a new wireless ultra-wideband sensor with an embedded controller to detect and track online or off-line movement of the robot gripper. This sensor use

APA, Harvard, Vancouver, ISO, and other styles

20

Wang, Yan, Jinquan Hang, Long Cheng, Chen Li, and Xin Song. "A Hierarchical Voting Based Mixed Filter Localization Method for Wireless Sensor Network in Mixed LOS/NLOS Environments." Sensors 18, no. 7 (2018): 2348. http://dx.doi.org/10.3390/s18072348.

Full text

Abstract:

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 e

APA, Harvard, Vancouver, ISO, and other styles

21

Ye, Tingcong, Michael Walsh, Peter Haigh, John Barton, Alan Mathewson, and Brendan O’Flynn. "An Experimental Evaluation of IEEE 802.15.4a Ultra Wide Band Technology for Precision Indoor Ranging." International Journal of Ambient Computing and Intelligence 4, no. 2 (2012): 48–63. http://dx.doi.org/10.4018/jaci.2012040104.

Full text

Abstract:

Ultra Wide Band (UWB) wireless transmission has recently been the object of considerable attention in the field of next generation location aware wireless sensor networks (WSNs). This is due to its fine time resolution, energy efficiency and robustness to interference in harsh environments. This paper presents a thorough applied examination of prototype IEEE 802.15.4a impulse UWB transceiver technology to quantify the effect of line of sight (LOS) and non line of sight (NLOS) ranging in real indoor and outdoor environments. The results included draw on an extensive array of experiments that fu

APA, Harvard, Vancouver, ISO, and other styles

22

Jing, Nan, Yu Sun, Lin Wang, and Jinxin Shan. "Fine-grained wireless propagation ambience sensing." International Journal of Distributed Sensor Networks 14, no. 10 (2018): 155014771880469. http://dx.doi.org/10.1177/1550147718804699.

Full text

Abstract:

The ubiquitous wireless network infrastructure and the need of people’s indoor sensing inspire the work leveraging wireless signal into broad spectrum for indoor applications, including indoor localization, human–computer interaction, and activity recognition. To provide an accurate model selection or feature template, these applications take the system reliability of the signal in line-of-sight and non-line-of-sight propagation into account. Unfortunately, these two types of signal propagation are analyzed in static or mobile scenario separately. Our question is how to use the wireless signal

APA, Harvard, Vancouver, ISO, and other styles

23

Wen, Wu Song, and Lu Wang. "Path Planning of Mobile Beacon for Localization Based on Distribution of Unknown Nodes." Advanced Materials Research 712-715 (June 2013): 1933–37. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.1933.

Full text

Abstract:

For wireless sensor network (WSN), without full consideration of the influences of unknown nodes distribution and density when planning beacons moving path, most of existing localization methods have lower efficiency. In this paper, beacon model is presented according to the theory of equal distance 3-optimal-coverage, a new heuristic path planning method is proposed for the ROI in which unknown nodes distribute randomly and the node density is limited, this proposed method can make on-line decision for the moving direction and distance over every step. Simulations show that the proposed schem

APA, Harvard, Vancouver, ISO, and other styles

24

Cheng, Long, Yifan Li, Yan Wang, Yangyang Bi, Liang Feng, and Mingkun Xue. "A Triple-Filter NLOS Localization Algorithm Based on Fuzzy C-means for Wireless Sensor Networks." Sensors 19, no. 5 (2019): 1215. http://dx.doi.org/10.3390/s19051215.

Full text

Abstract:

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 prop

APA, Harvard, Vancouver, ISO, and other styles

25

T.I, Onyeyili, Alumona T.L, and Nwizu C.U. "Improving the Tracking Performance of a Wireless Sensor Network on a Water Pipe Line Using Leak Detection and Localization Technique." IJARCCE 8, no. 11 (2019): 61–67. http://dx.doi.org/10.17148/ijarcce.2019.81112.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Wang, Yubo, Weimin Yang, Zheng Wang, Wenjun Zhou, Liang Li, and Hongsen Zou. "Location of Moving Targets in Substation Non-Line-of-Sight Environment." Sensors 19, no. 23 (2019): 5321. http://dx.doi.org/10.3390/s19235321.

Full text

Abstract:

In substations, a localization system based on a wireless sensor network (WSN) is a challenge, because the propagation of the measured signal could be blocked by various devices. In other words, non-line-of-sight (NLOS) propagation, where the signal propagation path is occluded, will affect measurement accuracy. A novel localization method based on a two-step weighted least squares and a probability distribution function is proposed to reduce the influence of NLOS error on the localization result. In this method, the initial multi-group localization result is obtained by the two-step weight we

APA, Harvard, Vancouver, ISO, and other styles

27

Cheng, Long, Yong Wang, Mingkun Xue, and Yangyang Bi. "An Indoor Robust Localization Algorithm Based on Data Association Technique." Sensors 20, no. 22 (2020): 6598. http://dx.doi.org/10.3390/s20226598.

Full text

Abstract:

As a key technology of the Internet of Things, wireless sensor network (WSN) has been used widely in indoor localization systems. However, when the sensor is transmitting signals, it is affected by the non-line-of-sight (NLOS) transmission, and the accuracy of the positioning result is decreased. Therefore, solving the problem of NLOS positioning has become a major focus for indoor positioning. This paper focuses on solving the problem of NLOS transmission that reduces positioning accuracy in indoor positioning. We divided the anchor nodes into several groups and obtained the position informat

APA, Harvard, Vancouver, ISO, and other styles

28

Popescu, Dan, Cristian Dragana, Florin Stoican, Loretta Ichim, and Grigore Stamatescu. "A Collaborative UAV-WSN Network for Monitoring Large Areas." Sensors 18, no. 12 (2018): 4202. http://dx.doi.org/10.3390/s18124202.

Full text

Abstract:

Large-scale monitoring systems have seen rapid development in recent years. Wireless sensor networks (WSN), composed of thousands of sensing, computing and communication nodes, form the backbone of such systems. Integration with unmanned aerial vehicles (UAVs) leads to increased monitoring area and to better overall performance. This paper presents a hybrid UAV-WSN network which is self-configured to improve the acquisition of environmental data across large areas. A prime objective and novelty of the heterogeneous multi-agent scheme proposed here is the optimal generation of reference traject

APA, Harvard, Vancouver, ISO, and other styles

29

Wang, Yan, Huihui Jie, and Long Cheng. "A Fusion Localization Method based on a Robust Extended Kalman Filter and Track-Quality for Wireless Sensor Networks." Sensors 19, no. 17 (2019): 3638. http://dx.doi.org/10.3390/s19173638.

Full text

Abstract:

As one of the most essential technologies, wireless sensor networks (WSNs) integrate sensor technology, embedded computing technology, and modern network and communication technology, which have become research hotspots in recent years. The localization technique, one of the key techniques for WSN research, determines the application prospects of WSNs to a great extent. The positioning errors of wireless sensor networks are mainly caused by the non-line of sight (NLOS) propagation, occurring in complicated channel environments such as the indoor conditions. Traditional techniques such as the e

APA, Harvard, Vancouver, ISO, and other styles

30

Zhu, Quan Zheng, Le Yang, and Wei Li. "Simple and Robust RSSI Estimation Using M-Estimator." Advanced Materials Research 756-759 (September 2013): 3946–51. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.3946.

Full text

Abstract:

Accurate estimation of the received signal strength indicator (RSSI) from a set of sequentially measured ones is essential for a number of practical applications including link quality evaluation for sensor network routing, indoor wireless localization and more recently, handover in health monitoring systems. This paper develops a simple and robust RSSI estimation algorithm that can effectively mitigate the magnitude variation in the RSSI measurements due to the combined effects of fast fading and non-line-of-sight (NLOS) signal propagation. The new method is based on the robust M-estimator an

APA, Harvard, Vancouver, ISO, and other styles

31

Jatlaoui, Mohamed Mehdi, Daniela Dragomirescu, Mariano Ercoli, et al. "Wireless communicating nodes at 60 GHz integrated on flexible substrate for short-distance instrumentation in aeronautics and space." International Journal of Microwave and Wireless Technologies 4, no. 1 (2011): 109–17. http://dx.doi.org/10.1017/s1759078711000961.

Full text

Abstract:

This paper presents the research done at LAAS-CNRS and in the context of “NANOCOMM” project. This project aims to demonstrate the potential of nanotechnology for the development of reconfigurable, ultra-sensitive, low consumption, and easy installation sensor networks with high performance in terms of reliability in line with the requirements of aeronautics and space. Each node of the sensor network is composed of nano-sensors, transceiver, and planar antenna. In this project, three-dimensional (3D) heterogeneous integration of these different components, on flexible polyimide substrate, is pl

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!