JournalTOCs

International Journal of Wireless and Mobile Computing
Journal Prestige (SJR): 0.233

Citation Impact (citeScore): 1
Number of Followers: 8

Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1741-1084 - ISSN (Online) 1741-1092
Published by Inderscience Publishers

[439 journals]

Performance comparison of TOA-based indoor positioning algorithms using
ultra-wideband technology in 3D
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  Authors: B. Venkata Krishnaveni, Katam Suresh Reddy, P. Ramana Reddy
  Pages: 201 - 208
  Abstract: Although many indoor technologies with different methodologies and improvements have been proposed, indoor localisation is still a challenging work. Among all existing technologies the most promising one is ultra-wideband (UWB) technology because it is the only one that combines the benefits of accuracy, speed, safety and cost-efficiency. For a noise-free environment, mathematical technique of trilateration is best for position assessment. But in general, all the circles in trilateration method don't intersect at a single point as the number of reference points increases. So in this paper, we present the linear and non-linear algorithms which consider time of arrival (TOA) values for positioning using UWB. First the model for signal measurement and principles of positioning is explained, next the non-linear and linear methods to calculate the target location, such as NLS, ML, LLS and WLLS are given. Performance of algorithms is compared using MSE and CRLB.
  Keywords: internet of things; localisation; TOA positioning; UWB
  Citation: International Journal of Wireless and Mobile Computing, Vol. 25, No. 3 (2023) pp. 201 - 208
  PubDate: 2023-11-03T23:20:50-05:00
  DOI: 10.1504/IJWMC.2023.134659
  Issue No: Vol. 25, No. 3 (2023)
Study of adaptive clutter suppression method used for airborne
forward-looking wind shear radar
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  Authors: Jia Meng, Zhang Ye
  Pages: 209 - 214
  Abstract: The low-level wind-shear has a significant impact on aviation safety. Airborne forward-looking wind-shear weather radar detects the existence of wind-shear during the aircraft taking-off and landing by using the Doppler effect. This paper first carries on the summary analysis to the characteristic of ground clutter in the airborne foresight wind shear radar. On the concrete application to clutter suppression of the airborne predictive wind shear radar, a new adaptive clutter suppression filter based on the Least Mean Square (LMS) error is presented in this paper. This paper introduces the basic principle and working process of this kind of adaptive filter, gives the computer filter results finally. The theoretical analysis and filter results indicate that this kind of adaptive clutter suppression technology based on the LMS has good ground clutter inhibiting ability in the really low signal-to-clutter ratio (25 dB) situation. The structure of this filter is simple, and is easy to implement for the project.
  Keywords: wind shear radar; ground clutter suppression; adaptive filter; signal-to-clutter ratio
  Citation: International Journal of Wireless and Mobile Computing, Vol. 25, No. 3 (2023) pp. 209 - 214
  PubDate: 2023-11-03T23:20:50-05:00
  DOI: 10.1504/IJWMC.2023.134678
  Issue No: Vol. 25, No. 3 (2023)
Review of sensors for detecting insulating gas ozone
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 Authors: Xiaoyu Li, Pengfei Jia, Min Xu, Lin Zhang
 Pages: 215 - 224
 Abstract: Air quality monitoring and analysis has been highlighted as a significant issue at the moment. So, people began to pay more attention to the research direction of pollution gas detection equipment. Ozone (O3) is one of the primary indoor as well as environmental air pollutants. It can affect human activities and cause several health problems. Therefore, the research of pollution gas detection equipment has also begun to become the direction of interest to experts. Existing gas sensors can not only measure a range of common gases (O2, CO2, etc.), but also monitor harmful gases (SO2, NO2, CO, etc.). The existing literature mainly optimises the sensor performance by changing the sensor materials and improving the material synthesis technology, so that the sensor detects ozone more accurately and quickly. Based on the diverse types of gas sensors, this paper reviews a variety of sensors to detect O3 gas.
 Keywords: insulating gas; ozone; gas sensor; gas detection; air pollution; sensor capability; sensor material; test experiment; result comparison
 Citation: International Journal of Wireless and Mobile Computing, Vol. 25, No. 3 (2023) pp. 215 - 224
 PubDate: 2023-11-03T23:20:50-05:00
 DOI: 10.1504/IJWMC.2023.134666
 Issue No: Vol. 25, No. 3 (2023)
Performance analysis of various shortest-path routing algorithms using
RYU controller in SDN
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  Authors: Deepak Kumar, Jawahar Thakur
  Pages: 225 - 234
  Abstract: In this paper, our objective is to establish efficient routing in SDN with low latency and high throughput. To implement this research work, we have used the mininet emulator, Abilene topology, RYU controller and various shortest path algorithms such as Dijkstra (Dij), Extended Dijkstra (EDij), and Modified Extended Dijkstra (MEDij) and Round Robin (RR). Each algorithm runs separately, one by one, for 120 seconds. These algorithms are analysed in terms of throughput and latency as performance parameters by evaluating their average mean, geometric mean, and harmonic mean value to find which algorithm is the optimal choice among the above-discussed algorithms. The research work is novel because previous studies have implemented the shortest path algorithms using Floodlight or POX controller, but this study uses a Python supported RYU controller and performs better compared to previous studies. The research work done in this article can be extended to improve load balancing and security across nodes, and routing links using meta-heuristic algorithms like Particle Swarm Optimisation (PSO). There is also scope for exploring and implementing deep learning-supported QoS-based approaches for effective routing optimisation.
  Keywords: Dijkstra; latency; openflow; performance; throughput
  Citation: International Journal of Wireless and Mobile Computing, Vol. 25, No. 3 (2023) pp. 225 - 234
  PubDate: 2023-11-03T23:20:50-05:00
  DOI: 10.1504/IJWMC.2023.134667
  Issue No: Vol. 25, No. 3 (2023)
Optimisation driven generative adversarial network for course
recommendation in e-learning
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  Authors: Jobin Varghese P., R. Vijayakumar
  Pages: 235 - 249
  Abstract: This research created a mechanism for course recommendation based on collaborative filtering to categorise the attitudes. Here, the positively reviewed courses are identified using sentiment categorisation using the recommended Shuffled Shepherd Bat Optimisation-based Generative Adversarial Network (SSBO-based GAN). The input data is fed into a matrix creation process where the data-driven matrix form is created. For course grouping, the Enhanced Fuzzy C-means Method (FCM) is used. The course matching is then completed using Canberra distance and holoentropy. The GAN classifier then does the sentiment categorisation. The Bat Algorithm (BA) and the Shuffled Shepherd Optimisation Algorithm (SSOA) are combined to create the Shuffled Shepherd Bat Optimisation (SSBO), which is used to train the GAN. Positive course reviews are gleaned from categorised attitudes in this case, aiding in course selection. The suggested SSBO-based GAN displayed improved performance with an F-measure of 96.6%, a recall of 97.1% and a precision of 96.1%.
  Keywords: collaborative filtering; enhanced fuzzy C-means algorithm; course recommendation; Canberra distance; generative adversarial network
  Citation: International Journal of Wireless and Mobile Computing, Vol. 25, No. 3 (2023) pp. 235 - 249
  PubDate: 2023-11-03T23:20:50-05:00
  DOI: 10.1504/IJWMC.2023.134668
  Issue No: Vol. 25, No. 3 (2023)
The construction of the competency model and its application in talent
cultivation
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  Authors: Juyan Che, Weinan Liu, Jie Wang, Zaiyang Xie
  Pages: 250 - 257
  Abstract: In the context of regular epidemic prevention and control, the prominent role of cross-border e-commerce in China's economic development has become increasingly evident. With the continuous development of China's cross-border e-commerce industry, there are higher requirements for talents. Whether or not they possess post competency has become an important indicator in corporate recruitment of cross-border e-commerce talents. By collecting the real data of cross-border e-commerce posts on 51job, the requirements for post competency are analysed and obtained. According to the data analysis, a competency model oriented to post data is constructed, on the basis of which the talent cultivation mode in higher vocational colleges is innovated. Moreover, from the perspective of talent cultivation policy network, several policy suggestions are put forward for colleges and college students, with the purpose of cultivating high-quality and high-skilled cross-border e-commerce talents that meet the needs of enterprises and promote social development.
  Keywords: competency model; talent cultivation; higher vocational education; cross-border e-commerce
  Citation: International Journal of Wireless and Mobile Computing, Vol. 25, No. 3 (2023) pp. 250 - 257
  PubDate: 2023-11-03T23:20:50-05:00
  DOI: 10.1504/IJWMC.2023.134673
  Issue No: Vol. 25, No. 3 (2023)
ACCO: adaptive congestion control protocol for opportunistic networks
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  Authors: Deepika Kukreja, Deepak Kumar Sharma
  Pages: 258 - 271
  Abstract: In Opportunistic Network (OppNet), intermittent connections and limited buffer space of mobile nodes lead to congestion. The parameters like meeting predictability of nodes, current speed of nodes, their buffer space, message size and Time-to-Live (TTL) of messages have been analysed for proposing a congestion control strategy protocol. The proposed protocol is named as Adaptive Congestion Control Protocol for Opportunistic (ACCO) networks. The TTL of a message is calculated using values of message size and meeting predictability of its source node with destination node. As a part of congestion avoidance strategy, largest message with least TTL is dropped on detecting congestion in the network. The connection stability of a node is considered while forwarding a message to another node. Through simulations, it has been shown that the proposed congestion control strategy gives high message delivery ratio, low overhead ratio and low message dropping when compared with Epidemic, PRoPHET, DP, LR-ROP and IWDNN protocols.
  Keywords: mobile ad-hoc network; opportunistic network; congestion control; routing; time-to-live
  Citation: International Journal of Wireless and Mobile Computing, Vol. 25, No. 3 (2023) pp. 258 - 271
  PubDate: 2023-11-03T23:20:50-05:00
  DOI: 10.1504/IJWMC.2023.134669
  Issue No: Vol. 25, No. 3 (2023)
Bifurcation analysis of a predator-prey model with volume-filling
mechanism
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 Authors: Hui Hao, Yan Li, Fengrong Zhang, Zhiyi Lv
 Pages: 272 - 281
 Abstract: In this paper, a predator-prey model with the tendency mechanism of volume-filling effect under homogeneous Neumann boundary conditions is studied. Firstly, in the case of predation tendency and spatial diffusion, the stability of non-negative equilibria is discussed by analysing the characteristic equation of the corresponding linearisation system. Secondly, by Hopf bifurcation theorem, the existence of periodic patterns is investigated. Next, we mainly study the steady state bifurcation when the parameter χ is selected. It is shown that the chemotactic mechanism has no effect on the existence of Hopf bifurcation when α is selected as a bifurcation parameter. Whereas, the parameter χ can induce the steady state bifurcation. Finally, to illustrate the theoretical analysis, numerical simulations are carried out.
 Keywords: predator-prey model; stability; Hopf bifurcation; volume-filling; steady state bifurcation
 Citation: International Journal of Wireless and Mobile Computing, Vol. 25, No. 3 (2023) pp. 272 - 281
 PubDate: 2023-11-03T23:20:50-05:00
 DOI: 10.1504/IJWMC.2023.134674
 Issue No: Vol. 25, No. 3 (2023)
Experimental study on modal analysis of horizontally splitting compressor
casing
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  Authors: Guanbing Cheng, Yuxiang Wu
  Pages: 282 - 295
  Abstract: To reveal vibration characteristics of compressor casing of aero-engine, a study of a typical compressor splitting casing was effectuated by both finite element and experimental modal methods. The calculated and experimental models were established. The structural modal parameters were identified and compared with each other. The results show that the experimental vibration frequencies are in good accordance with the calculated ones. In both methods, the compressor casing has both lateral vibration with several waves in the tangential direction and the horizontal movement with some half waves in the longitudinal direction. In addition, the maximum displacement takes place at the front and rear flanges of the compressor casing. The differences among them are about 20% for the first three orders, and about 7% for the next three orders. In the lower orders' vibration of the compressor casing, two horizontal flanges fixation reduce the casing stiffness and attenuate its frequencies accordingly.
  Keywords: aero engine; compressor casing; experimental modal analysis; finite element method; resonant frequency; vibration shape
  Citation: International Journal of Wireless and Mobile Computing, Vol. 25, No. 3 (2023) pp. 282 - 295
  PubDate: 2023-11-03T23:20:50-05:00
  DOI: 10.1504/IJWMC.2023.134680
  Issue No: Vol. 25, No. 3 (2023)
Waste plastic bottles classification with deep learning model
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  Authors: Jixu Hou, Xiaofeng Xie, Wenwen Wang, Qian Cai, Zhengjie Deng, Houqun Yang, Hongnian Huang, Yizhen Wang
  Pages: 296 - 302
  Abstract: The misuse of plastic products has led to serious environment problem. To alleviate such phenomenon, we need to recover the plastic waste with a precise distinction. In this work, we applied a deep learning model, e.g., Faster-RCNN, to identify the class of plastic bottle. We have designed a waste plastic bottle recycling system, which can cooperate with the manipulator and conveyor to automatically sort the bottles in the garbage. During the experiment, we established a data set containing 8400 images. Different backbone networks are used to train on the data set. The experimental results show that the skeleton network using Resnet-50 as Faster-RCNN has higher detection performance than other networks. The system can also be applied to the identification and classification of other solid wastes.
  Keywords: plastic pollution; object detection; garbage classification; plastic bottle recycling; automatic sorting
  Citation: International Journal of Wireless and Mobile Computing, Vol. 25, No. 3 (2023) pp. 296 - 302
  PubDate: 2023-11-03T23:20:50-05:00
  DOI: 10.1504/IJWMC.2023.134675
  Issue No: Vol. 25, No. 3 (2023)