Pub Date : 2018-06-22DOI: 10.3991/IJOE.V14I06.8706
Xiaobing Hou
To improve the monitoring system of rock and soil engineering slope, based on the technology of Internet of things, the monitoring of rock and soil slope was studied. A multi parameter remote monitoring system based on the technology of Internet of things was proposed.By combining GPS locator with several sensor instruments, many parameters, such as ground displacement, deep displacement, groundwater level, stress and strain, were collected.Through the Internet of things technology, the key data were transmitted to the monitoring room. The wireless transmission of the monitoring data was completed. Using information fusion technology, database management and Web service, the monitoring data were classified and managed.Through the data analysis, the reliability theory was used to predict the slope. Finally, the rock and soil engineering slope monitoring based on the Internet of things was verified.The results showed that the stability of the slope was influenced by many factors. At the same time, the effectiveness and accuracy of monitoring data were important for slope prediction. To sum up, the reliability theory is more suitable for the stability analysis of the local slope and the section.
{"title":"Geotechnical Engineering Slope Monitoring Based on Internet of Things","authors":"Xiaobing Hou","doi":"10.3991/IJOE.V14I06.8706","DOIUrl":"https://doi.org/10.3991/IJOE.V14I06.8706","url":null,"abstract":"<p class=\"0abstract\"><span lang=\"EN-US\">T</span><span lang=\"EN-US\">o improve the monitoring system of rock and soil engineering slope, based on the technology of Internet of things, the monitoring of rock and soil slope </span><span lang=\"EN-US\">wa</span><span lang=\"EN-US\">s studied. A multi parameter remote monitoring system based on the technology of Internet of things </span><span lang=\"EN-US\">wa</span><span lang=\"EN-US\">s proposed.</span><span lang=\"EN-US\">By combining GPS locator with several sensor instruments, many parameters, such as ground displacement, deep displacement, groundwater level, stress and strain, </span><span lang=\"EN-US\">we</span><span lang=\"EN-US\">re collected.</span><span lang=\"EN-US\">Through the Internet of things technology, the key data </span><span lang=\"EN-US\">we</span><span lang=\"EN-US\">re transmitted to the monitoring room. The wireless transmission of the monitoring data </span><span lang=\"EN-US\">wa</span><span lang=\"EN-US\">s completed. Using information fusion technology, database management and Web service, the monitoring data </span><span lang=\"EN-US\">we</span><span lang=\"EN-US\">re classified and managed.</span><span lang=\"EN-US\">Through the data analysis, the reliability theory </span><span lang=\"EN-US\">wa</span><span lang=\"EN-US\">s used to predict the slope. Finally, the rock and soil engineering slope monitoring based on the Internet of things </span><span lang=\"EN-US\">wa</span><span lang=\"EN-US\">s verified.</span><span lang=\"EN-US\">The results show</span><span lang=\"EN-US\">ed</span><span lang=\"EN-US\"> that the stability of the slope </span><span lang=\"EN-US\">wa</span><span lang=\"EN-US\">s influenced by many factors. At the same time, the effectiveness and accuracy of monitoring data </span><span lang=\"EN-US\">we</span><span lang=\"EN-US\">re important for slope prediction. T</span><span lang=\"EN-US\">o sum up, t</span><span lang=\"EN-US\">he reliability theory is more suitable for the stability analysis of the local slope and the section.</span></p>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116983571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-22DOI: 10.3991/IJOE.V14I06.8055
Z. Momeni, A. Azizi
This paper studied on supply chain in terms of order and inventory problems and factors. The extended review of this paper showed that extra costs are the most important factors in the survival of an organization and have a significant impact on company competitiveness. However, holding inventory, order acceptance, and functional risks are factors that have not been studied simultaneously. The purpose of this paper is to provide a review on critical problems and factors in order and inventory models under supply chain management. This paper selected and reviewed 56 published articles in a decade through 30 famous relevant journals which were chosen from the “Science direct and Scopus” databases. Amongst 56 articles, “International Journal of Production Economics” was ranked as the first by 11 published articles. In this regard, the applications of the Artificial Neural Network method which called “ANN”, ant colony algorithm and queue theory have been proposed. All published articles were categorized based on the author number, The first author name, publication year, problems, factors, type of manufacturing industries, research methods and results and findings. Results of this paper acknowledge that order management and inventory control can help decision makers and researchers in solving some problems in manufacturing industries.
本文从订单和库存的角度研究了供应链中的问题和因素。本文的扩展审查表明，额外成本是一个组织的生存最重要的因素，并有显著影响公司的竞争力。然而，持有库存、订单接受和功能风险是尚未同时研究的因素。本文的目的是对供应链管理下订单和库存模型中的关键问题和因素进行综述。本文通过从“Science direct”和Scopus数据库中选取的30种相关知名期刊，对近十年来发表的56篇文章进行了筛选和综述。在56篇论文中，《International Journal of Production Economics》以11篇论文排名第一。在这方面，提出了人工神经网络方法(ANN)、蚁群算法和队列理论的应用。所有发表的文章按照作者编号、第一作者姓名、发表年份、问题、因素、制造业类型、研究方法和结果发现进行分类。本文的研究结果表明，订单管理和库存控制可以帮助决策者和研究人员解决制造业中的一些问题。
{"title":"Current Order and Inventory Models in Manufacturing Environments: A Review from 2008 to 2018","authors":"Z. Momeni, A. Azizi","doi":"10.3991/IJOE.V14I06.8055","DOIUrl":"https://doi.org/10.3991/IJOE.V14I06.8055","url":null,"abstract":"This paper studied on supply chain in terms of order and inventory problems and factors. The extended review of this paper showed that extra costs are the most important factors in the survival of an organization and have a significant impact on company competitiveness. However, holding inventory, order acceptance, and functional risks are factors that have not been studied simultaneously. The purpose of this paper is to provide a review on critical problems and factors in order and inventory models under supply chain management. This paper selected and reviewed 56 published articles in a decade through 30 famous relevant journals which were chosen from the “Science direct and Scopus” databases. Amongst 56 articles, “International Journal of Production Economics” was ranked as the first by 11 published articles. In this regard, the applications of the Artificial Neural Network method which called “ANN”, ant colony algorithm and queue theory have been proposed. All published articles were categorized based on the author number, The first author name, publication year, problems, factors, type of manufacturing industries, research methods and results and findings. Results of this paper acknowledge that order management and inventory control can help decision makers and researchers in solving some problems in manufacturing industries.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132402502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-22DOI: 10.3991/IJOE.V14I06.8702
M. Shen, Z. Tang
To explore the application of audio signal in the troubleshooting system, a sound detection system was designed. The system consists of three parts: voice acquisition node, aggregation node and host computer monitoring software. Time protocol synchronization (TPSN) algorithm was used to realize the synchronization between nodes. The algorithm and the trilateration method were applied to the system. The applications of the sound detection system in the field of fault sound source localization were realized.Wireless sensor networks were used in sound detection systems, which had many advantages. On the one hand, complicated wiring was avoided. It had the advantages of easy to set up and easy to move.On the other hand, some self-organizing and adaptive features in wireless sensor networks and some methods of synchronization and localization could be introduced. Thewhole system was more flexible and its application was more extensive.Using monitoring software, users can remotely access to the scene of the voice signal.The results showed that the system had high transmission rate, stable operation and small positioning error. Therefore, it has good application prospects.
{"title":"Audio Signal and Troubleshooting System Based on Wireless Sensor","authors":"M. Shen, Z. Tang","doi":"10.3991/IJOE.V14I06.8702","DOIUrl":"https://doi.org/10.3991/IJOE.V14I06.8702","url":null,"abstract":"<p class=\"0abstract\"><span lang=\"EN-US\">To explore</span><span lang=\"EN-US\"> the application of audio signal in the troubleshooting system, a sound detection system </span><span lang=\"EN-US\">wa</span><span lang=\"EN-US\">s designed. The system consists of three parts: voice acquisition node, aggregation node and host computer monitoring software. Time protocol synchronization </span><span lang=\"EN-US\">(</span><span lang=\"EN-US\">TPSN</span><span lang=\"EN-US\">)</span><span lang=\"EN-US\"> algorithm </span><span lang=\"EN-US\">wa</span><span lang=\"EN-US\">s used to realize the synchronization between nodes. The algorithm and the trilateration method </span><span lang=\"EN-US\">we</span><span lang=\"EN-US\">re applied to the system. The application</span><span lang=\"EN-US\">s</span><span lang=\"EN-US\"> of the sound detection system in the field of fault sound source localization </span><span lang=\"EN-US\">we</span><span lang=\"EN-US\">re realized.</span><span lang=\"EN-US\">Wireless sensor networks </span><span lang=\"EN-US\">we</span><span lang=\"EN-US\">re used in sound detection systems, which ha</span><span lang=\"EN-US\">d</span><span lang=\"EN-US\"> many advantages. On the one hand, complicated wiring </span><span lang=\"EN-US\">wa</span><span lang=\"EN-US\">s avoided. It ha</span><span lang=\"EN-US\">d</span><span lang=\"EN-US\"> the advantages of easy to set up and easy to move.</span><span lang=\"EN-US\">On the other hand, some self-organizing and adaptive features in wireless sensor networks and some methods of synchronization and localization c</span><span lang=\"EN-US\">ould</span><span lang=\"EN-US\"> be introduced. The</span><span lang=\"EN-US\">whole system</span><span lang=\"EN-US\"> was</span><span lang=\"EN-US\"> more flexible</span><span lang=\"EN-US\"> and i</span><span lang=\"EN-US\">ts application </span><span lang=\"EN-US\">wa</span><span lang=\"EN-US\">s more extensive.</span><span lang=\"EN-US\">Using monitoring software, users can remotely access to the scene of the voice signal.</span><span lang=\"EN-US\">The results show</span><span lang=\"EN-US\">ed</span><span lang=\"EN-US\"> that the system ha</span><span lang=\"EN-US\">d</span><span lang=\"EN-US\"> high transmission rate, stable operation and small positioning error. Therefore, it has good application prospects.</span></p>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114413229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-22DOI: 10.3991/IJOE.V14I06.8356
Sheng Tang, Jing Ke, Zunzun Li, Pengfei Dong
The basic principle of the reference broadcast synchronization protocol using in wireless sensor networks is present，and a compact reference broadcast synchronization experimental system is designed and implemented in this paper. The experimental results show that the receivers of the system can successfully capture the timing packets issued by the broadcast beacon within 200 meters and simultaneously adjust their local clocks according the timing packets. The time synchronization error between the receivers is less than 410 microseconds. The circuit design scheme of the time synchronization experimental system proposed in this paper may be taken as technical reference for the planning and designing of low cost, miniaturization and high accuracy nodes in wireless sensor networks.
{"title":"Design and Implementation of Time Synchronization Experimental System for Wireless Sensor Networks","authors":"Sheng Tang, Jing Ke, Zunzun Li, Pengfei Dong","doi":"10.3991/IJOE.V14I06.8356","DOIUrl":"https://doi.org/10.3991/IJOE.V14I06.8356","url":null,"abstract":"The basic principle of the reference broadcast synchronization protocol using in wireless sensor networks is present，and a compact reference broadcast synchronization experimental system is designed and implemented in this paper. The experimental results show that the receivers of the system can successfully capture the timing packets issued by the broadcast beacon within 200 meters and simultaneously adjust their local clocks according the timing packets. The time synchronization error between the receivers is less than 410 microseconds. The circuit design scheme of the time synchronization experimental system proposed in this paper may be taken as technical reference for the planning and designing of low cost, miniaturization and high accuracy nodes in wireless sensor networks.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122106939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-22DOI: 10.3991/IJOE.V14I06.8305
Dashe Li, Dapeng Cheng, Jihong Qin, Shue Liu, Pingping Liu
Internet of Things (IOT) has found broad applications and has drawn more and more attention from researchers. At the same time, IOT also presents many challenges, one of which is node localization, i.e. how to determine the geographical position of each sensor node. Algorithms have been proposed to solve the problem. A popular algorithm is Particle Swarm Optimization (PSO) because it is simple to implement and needs relatively less computation. However, PSO is easily trapped into local optima and gives premature results. In order to improve the PSO algorithm, this paper proposes the EHPSO algorithm based on Novel Particle Swarm Optimization (NPSO) and Hybrid Particle Swarm Optimization (HPSO). The EHPSO algorithm applies the principle of best neighbor of each particle to the HPSO algorithm. Simulation results indicate that EHPSO outperforms HPSO and NPSO in evaluating accurate node positions and improves convergence by avoiding being trapped into local optima.
物联网(Internet of Things, IOT)有着广泛的应用，越来越受到研究者的关注。同时，物联网也提出了许多挑战，其中之一就是节点定位，即如何确定每个传感器节点的地理位置。已经提出了一些算法来解决这个问题。粒子群优化算法(Particle Swarm Optimization, PSO)实现简单，计算量相对较少，是一种比较流行的算法。然而，粒子群算法很容易陷入局部最优，给出的结果不成熟。为了改进粒子群算法，提出了基于新型粒子群算法(NPSO)和混合粒子群算法(HPSO)的EHPSO算法。EHPSO算法将各粒子的最优邻居原理应用到该算法中。仿真结果表明，EHPSO算法在准确评估节点位置方面优于HPSO算法和NPSO算法，并通过避免陷入局部最优而提高了收敛性。
{"title":"EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things","authors":"Dashe Li, Dapeng Cheng, Jihong Qin, Shue Liu, Pingping Liu","doi":"10.3991/IJOE.V14I06.8305","DOIUrl":"https://doi.org/10.3991/IJOE.V14I06.8305","url":null,"abstract":"Internet of Things (IOT) has found broad applications and has drawn more and more attention from researchers. At the same time, IOT also presents many challenges, one of which is node localization, i.e. how to determine the geographical position of each sensor node. Algorithms have been proposed to solve the problem. A popular algorithm is Particle Swarm Optimization (PSO) because it is simple to implement and needs relatively less computation. However, PSO is easily trapped into local optima and gives premature results. In order to improve the PSO algorithm, this paper proposes the EHPSO algorithm based on Novel Particle Swarm Optimization (NPSO) and Hybrid Particle Swarm Optimization (HPSO). The EHPSO algorithm applies the principle of best neighbor of each particle to the HPSO algorithm. Simulation results indicate that EHPSO outperforms HPSO and NPSO in evaluating accurate node positions and improves convergence by avoiding being trapped into local optima.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121662198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-05-25DOI: 10.3991/IJOE.V14I05.7788
F. Dinis, J. Martins, B. Carvalho, Ana Sofia Guimarães
The application of immersive Virtual Reality (VR) interfaces has shown favourable results for Engineering Education. In fact, VR interfaces provide new practises for improvising transferability of knowledge and communication amongst users, thus disclosing new tools for decision making, planning, project review and multidisciplinary cooperation. The present work comprises a description of an immersive VR interface developed under the scope of Civil Engineering and an ongoing educational programme, Educational Lab - Big Machine. The project intends primarily, to disseminate Civil Engineering amongst pre-university students, simultaneously providing new tools for enhancing students’ motivation and decreasing early school leaving. The VR interface is available online and can be tested anywhere as long as the minimum requirements are met.
{"title":"Disseminating Civil Engineering through Virtual Reality: An Immersive Interface","authors":"F. Dinis, J. Martins, B. Carvalho, Ana Sofia Guimarães","doi":"10.3991/IJOE.V14I05.7788","DOIUrl":"https://doi.org/10.3991/IJOE.V14I05.7788","url":null,"abstract":"The application of immersive Virtual Reality (VR) interfaces has shown favourable results for Engineering Education. In fact, VR interfaces provide new practises for improvising transferability of knowledge and communication amongst users, thus disclosing new tools for decision making, planning, project review and multidisciplinary cooperation. The present work comprises a description of an immersive VR interface developed under the scope of Civil Engineering and an ongoing educational programme, Educational Lab - Big Machine. The project intends primarily, to disseminate Civil Engineering amongst pre-university students, simultaneously providing new tools for enhancing students’ motivation and decreasing early school leaving. The VR interface is available online and can be tested anywhere as long as the minimum requirements are met.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129229697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-05-25DOI: 10.3991/IJOE.V14I05.8642
Ruo Jia
Regarding the disadvantages of Wireless Sensor Networks such as random node failure, imbalanced network energy consumption, and shorter life cycle etc., the paper proposes an improved evolving model with an overall integration of fault-tolerance topology and network energy consumption, as a fusion mechanism optimizing the original node degree, generation ability and node distance in the model; it also validates the advantages of the improved model in terms of network life cycle, residual energy of node, node spacing and fault tolerance etc. by comparing the model with the optimized model of traditional sensor. With the establishment of WSNs energy consumption model, the paper evaluates the network life cycle and analyses the influence of node spacing and residual energy of node on WSNs, by adopting which as the fitness functions of the model, a scale-free fault tolerance topology evolving model with link deletion mechanism is constructed. The simulation comparison shows that the topology structure of the improved model has significant scale-free characteristics, a balanced network energy consumption and a long network life cycle; it can also effectively increase the fault tolerance and intrusion tolerance of network.
{"title":"Wireless Sensor Networks Topology Model Based on Energy Consumption and Life Cycle","authors":"Ruo Jia","doi":"10.3991/IJOE.V14I05.8642","DOIUrl":"https://doi.org/10.3991/IJOE.V14I05.8642","url":null,"abstract":"Regarding the disadvantages of Wireless Sensor Networks such as random node failure, imbalanced network energy consumption, and shorter life cycle etc., the paper proposes an improved evolving model with an overall integration of fault-tolerance topology and network energy consumption, as a fusion mechanism optimizing the original node degree, generation ability and node distance in the model; it also validates the advantages of the improved model in terms of network life cycle, residual energy of node, node spacing and fault tolerance etc. by comparing the model with the optimized model of traditional sensor. With the establishment of WSNs energy consumption model, the paper evaluates the network life cycle and analyses the influence of node spacing and residual energy of node on WSNs, by adopting which as the fitness functions of the model, a scale-free fault tolerance topology evolving model with link deletion mechanism is constructed. The simulation comparison shows that the topology structure of the improved model has significant scale-free characteristics, a balanced network energy consumption and a long network life cycle; it can also effectively increase the fault tolerance and intrusion tolerance of network.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114857468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-05-25DOI: 10.3991/IJOE.V14I05.8644
Yang Xiao
To address the node cascading failure (CF) of the wireless sensor networks (WSNs), considering such factors as node load and maximum capacity in scale-free topology, this paper establishes the WSN dynamic fault tolerant topology model based on node cascading failure, analyses the relationships between node load, topology and dynamic fault tolerance, and demonstrates the proposed model through simulation test. It studies the effects of topology parameter and load in case of random node failure in the network node cascading failure, and utilizes the theoretical derivation method to derive the structural feature of scale-free topology and the capacity limit for the WSNs large-scale cascading failure, effectively enhancing the cascading fault tolerance of traditional WSNs. The simulation test results show that, with the degree distribution parameter C increasing, the minimum network node degree will increase accordingly, and in highly intensive topology, the dynamic fault tolerance will be better; with the parameter λ increasing, the maximum degree of the network node will gradually decrease, and the degree distribution of topology structure tends to be uniform, so that the large-scale cascading failure caused by node failure will have less influence on the WSN, and further improve the dynamic fault tolerance performance of the system.
{"title":"Dynamic Fault Tolerant Topology Control for Wireless Sensor Network Based on Node Cascading Failure","authors":"Yang Xiao","doi":"10.3991/IJOE.V14I05.8644","DOIUrl":"https://doi.org/10.3991/IJOE.V14I05.8644","url":null,"abstract":"To address the node cascading failure (CF) of the wireless sensor networks (WSNs), considering such factors as node load and maximum capacity in scale-free topology, this paper establishes the WSN dynamic fault tolerant topology model based on node cascading failure, analyses the relationships between node load, topology and dynamic fault tolerance, and demonstrates the proposed model through simulation test. It studies the effects of topology parameter and load in case of random node failure in the network node cascading failure, and utilizes the theoretical derivation method to derive the structural feature of scale-free topology and the capacity limit for the WSNs large-scale cascading failure, effectively enhancing the cascading fault tolerance of traditional WSNs. The simulation test results show that, with the degree distribution parameter C increasing, the minimum network node degree will increase accordingly, and in highly intensive topology, the dynamic fault tolerance will be better; with the parameter λ increasing, the maximum degree of the network node will gradually decrease, and the degree distribution of topology structure tends to be uniform, so that the large-scale cascading failure caused by node failure will have less influence on the WSN, and further improve the dynamic fault tolerance performance of the system.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124000252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-05-25DOI: 10.3991/IJOE.V14I05.8653
Jiaxin Zheng, Wencai Yang
In light of the agricultural development in China, more attention has been paid to the studies about precision agriculture. The environmental factors such as temperature-humidity and soil humidity are the key influencing factors on crop growth, therefore, how to rapidly and accurately acquire the environmental information of crop growth and learn about their real-time growing environment is of vital importance. The wireless sensor networks (WSN) can make real-time environmental information acquisition as well as communication and processing of network environmental data. Based on this, the RSSI range-based positioning method was optimized in this paper in order to greatly improve its precision. To be specific, in this study, the particle swarm optimization (PSO) algorithm was firstly applied in the hybrid mutation strategy to make more accurate node positioning and significantly improve the evolutionary performance by enlarging the hunting zone; besides, through the use of WSN, the influencing parameters on crop growth such as soil humidity, and temperature-humidity etc. would be monitored; finally, to realize the precise location and derive the unseeded nodes, GPS was applied for accurate positioning, and the intelligence algorithm was adopted to determine the coordinate position of unknown nodes. At last, the actual field test indicates that the designed monitoring system in this paper satisfies the requirements for precise measurement, playing a positive role in promoting the development of precision agriculture.
{"title":"Design of a Precision Agriculture Leakage Seeding System Based on Wireless Sensors","authors":"Jiaxin Zheng, Wencai Yang","doi":"10.3991/IJOE.V14I05.8653","DOIUrl":"https://doi.org/10.3991/IJOE.V14I05.8653","url":null,"abstract":"In light of the agricultural development in China, more attention has been paid to the studies about precision agriculture. The environmental factors such as temperature-humidity and soil humidity are the key influencing factors on crop growth, therefore, how to rapidly and accurately acquire the environmental information of crop growth and learn about their real-time growing environment is of vital importance. The wireless sensor networks (WSN) can make real-time environmental information acquisition as well as communication and processing of network environmental data. Based on this, the RSSI range-based positioning method was optimized in this paper in order to greatly improve its precision. To be specific, in this study, the particle swarm optimization (PSO) algorithm was firstly applied in the hybrid mutation strategy to make more accurate node positioning and significantly improve the evolutionary performance by enlarging the hunting zone; besides, through the use of WSN, the influencing parameters on crop growth such as soil humidity, and temperature-humidity etc. would be monitored; finally, to realize the precise location and derive the unseeded nodes, GPS was applied for accurate positioning, and the intelligence algorithm was adopted to determine the coordinate position of unknown nodes. At last, the actual field test indicates that the designed monitoring system in this paper satisfies the requirements for precise measurement, playing a positive role in promoting the development of precision agriculture.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132358945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-05-25DOI: 10.3991/IJOE.V14I05.8645
Xuexin Bao, Dan Zhang
This paper aims to create an efficient container yard management system. For this purpose, a gantry crane management subsystem was designed and implemented for container information management based on the wireless sensor network (WSN). The system consists of a set of desktop management software and three different types sensor nodes, and locates the container via the two-way symmetrical time-of-arrival (TS-TOA) positioning approach. In this way, the subsystem enhances the accuracy of container positioning without elevating hardware cost. Through the implementation of the hardware and software systems, it is proved that the user can successfully locate the container, read and update cargo information, and complete similar operations through human-computer interaction in the desktop management software. Overall, this research greatly improves the efficiency of container management at the port, and helps to reduce the operational cost and port congestion.
{"title":"Design and Implementation of Container Positioning System Based on Wireless Sensor Network","authors":"Xuexin Bao, Dan Zhang","doi":"10.3991/IJOE.V14I05.8645","DOIUrl":"https://doi.org/10.3991/IJOE.V14I05.8645","url":null,"abstract":"This paper aims to create an efficient container yard management system. For this purpose, a gantry crane management subsystem was designed and implemented for container information management based on the wireless sensor network (WSN). The system consists of a set of desktop management software and three different types sensor nodes, and locates the container via the two-way symmetrical time-of-arrival (TS-TOA) positioning approach. In this way, the subsystem enhances the accuracy of container positioning without elevating hardware cost. Through the implementation of the hardware and software systems, it is proved that the user can successfully locate the container, read and update cargo information, and complete similar operations through human-computer interaction in the desktop management software. Overall, this research greatly improves the efficiency of container management at the port, and helps to reduce the operational cost and port congestion.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124493765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号