Int. J. Online Eng.最新文献

{"title":"RFID Anti-Collision Detection Algorithm Based on Improved Adaptive N-Tree","authors":"Yuxia Li, Zhinan Zhou","doi":"10.3991/IJOE.V14I10.9310","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9310","url":null,"abstract":"This paper proposes a type of improved adaptive N-tree anti-collision algorithm based on the traditional one for RFID system by combination with maximum likelihood estimation and probe pre-detection. This algorithm inherits some features from Alpha- and tree-based anti-collision algorithms and effectively restrain the star-vation of the two algorithms. It has also filled in the gaps of tag collision with higher probability. The study turns out that the improved adaptive N-tree anti-collision algorithm as proposed can feature adaptive choice of the value N of the tree, length breaks of free timeslots, restraints on defects such as more tag classification and higher collision probability just as what the traditional tree-based algorithm has. N-tree built by level-to-level frame identification eliminates the free timeslots, and improves the tag identification precision for the RFID system. The results from simulation experiment reveal that the algorithm proposed in this paper has lower Error Sampling Reckon (ESR) and Throughput Rate Deviation (TRD), and features large throughput rate (87%), low delay of tag recognition and minimum timeslots, and etc. hence to be better applied in large-scale logistics and other fields where fast information recognition is involved.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134321324","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}

{"title":"Data Compression Scheme of Fronthaul Network Based on LTE","authors":"Chenwei Feng","doi":"10.3991/IJOE.V14I10.9312","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9312","url":null,"abstract":"<span style=\"font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'MS Mincho'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;\">As the long term evolution (LTE) mobile users and transmission data increase, the load of the fronthaul network increases. In order to control the consumption of optical fiber resources, and prevent congestion under the premise of increasing data transmission, it is necessary to compress the data of the fronthaul network. In this paper, a data compression scheme of LTE-based fronthaul network is proposed. According to the characteristics of LTE baseband signals, discrete sine transform (DST) is applied to the time domain signals, and the transformed coefficients are partitioned according to the energy concentration characteristics. Bit allocation is performed in different blocks, and the coefficients of each block are quantized by Lloyd-Max quantizer. Finally, Huffman coding is carried out to improve the compression ratio under the condition that the error is allowed. The simulation results show that the proposed data compression scheme has good performance in both compression ratio (CR) and error vector magnitude (EVM).</span>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130764948","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}

{"title":"Underground Operator Monitoring Platform Based on Ultra-Wide Band WSN","authors":"Weicai Xie, Xiaofeng Li, Xi Long","doi":"10.3991/IJOE.V14I10.9307","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9307","url":null,"abstract":"<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 accurately locate underground personnel in coal mines. For this purpose, an underground personnel positioning platform was established on the wireless sensor network (WSN). Specifically, the ultra-wide band (UWB) and the time difference of arrival (TDOA) positioning algorithm were introduced briefly, in view of the underground operation environment. Then, the underground operator monitoring platform was developed based on UWB-WSN and compared it with different positioning techniques through experiments. The results show that the proposed platform achieved a high positioning accuracy and satisfied the needs of real-time monitoring of underground personnel. The research findings shed new light on the mitigation of personnel and property losses in coal mine accidents.</span>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121850414","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}

{"title":"Wireless Sensor Node Localization Algorithm Based on Particle Swarm Optimization and Quantum Neural Network","authors":"Yulong Liu, Xiaoming Yu, Yuhua Hao","doi":"10.3991/IJOE.V14I10.9314","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9314","url":null,"abstract":"<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;\">Aiming at the problem of node localization in wireless sensor networks, a location algorithm for optimizing distance vector hopping (DV-hop) by constructing a quantum neural network model based on particle swarm optimization (PSO) is proposed. According to the average distance obtained by the traditional DV-HOP and the distance from the measured nodes, the quantum neural network model is constructed, and the average distance is trained by the particle swarm optimization algorithm which would shorten the training time of the traditional artificial neural network and accelerate the convergence speed. By using the proposed model, the optimal mean value is obtained, and the optimization of the DV-HOP algorithm is realized. The simulation results show that compared with the traditional DV-HOP algorithm, the proposed algorithm can reduce the positioning error by about 20%, and the positioning accuracy is significantly improved.</span>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123913140","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}

{"title":"A Smart WiFi Multi-Sensor Node for Fire Detection Mechanism Based on Social Network","authors":"Anekwong Yoddumnern, R. Chaisricharoen, T. Yooyativong","doi":"10.3991/IJOE.V14I10.8488","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.8488","url":null,"abstract":"A small device with WiFi multi-sensing element is very important under a social digital century. This study aims to implement the hardware and the power of the algorithm with WiFi technologies. Especially, the multi-sensors have to reinforce around a home area and support to any requirement in the term of digital society. This study focus to care the home security— on going to the fire detection with applying several technologies based on a Cloud. Firstly, the multi-sensor calibration has used calibration time and self-calibration as the Finite Impulse Response (FIR). Next, the Full-Scale Kalman Filter (FSKF) helps to fill data and estimate the accuracy data. After that, the fire detection mechanism has used Fuzzy logic to detect and send alert messages over an IFTTT process. There are changed following event-- the data range of fire proportion inside the home. Furthermore, The OFF-Mode has reduced the power consumption suddenly the WiFi module is sent the sensor data to the Cloud. Finally, the WiFi multi-sensor node will use more than one sensor as the same detector will be a high stability and high accuracy.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133301604","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}

{"title":"An Internet of Things System Based on Device-to-Device Communication Technology and Radio-Frequency Identification","authors":"Cheng Huang, Yongbo Lv","doi":"10.3991/IJOE.V14I10.9302","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9302","url":null,"abstract":"<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 build a mobile communication system suitable for different application scenarios of the Internet of Things (IoT). For this purpose, an IoT system was developed based on device-to-device (D2D) communication technology and radio-frequency identification (RFID). The D2D-RFID-based IoT system combines the merits of mobile communication (e.g. 4G) and the RFID. The analysis shows that the proposed system boasts good mobility, stable transmission, short time delay, fixed IP, and no need of a central server. The research findings have a great application potential in different IoT scenarios.</span>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130556432","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}

{"title":"A New Method for Reliability Evaluation of Wireless Sensor Networks Based on Fuzzy Neural Network","authors":"Jianjun Xu","doi":"10.3991/IJOE.V14I10.9315","DOIUrl":"https://doi.org/10.3991/IJOE.V14I10.9315","url":null,"abstract":"<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;\">In this paper, a reliability evaluation model based on fuzzy neural network is proposed to evaluate the reliability of wireless sensor networks without a unified standard. Firstly, the reliability is analyzed from the point of view of topology structure, protocol stack structure and reliability mechanism of wireless sensor network, and the performance indexes that affect the reliability are extracted. Secondly, some performance indexes are screened out, and the standard value matrix of reliability evaluation for index fuzzy quantization is established. The sample data is generated by interpolation, and the reliability evaluation model based on fuzzy neural network is established. The neural network model takes the selected index values as input, and outputs are the reliability of the wireless sensor network. The simulation results show that the evaluation model is basically consistent with the actual situation, and it can evaluate the wireless sensor network from the system level.</span>","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116844274","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}

{"title":"Information Processing and Data Management Technology in Wireless Sensor Networks","authors":"Y. Liu, Baohua Liang, Jiabao Jiang","doi":"10.3991/IJOE.V14I09.8270","DOIUrl":"https://doi.org/10.3991/IJOE.V14I09.8270","url":null,"abstract":"The wireless sensor network is essentially a data-centric network that processes the continuous stream of data, which is collected by different sensors. Therefore, the existing data management technologies regard the wireless sensor network, which is named WSN as a distributed database, and it is composed of continuous data streams from the physical world. Wireless sensor networks are emerging next-generation sensor networks, but their transmission of information is highly dependent. The wireless sensor network processes the continuous stream of data collected by the sensor. Based on the features of wireless sensor networks, this paper presents a topology-dependent model of cluster evolution with fault tolerance. Through the limited data management, resources have reasonably configured, while also saving energy. The model is based on the energy-aware routing protocol in its network layer protocols. The key point is the energy routing principle. According to its own local view, the cluster head node builds the inter-cluster topology to achieve fault-tolerant and energy-saving goals. Simulation results show that the model has good fault tolerance and energy efficiency.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116666143","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}

{"title":"Computer Network Simulation of Firewall and VoIP Performance Monitoring","authors":"Ammar O. Barznji, Tarik A. Rashid, Nawzad K. Al-Salihi","doi":"10.3991/IJOE.V14I09.8508","DOIUrl":"https://doi.org/10.3991/IJOE.V14I09.8508","url":null,"abstract":"Fast growing in communication technology has influenced global changes and challenges appear in the field of network security issues. Security solutions must be efficient and operate in a way to deal with threats, reject and stop the network intruders and Trojans. The simulated network of Salahaddin university new campus is planned to build on an area of (3000X3000) meter square. The network consists of many main and secondary devices. The network is mainly consisted of one core switch that provides a very high data transfer through connecting all the collected positions by a variety of cable medias to the entire network switches which are installed in each college location. The department of academic administration (presidency) of the university design is similar to the network designed in each college. The mentioned switch obtains the services from a router that isolates the network from the cloud which supports the services of internet to the network. The firewall is connected to the switch that connects the main server and cloud together. This paper focuses on undertaking a simulation to analyze and examine the performance of the whole network when two scenarios are implemented, the first is if firewall devices is used, the second is when firewall is not used, since the project of building Salahaddin University new campus is at the initial stage, therefore, the researchers think that, it is very important to figure out the drawbacks and deadlocks of using firewall upon each branch of the network and overall network performance before the submitting the final networks design that going to be implemented and installed, because this will indicate many differences on the construction, for example, the network panels ways, the cable collecting locations, network channels and many other device fixing things depending on the media types in addition of the demand of future expansion capabilities. The results show that the using or adding of firewall device to the university campus computer network, will improve the overall network performance though increasing the data stream on many network sections and sectors, also better results are obtained.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134427722","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}

{"title":"An Improved Principal Component Analysis in the Fault Detection of Multi-sensor System of Mobile Robot","authors":"Zhaihe Zhou, Qianyun Zhang, Qingtao Zhao, Ruyi Chen, Qingxi Zeng","doi":"10.3991/IJOE.V14I09.7770","DOIUrl":"https://doi.org/10.3991/IJOE.V14I09.7770","url":null,"abstract":"To cope with the fault detection in dynamic conditions of inertial components in the mobile robots, an improved principal component analysis (PCA) method was proposed. This work took a five gyroscopes redundancy allocation model to realize the measurement of the attitude. It is hard to distinguish the fault message from dynamic message in dynamic system that results in false alarm and missing inspection, so we firstly used the parity vector to preprocess the measurement data from the sensors. A fault was detected when the preprocessed data was dealt with PCA method. The effectiveness of the improved PCA method introduced in this paper was verified by comparing fault detection capabilities of conventional PCA method under the dynamic conditions of the step fault. The results of the simulation and experimental verification of the method was expected to contribute to the fault detection and improve the accuracy and reliability of the multi-sensors system in dynamic conditions.","PeriodicalId":387853,"journal":{"name":"Int. J. Online Eng.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124308582","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}