2019 29th International Telecommunication Networks and Applications Conference (ITNAC)最新文献

{"title":"Design and Implementation of Wi-Fi Based Attendance System Using Raspberry Pi","authors":"Archana Banepali, Rajan Kadel, D. Guruge, S. J. Halder","doi":"10.1109/ITNAC46935.2019.9077985","DOIUrl":"https://doi.org/10.1109/ITNAC46935.2019.9077985","url":null,"abstract":"The proposed system uses cutting-edge technologies such as smart phones and Wireless Access Point (WAP) to automate student attendance in the classroom settings. The system is implemented in four steps: Wireless Local Area Network (WLAN) formation using Raspberry Pi and smart phones; Received Signal Strength (RSS) threshold determination for each setting; database and web interface implementation using Apache server, MySQL and PHP; and updating the attendance using threshold RSS, Media Access Control (MAC) address, association status of mobile devices and RSS value. The system was tested in several classroom settings including the laboratory room, lecture hall and tutorial room and obtained more than 94% of accuracy in attendance marking for all settings.","PeriodicalId":407514,"journal":{"name":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121173365","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 Weight Based Channel Scheduling for LTE-A Femtocells","authors":"A. Arafat, M. Gregory","doi":"10.1109/ITNAC46935.2019.9077963","DOIUrl":"https://doi.org/10.1109/ITNAC46935.2019.9077963","url":null,"abstract":"In LTE-A, uplink channel allocation is mandated by the contiguity paradigm, which requires computational complexity and intricacy. With the massive deployment of small cells, e.g. femtocells, user experience in the uplink is as vital as in the downlink. PAPR is the critical factor in the SC-FDMA network that allows low power consumption and contiguous resource allocation. In SC-FDMA, a contiguous resource block is required to take advantage of the PARP. An uplink channel scheduling algorithm for uplink operation can reduce the PAPR in transmission. An efficient and optimised uplink channel scheduling algorithm will allow the system to maximise resource occupation and uplink channel allocation. A weight-based resource allocation algorithm is proposed to improve the network performance in the LTE-A uplink femtocell network. Simulation results show that the proposed algorithm performs better for uplink and eliminates the gap of the current channel scheduling algorithms for the LTE-A femtocell.","PeriodicalId":407514,"journal":{"name":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133688676","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 Novel Relaying Mechanism for Multi-Cast Transmission with Ground-Aerial NOMA","authors":"Syeda Kanwal Zaidi, S. F. Hasan, X. Gui","doi":"10.1109/ITNAC46935.2019.9077955","DOIUrl":"https://doi.org/10.1109/ITNAC46935.2019.9077955","url":null,"abstract":"Unmanned aerial vehicles (UAVs) are gaining recognition as aerial base station and as relays to provide coverage in fifth-generation and beyond networks. With a multitude of devices present in future wireless networks, a ground or an aerial device, both can act as a relay for coverage extension. We propose to utilise either ground or aerial device as a relay based on the channel characteristics of the device with transmit source. Non-orthogonal multiple access (NOMA) is enforced to pair the ground and aerial device. In our scheme, a device which establishes strong communication link with transmit source is selected as a relay. The relay communication is further fuelled by harvesting energy from the radio signals of transmit source using power-splitting energy harvesting protocol. It is shown that the channel fading characteristics and path-loss environment of a ground and aerial user which are different in nature, contribute towards the relay selection. The results indicate that the proposed scheme achieves improved signal reception at the end user with the use of this dynamic relaying scheme.","PeriodicalId":407514,"journal":{"name":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114413757","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":"Non-Centralised and Non-GPS Navigation Mechanism using IoT sensors: challenges and trade-offs","authors":"D. Basu, X. Gui, Yi Zhang, A. Nag","doi":"10.1109/ITNAC46935.2019.9078003","DOIUrl":"https://doi.org/10.1109/ITNAC46935.2019.9078003","url":null,"abstract":"In this paper, we propose a non-centralised navigation setup framework using the ubiquitous IoT sensor nodes as landmarks for non-GPS navigation where GPS or cellular coverage is poor or non-existent. Navigation will not require central control like legacy cellular networks but the IoT nodes can communicate among themselves. Such scenarios may arise in dense urban landscape and forest regions where device to device communication can enable navigation. These IoT sensors for navigation purposes will be referred to as navigation anchor points (NAP). When a navigation request arrives, these NAPs send distance information to the hand-held device of the requester. This hand-held device runs a computationally inexpensive shortest path algorithm to find out the NAPs between the source and the destination. The NAPs estimate the distances between themselves by using the received signal strength when they exchange beacon packets. The distance estimation between these NAPs can be plagued by measurement noise due to the multi-path effect. Measurement noise can be reduced by increasing the number of beacon packets used to measure the signal strength or by changing the transmission power. In this paper, we conducted simulations with a variable number of beacon packets and power and include all types of wireless channel conditions. We argued that radio clutter can change without any notice due to objects, humans and change in vegetation. Therefore it is necessary to run navigation setup every time a request arrives and not rely on a fixed set of NAPs for a source-destination pair. These NAPs are mostly battery operated and therefore, energy conservation for an extended period of operation is necessary. Hence we can see a trade-off between the accuracy of the number of NAPs used in navigation to the energy used in setting up the navigation path. This paper has explored the possibility of using the non-GPS non-centralised navigation scheme in scenarios where there is inadequate satellite coverage, and the NAPs are power-constrained, and the navigable device cannot support energy-expensive GPS based navigation. The simulation results with different network densities and uncertainties in distance measurement show that there can be lower bound limit to the transmission power irrespective of the number of beacon packets that can be used to reach the optimal number of NAPs. This framework is an excellent example of use-case for 5G device-to-device (D2D) communication.","PeriodicalId":407514,"journal":{"name":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124915604","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":"Frame Synchronization Performance of Optical-Wireless Hybrid BPPM-OOK System","authors":"Tomohiro Kiguchi, Ran Sun, H. Habuchi, Y. Kozawa","doi":"10.1109/ITNAC46935.2019.9078002","DOIUrl":"https://doi.org/10.1109/ITNAC46935.2019.9078002","url":null,"abstract":"Turbo code can be closed to the Shanon limit and is expected to be used for reliable applications. The optical-wireless turbo coded system with a hybrid BPPM-OOK is superior to those using other pulse modulation schemes in bit error rate performance. To realize the optical-wireless turbo coded system with hybrid BPPM-OOK demands the implementation of frame synchronization schemes. The frame synchronization scheme for the turbo coded system with hybrid BPPM-OOK are proposed. The scheme is focused on the frame structure which consists of two slots for BPPM and two slots for OOK. The detection probability of frame timing signal and the average false alarm probability are evaluated. However, it is difficult to optimize the number of stages on the racing counters. In this paper, the retention time and the recovery time are evaluated to derive the optimization of the stages of racing counters in the frame synchronization system. As a result, it is found that the optimum number of stages on racing counters varies according to required recovery time.","PeriodicalId":407514,"journal":{"name":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123014337","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":"Device to Device Collaboration Architecture for Real- Time Identification of User and Abnormal Activities in Home","authors":"S. S. Keum, C. Lee, Soon-Ju Kang","doi":"10.1109/ITNAC46935.2019.9077981","DOIUrl":"https://doi.org/10.1109/ITNAC46935.2019.9077981","url":null,"abstract":"Activities of Daily Living (ADL) are indicators for evaluating individual health, ability of independence and daily living, and degenerative brain disease of old people. Therefore, many researches are actively underway to measure user's ADL data by constructing Internet of Things (IoT) based smart home. However, general smart home solutions for measuring user's ADL only focus on collecting user's activity data, appliance usage and home environment data. Such simple ADL data cannot be used as an indicator for early recognition of the above-mentioned symptoms of the elderly people. Intuitively speaking, the ADL data we want to collect should be to know who the user is, and whether the device has been successfully used or misused. In this paper, we propose device-to-device collaboration architecture to identify the user, device to use, and success or failure of the device usage in real-time. By designing and implementing the proposed architecture, we can record the ADL data on the user's wearable device without any user intervention. In addition, as another advantage of the proposed concept, it is possible to easily check and record the physical moving ability of the user between two fixed spaces. The collected ADL and abnormal behavior may help a user or guardian to determine the user's dementia symptoms, activeness and daily living skills.","PeriodicalId":407514,"journal":{"name":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122490086","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":"Dynamic RNN -CNN based Malware Classifier for Deep Learning Algorithm","authors":"Youngbok Cho","doi":"10.1109/ITNAC46935.2019.9077961","DOIUrl":"https://doi.org/10.1109/ITNAC46935.2019.9077961","url":null,"abstract":"This study proposes a malware classification model that can handle arbitrary length input data using the Microsoft Malware Classification Challenge dataset. We are based on imaging existing data from malware. The proposed model generates a lot of images when malware data is large, and generates a small image of small data. The generated image is learned as time series data by Dynamic RNN. The output value of the RNN is classified into malware by using only the highest weighted output by applying the Attention technique, and learning the RNN output value by Residual CNN again. Experiments on the proposed model showed a Micro-average F1 score of 92% in the validation data set. Experimental results show that the performance of a model capable of learning and classifying arbitrary length data can be verified without special feature extraction and dimension reduction.","PeriodicalId":407514,"journal":{"name":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127616350","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":"Performance Analysis of Clustering Algorithms for Content-Sharing Based D2D Enabled 5G Networks","authors":"Saad Aslam, F. Alam, S. F. Hasan, M. A. Rashid","doi":"10.1109/ITNAC46935.2019.9077986","DOIUrl":"https://doi.org/10.1109/ITNAC46935.2019.9077986","url":null,"abstract":"5G networks are expected to be content-centric which present various research challenges. Content-Sharing via Device-to-Device (D2D) clustered networks has emerged as a popular approach of alleviating the burden on the 5G network. A novel channel-based clustering algorithm, for grouping the D2D User Equipment (DUEs) sharing a common interest, is proposed in this paper. Performance parameters such as energy consumption of devices and area spectral efficiencies (ASE) are considered for evaluating the performance of the D2D clustered network in a simulation study. The proposed algorithm exhibits better node energy consumptions as compared to several existing clustering algorithms. It also yields better ASE compared to the existing algorithms for various node densities. Effect of the number of clusters on the performance parameters is also discussed.","PeriodicalId":407514,"journal":{"name":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126071936","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":"Adaptive Control of Nonstatistical Sensor Data Aggregation to Minimize Latency in IoT Gateways","authors":"H. Yoshino, Kenko Ota, T. Hiraguri","doi":"10.1109/ITNAC46935.2019.9077988","DOIUrl":"https://doi.org/10.1109/ITNAC46935.2019.9077988","url":null,"abstract":"In order to satisfy rigorous quality of service requirements and realize latency-critical Internet of Things (IoT) applications, it is important to minimize the latency at IoT gateways, which aggregate a large amount of small-sized data from massive sensor devices. Data aggregation in IoT gateways can be broadly classified into statistical and nonstatistical. In previous studies on statistical data aggregation, we derived the Laplace-Stieltjes transform of the latency distributions and accurate estimation formulae for the optimal aggregation parameters under steady-state conditions with a Poisson arrival. Moreover, we proposed an adaptive control scheme of statistical data aggregation that minimizes the latency when time variation exists in the arrival rate. Furthermore, we analyzed the nonstatistical aggregation and derived an approximation of the average latency. In this study, we apply the approximation to the adaptive control for the nonstatistical aggregation based on the time-variant arrival rate and propose three kinds of estimation formulae for the optimal aggregation number. The transient and average characteristics of the estimation formulae were compared by simulation. The results indicated that the proposed control with each estimation formula achieved stable and nearly theoretically optimal latency.","PeriodicalId":407514,"journal":{"name":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130488602","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":"Load-balancing In Software-Defined Networking: An Investigation On Influential System Parameters","authors":"Amirhossein Moravejosharieh, Francisco Claudio Araujo Palmeira","doi":"10.1109/ITNAC46935.2019.9077970","DOIUrl":"https://doi.org/10.1109/ITNAC46935.2019.9077970","url":null,"abstract":"Software-Defined Networking (SDN) is a recently-developed networking paradigm that achieves flexible network management through separation of control plane and data plane. In an SDN-enabled network, the deployment of a multi-controller architecture as a centralised control plane along with the implementation of a load-balancing strategy to share the load among controllers in the control plane achieve higher degree of availability and scalability. To efficiently balance the load between SDN-controllers, two tasks seem to be of utmost importance, namely: identifying the system parameters whose values' variations initiate the load-balancing operation, and the amount of time taken to complete the load-balancing operation between controllers. In this paper, an SDN-enabled network topology has been emulated to identify a subset of influential system parameters that trigger load-balancing operation between SDN-controllers. Additionally, this paper determines the impact of all possible combinations of such system parameters on the amount of time taken to complete the load-balancing operation in a cluster of OpenDay Light controllers.","PeriodicalId":407514,"journal":{"name":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115397668","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}