Pub Date : 2018-03-22DOI: 10.1109/WISPNET.2018.8538703
M. Adarsh, K. Adithya, Akshay Nimbal
The Automatic Identification System (AIS) is an automated tracking system used for exchanging static and dynamic vessel information between the AIS terminals. Data transmitted by the AIS station is received by other vessel or base station. But due to the range limitations in the ground-based network, we go for Space-based Universal ship-borne Automatic Identification System (S-AIS) wherein the AIS-Data is received by satellite for the global coverage. In this paper, we present the performance analysis of the space-based AIS system considering the Field of View (FoV) of the satellite spanning a large number of Self-Organizing Time Division Multiple Access (SOTDMA) clusters and implementation of AIS Modem using SOTDMA scheme with Gaussian Minimum Shift Keying (GMSK) modulation. The introduction of reconfigurable devices and high level hardware description languages have made the design of AIS modem to be implemented efficiently on Virtex5-xc5vlx110t FPGA. The system is optimized in terms of hardware utilization. The SOTDMA architecture is designed at the Behavioral level of abstraction with constraints as defined by International Telecommunication Union (ITU) and is implemented using Verilog Hardware Description Language (HDL) on the FPGA, GMSK modulator and demodulator is designed in Xilinx System Generator. The SOTDMA architecture implemented is tested by considering multiple users to verify the unique slot allocation within a SOTDMA cluster. The FPGA implementation results are presented.
自动识别系统(AIS)是一种自动跟踪系统，用于在AIS终端之间交换静态和动态船舶信息。AIS站发送的数据被其他船只或基站接收。但由于地面网络的范围限制，我们选择了天基通用舰载自动识别系统(S-AIS)，其中ais数据由卫星接收，覆盖全球。本文在考虑卫星视场(FoV)跨越大量自组织时分多址(SOTDMA)集群的情况下，对天基AIS系统进行了性能分析，并采用高斯最小移位键控(GMSK)调制的SOTDMA方案实现了AIS调制解调器。引入可重构器件和高级硬件描述语言，使得AIS调制解调器的设计能够在Virtex5-xc5vlx110t FPGA上高效实现。系统在硬件利用率方面进行了优化。SOTDMA架构采用国际电信联盟(ITU)定义的约束在行为抽象层进行设计，在FPGA上使用Verilog硬件描述语言(HDL)实现，GMSK调制器和解调器在Xilinx System Generator中设计。通过考虑多个用户来验证SOTDMA集群内的唯一插槽分配，对实现的SOTDMA体系结构进行了测试。给出了FPGA实现结果。
{"title":"FPGA Implementation of Space-Based AIS","authors":"M. Adarsh, K. Adithya, Akshay Nimbal","doi":"10.1109/WISPNET.2018.8538703","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538703","url":null,"abstract":"The Automatic Identification System (AIS) is an automated tracking system used for exchanging static and dynamic vessel information between the AIS terminals. Data transmitted by the AIS station is received by other vessel or base station. But due to the range limitations in the ground-based network, we go for Space-based Universal ship-borne Automatic Identification System (S-AIS) wherein the AIS-Data is received by satellite for the global coverage. In this paper, we present the performance analysis of the space-based AIS system considering the Field of View (FoV) of the satellite spanning a large number of Self-Organizing Time Division Multiple Access (SOTDMA) clusters and implementation of AIS Modem using SOTDMA scheme with Gaussian Minimum Shift Keying (GMSK) modulation. The introduction of reconfigurable devices and high level hardware description languages have made the design of AIS modem to be implemented efficiently on Virtex5-xc5vlx110t FPGA. The system is optimized in terms of hardware utilization. The SOTDMA architecture is designed at the Behavioral level of abstraction with constraints as defined by International Telecommunication Union (ITU) and is implemented using Verilog Hardware Description Language (HDL) on the FPGA, GMSK modulator and demodulator is designed in Xilinx System Generator. The SOTDMA architecture implemented is tested by considering multiple users to verify the unique slot allocation within a SOTDMA cluster. The FPGA implementation results are presented.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"15 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81821050","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538519
G. Ramya, R. Manoharan
The proliferation of connected devices and data traffic leads to the design of “Software Defined Network” (SDN) that separates control logic from data forwarding logic for effective administration of the network through offering programmable interfaces. The control logic for a network is installed in SDN Controller, which may be placed in a few selected places of the network to effectively control network activities. There exist many research proposals to place the controllers in optimal locations of the network to improve the performances. However, a few attempts were made to identify the number of controllers required for a network and place them in optimal locations using meta-heuristic algorithms or mathematical models. Moreover, handling the fault tolerance in the event of controller problems due to heavy traffic has not been effectively addressed. Considering the aforementioned issues, this work proposes a Pareto based tabu search for optimal placement of controllers and a migration algorithm to handle controller overhead due to heavy traffic.
{"title":"Enhanced Multi-Controller Placements in SDN","authors":"G. Ramya, R. Manoharan","doi":"10.1109/WISPNET.2018.8538519","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538519","url":null,"abstract":"The proliferation of connected devices and data traffic leads to the design of “Software Defined Network” (SDN) that separates control logic from data forwarding logic for effective administration of the network through offering programmable interfaces. The control logic for a network is installed in SDN Controller, which may be placed in a few selected places of the network to effectively control network activities. There exist many research proposals to place the controllers in optimal locations of the network to improve the performances. However, a few attempts were made to identify the number of controllers required for a network and place them in optimal locations using meta-heuristic algorithms or mathematical models. Moreover, handling the fault tolerance in the event of controller problems due to heavy traffic has not been effectively addressed. Considering the aforementioned issues, this work proposes a Pareto based tabu search for optimal placement of controllers and a migration algorithm to handle controller overhead due to heavy traffic.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"106 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77690408","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538723
Tilendra Choudhary, L. Sharma, M. Bhuyan
In this paper, a variational mode decomposition (VMD) based heartbeat extraction framework is proposed for seismocardiogram (SCG) signal. A reference cardiac signal such as ECG is not needed in our proposed method. The proposed method consists of four major steps: signal decomposition using VMD algorithm, heart rate (HR) envelope construction, low pass filtering of constructed envelope, and annotation of smoothed envelope. The method annotates the HR envelope in terms of characteristic points such as PZCI, NZCI, PI, and TI. Each of the characteristic points can be used for SCG cycle extraction. The proposed method is tested and validated with CEBS database available at the Physionet archieve. Based on the experimental results, it is observed that the proposed method with peak instances (PI) achieves consistent results with good accuracy among all. The qualitative analysis of performance results shows good performance of the proposed method for healthy subjects.
{"title":"Standalone Heartbeat Extraction in SCG Signal Using Variational Mode Decomposition","authors":"Tilendra Choudhary, L. Sharma, M. Bhuyan","doi":"10.1109/WISPNET.2018.8538723","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538723","url":null,"abstract":"In this paper, a variational mode decomposition (VMD) based heartbeat extraction framework is proposed for seismocardiogram (SCG) signal. A reference cardiac signal such as ECG is not needed in our proposed method. The proposed method consists of four major steps: signal decomposition using VMD algorithm, heart rate (HR) envelope construction, low pass filtering of constructed envelope, and annotation of smoothed envelope. The method annotates the HR envelope in terms of characteristic points such as PZCI, NZCI, PI, and TI. Each of the characteristic points can be used for SCG cycle extraction. The proposed method is tested and validated with CEBS database available at the Physionet archieve. Based on the experimental results, it is observed that the proposed method with peak instances (PI) achieves consistent results with good accuracy among all. The qualitative analysis of performance results shows good performance of the proposed method for healthy subjects.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"32 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86171062","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538688
S. Biswas, Tanima Bhattacharya, Ramesh Saha
In today’s world there is rapid growth of technology in medical field. Body Sensor Networks are being used hugely for remote monitoring and support for people in need e.g. elderly, children, patients etc. Besides monitoring significant physiological parameters, posture and fall detection related to health monitoring has gained immense popularity. This work focuses on fall detection using accelerometer data as almost all people are nowadays carrying smartphones. A challenge lies in this field i.e. detecting sudden fall of an elderly or a patient because this needs immediate support. Delay can cause havoc to the person in need. This work basically aims to identify fall uniquely. An environment where the proposed algorithm can be deployed is proposed. Accuracy calculation of proposed technique is also given in support.
{"title":"On Fall Detection Using Smartphone Sensors","authors":"S. Biswas, Tanima Bhattacharya, Ramesh Saha","doi":"10.1109/WISPNET.2018.8538688","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538688","url":null,"abstract":"In today’s world there is rapid growth of technology in medical field. Body Sensor Networks are being used hugely for remote monitoring and support for people in need e.g. elderly, children, patients etc. Besides monitoring significant physiological parameters, posture and fall detection related to health monitoring has gained immense popularity. This work focuses on fall detection using accelerometer data as almost all people are nowadays carrying smartphones. A challenge lies in this field i.e. detecting sudden fall of an elderly or a patient because this needs immediate support. Delay can cause havoc to the person in need. This work basically aims to identify fall uniquely. An environment where the proposed algorithm can be deployed is proposed. Accuracy calculation of proposed technique is also given in support.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"15 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82663942","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538624
Saurabh Kumar, P. Suraj, Ritesh Kr. Badhai
In this paper, the design of a compact multiband antenna is proposed. The antenna is resonating at 2.4 GHz, 5.49 GHz and 7.83 GHz having band of operation 2.33–2.56 GHz for the IEEE 802.11b &g WLAN systems, 4.6–5.75 GHz for the IEEE 802.11a WLAN system.7.29–8.3 GHz for X band applications. The antenna has a compact size of 30 × 20 × 1.57 mm3. Concept of DGS is used in the proposed antenna for achieving the desired resonant frequency. Antenna parameters such as impedance bandwidth, current distributions, radiation patterns and antenna gain are studied using Ansoft HFSS. The antenna is found to have a peak gain of 6.06 dB at 7.83 GHz. The antenna is having an omni directional behavior throughout the range.
{"title":"Triple-band Compact Monopole Antenna Using Defected Ground Plane","authors":"Saurabh Kumar, P. Suraj, Ritesh Kr. Badhai","doi":"10.1109/WISPNET.2018.8538624","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538624","url":null,"abstract":"In this paper, the design of a compact multiband antenna is proposed. The antenna is resonating at 2.4 GHz, 5.49 GHz and 7.83 GHz having band of operation 2.33–2.56 GHz for the IEEE 802.11b &g WLAN systems, 4.6–5.75 GHz for the IEEE 802.11a WLAN system.7.29–8.3 GHz for X band applications. The antenna has a compact size of 30 × 20 × 1.57 mm3. Concept of DGS is used in the proposed antenna for achieving the desired resonant frequency. Antenna parameters such as impedance bandwidth, current distributions, radiation patterns and antenna gain are studied using Ansoft HFSS. The antenna is found to have a peak gain of 6.06 dB at 7.83 GHz. The antenna is having an omni directional behavior throughout the range.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"47 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90492265","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538518
R. Sivagami, R. Krishankumar, K. S. Ravichandran
Predicting the class labels for each pixel in a remote sensing image is a very challenging task. Due to the high spatial resolution of the remote sensing data, each pixel in a remote sensing image has a meaningful information. Therefore, identifying the homogeneous regions and annotating them with significant land cover information remains an open challenge. To handle this challenge supervised machine learning methods are adopted and they play a key role in dealing with these high dimensional data and understanding the landcover information of the geographical surfaces in a remote sensing image. The main aim of this study is to analyse the performance of different supervised learning algorithms for labelling each pixel for the images obtained from International Society for Photogrammetry and Remote Sensing (ISPRS) Vaihingen. From the comparative analysis it is concluded that the fine Gaussian support vector machine outperforms the other state of the art techniques with an overall classification Accuracy of about 75.1448%.
{"title":"A Comparative Analysis of Supervised Learning Techniques for Pixel Classification in Remote Sensing Images","authors":"R. Sivagami, R. Krishankumar, K. S. Ravichandran","doi":"10.1109/WISPNET.2018.8538518","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538518","url":null,"abstract":"Predicting the class labels for each pixel in a remote sensing image is a very challenging task. Due to the high spatial resolution of the remote sensing data, each pixel in a remote sensing image has a meaningful information. Therefore, identifying the homogeneous regions and annotating them with significant land cover information remains an open challenge. To handle this challenge supervised machine learning methods are adopted and they play a key role in dealing with these high dimensional data and understanding the landcover information of the geographical surfaces in a remote sensing image. The main aim of this study is to analyse the performance of different supervised learning algorithms for labelling each pixel for the images obtained from International Society for Photogrammetry and Remote Sensing (ISPRS) Vaihingen. From the comparative analysis it is concluded that the fine Gaussian support vector machine outperforms the other state of the art techniques with an overall classification Accuracy of about 75.1448%.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"8 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80868552","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538492
S. Bharathi, S. Natarajamani
This paper presents a broadband circularly polarized microstrip patch antenna. The proposed antenna is designed using an octagonal patch, finite ground plane with L shaped slot and two L shaped strips placed orthogonal to each other. By utilising the strips, Broadband, Axial Ratio bandwidth (ARBW) is achieved. From simulated results, impedance bandwidth (-10 dB) is 5.8 GHz (9.8 GHz–15.6 GHz) and AR bandwidth (3 dB) of the antenna is 7.3 GHz (8.7 GHz– 16 GHz). The antenna is proposed with a simple structure and broadband circularly polarized, which is used widely for X-Band applications.
{"title":"A Broadband Circularly Polarized Microstrip Patch Antenna for X-Band Applications","authors":"S. Bharathi, S. Natarajamani","doi":"10.1109/WISPNET.2018.8538492","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538492","url":null,"abstract":"This paper presents a broadband circularly polarized microstrip patch antenna. The proposed antenna is designed using an octagonal patch, finite ground plane with L shaped slot and two L shaped strips placed orthogonal to each other. By utilising the strips, Broadband, Axial Ratio bandwidth (ARBW) is achieved. From simulated results, impedance bandwidth (-10 dB) is 5.8 GHz (9.8 GHz–15.6 GHz) and AR bandwidth (3 dB) of the antenna is 7.3 GHz (8.7 GHz– 16 GHz). The antenna is proposed with a simple structure and broadband circularly polarized, which is used widely for X-Band applications.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"41 6 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88178158","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538681
J. George, J. Aravinth
The best remedy of pollution is its detection and control. The major pollutants in an urban area are asbestos and aerosol. This work introduces a technique to detect the pollutants in an area using hyperspectral data. Due to its enriched spectral information very minute contents are identified. The hyperspectral image is captured with the Telops' Hyper- Cam which contains thermal infrared bands which is used to create temperature map of that land surface thereby the different objects are classified according to different temperature ranges. The visible bands are also used to classify the image and the percentage of area under each class is calculated. To assess the accuracy of each classifier, confusion matrix is computed and identified that Support Vector Machine (SVM) classifier is the best other than Spectral Angle Mapper (SAM) and Spectral Information Divergence (SID) having accuracy of 94.89%. The amount of aerosol present in a locality is calculated with respect to a factor called $PM_{10}$ which gives the concentration of particles of dimension less than $10 mu mathrm {m}.$ Using the relation between $PM_{10}$ and atmospheric reflectance the value of $PM_{10}$ is obtained between $34 mu mathrm {g}/mathrm {m}^{3}mathrm {a}mathrm {n}mathrm {d}66mu mathrm {g}/mathrm {m}^{3}.$ It's level is above $15 mu mathrm {g}/mathrm {m}^{3}$which is the safe value according to Canadian jurisdiction so there is chance of hazardous health effects on human beings.
治理污染的最好办法是检测和控制污染。城市地区的主要污染物是石棉和气溶胶。本文介绍了一种利用高光谱数据检测某一区域污染物的技术。由于其丰富的光谱信息，非常微小的内容被识别。高光谱图像是由Telops的Hyper- Cam捕获的，其中包含热红外波段，用于创建陆地表面的温度图，从而根据不同的温度范围对不同的物体进行分类。可见光波段也被用来对图像进行分类，并计算每个类别下的面积百分比。为了评估每个分类器的准确性，计算了混淆矩阵，并确定支持向量机(SVM)分类器是除光谱角映射器(SAM)和光谱信息发散器(SID)之外的最佳分类器，准确率为94.89%。一个地区存在的气溶胶量是根据一个称为$PM_{10}$的因子来计算的，该因子给出了尺寸小于$10 mu mathm {m}的颗粒浓度。利用PM_{10}$与大气反射率之间的关系，得到PM_{10}$的值在$34 mu mathm {g}/ mathm {m}^{3} mathm {a} mathm {n} mathm {d}66mu mathm {g}/ mathm {m}^{3}之间。它的水平高于$15 mu mathm {g}/ mathm {m}^{3}$，这是根据加拿大司法管辖区的安全值，因此有可能对人类健康产生有害影响。
{"title":"Estimating Pollution Contents in an Urban Area using Airborne Hyperspectral Thermal Data","authors":"J. George, J. Aravinth","doi":"10.1109/WISPNET.2018.8538681","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538681","url":null,"abstract":"The best remedy of pollution is its detection and control. The major pollutants in an urban area are asbestos and aerosol. This work introduces a technique to detect the pollutants in an area using hyperspectral data. Due to its enriched spectral information very minute contents are identified. The hyperspectral image is captured with the Telops' Hyper- Cam which contains thermal infrared bands which is used to create temperature map of that land surface thereby the different objects are classified according to different temperature ranges. The visible bands are also used to classify the image and the percentage of area under each class is calculated. To assess the accuracy of each classifier, confusion matrix is computed and identified that Support Vector Machine (SVM) classifier is the best other than Spectral Angle Mapper (SAM) and Spectral Information Divergence (SID) having accuracy of 94.89%. The amount of aerosol present in a locality is calculated with respect to a factor called $PM_{10}$ which gives the concentration of particles of dimension less than $10 mu mathrm {m}.$ Using the relation between $PM_{10}$ and atmospheric reflectance the value of $PM_{10}$ is obtained between $34 mu mathrm {g}/mathrm {m}^{3}mathrm {a}mathrm {n}mathrm {d}66mu mathrm {g}/mathrm {m}^{3}.$ It's level is above $15 mu mathrm {g}/mathrm {m}^{3}$which is the safe value according to Canadian jurisdiction so there is chance of hazardous health effects on human beings.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"28 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73455565","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538651
Manali Gupta, Vikash, S. Varma
Nowadays, Aerial Mesh Network is widely used in many areas by the tradition ways. We face some problem related to self configuration and controlled configuration. In this paper we propose a method which provides a feasible solution for some issue like intermittent link connectivity and mobility. For that we propose Middleware technology using Internet of Things (IoT) technology to configure Aerial Mesh Networks. So each device is configured with the IoT and work together as an Aerial Mesh Network. By using this methodology we have centralized controlled system to application, which can be applicable in different areas.
{"title":"Configuration of Aerial Mesh Networks with Internet of Things","authors":"Manali Gupta, Vikash, S. Varma","doi":"10.1109/WISPNET.2018.8538651","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538651","url":null,"abstract":"Nowadays, Aerial Mesh Network is widely used in many areas by the tradition ways. We face some problem related to self configuration and controlled configuration. In this paper we propose a method which provides a feasible solution for some issue like intermittent link connectivity and mobility. For that we propose Middleware technology using Internet of Things (IoT) technology to configure Aerial Mesh Networks. So each device is configured with the IoT and work together as an Aerial Mesh Network. By using this methodology we have centralized controlled system to application, which can be applicable in different areas.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"4 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84805498","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 : 2018-03-01DOI: 10.1109/WISPNET.2018.8538573
Ramesh Saha, S. Biswas
Mobility management plays a vital role in seamless data transmission for providing timely support to WBAN users. Health data should be transmitted without any interruption in with mobility of BAN user for monitoring and support in e-healthcare system. In this paper we illustrate different scenarios considering mobility of BAN user. We consider data transfer from patient to medical server using Internet technology, cloud services, vehicular ad-hoc network (VANET) and satellite communication for different scenarios. We propose a health monitoring framework and develop an analytical model for determining throughput of WBAN. Our numerical analysis reveals the throughput of different scenarios when throughput increases, end -to-end packet loss probability decreases with increase in nested communication links between sink node and medical server.
{"title":"Analytical Study on Data Transmission in WBAN With User Mobility Support","authors":"Ramesh Saha, S. Biswas","doi":"10.1109/WISPNET.2018.8538573","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538573","url":null,"abstract":"Mobility management plays a vital role in seamless data transmission for providing timely support to WBAN users. Health data should be transmitted without any interruption in with mobility of BAN user for monitoring and support in e-healthcare system. In this paper we illustrate different scenarios considering mobility of BAN user. We consider data transfer from patient to medical server using Internet technology, cloud services, vehicular ad-hoc network (VANET) and satellite communication for different scenarios. We propose a health monitoring framework and develop an analytical model for determining throughput of WBAN. Our numerical analysis reveals the throughput of different scenarios when throughput increases, end -to-end packet loss probability decreases with increase in nested communication links between sink node and medical server.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"180 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83011601","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}
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