Pub Date : 2017-03-01DOI: 10.1109/C-CODE.2017.7918913
Furqan Jameel, Faisal, M. Haider, A. A. Butt
Wireless Body Area Networks (BANs) have drawn significant attention of research community all over the world due to their applications in healthcare. This paper adopts the cluster based approach to analytically model the implications of inter-body interference in BANs. To be specific, we derive exact closed-form expression for outage probability for co-channel interference under Rayleigh and Rician fading. We consider two cases, where in first case channel between sensors and cluster head is Rice distributed and channel between main and interfering cluster head is Rayleigh distributed. In second case, channel between sensors and cluster head is Rayleigh distributed and channel between main and interfering cluster head is Rice distributed. We also evaluate the significance of Rician-K factor for both cases. Extensive simulations are performed to validate our findings which clearly show the effect of inter-body interference on the performance of BANs.
{"title":"High SNR analysis of inter-body interference in Body Area Networks","authors":"Furqan Jameel, Faisal, M. Haider, A. A. Butt","doi":"10.1109/C-CODE.2017.7918913","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918913","url":null,"abstract":"Wireless Body Area Networks (BANs) have drawn significant attention of research community all over the world due to their applications in healthcare. This paper adopts the cluster based approach to analytically model the implications of inter-body interference in BANs. To be specific, we derive exact closed-form expression for outage probability for co-channel interference under Rayleigh and Rician fading. We consider two cases, where in first case channel between sensors and cluster head is Rice distributed and channel between main and interfering cluster head is Rayleigh distributed. In second case, channel between sensors and cluster head is Rayleigh distributed and channel between main and interfering cluster head is Rice distributed. We also evaluate the significance of Rician-K factor for both cases. Extensive simulations are performed to validate our findings which clearly show the effect of inter-body interference on the performance of BANs.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134303829","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918915
Furqan Jameel, Faisal, M. Haider, A. A. Butt
Vehicular Ad-hoc Networks (VANETs) are considered as one of the promising technologies for reduction of accidents and provisioning of infotainment services on the road. Due to high mobility of vehicles, wireless channel response rapidly changes from time to time which results into random fading. Therefore, this paper provides in depth analysis of performance of VANETs under different fading channels. To be specific, we adopt the cluster based approach to analytically model VANETs. Closed-form expressions of packet loss probability for different fading (i.e. Rayleigh, Rician, Nakagami-m and Weibull channel) models have been provided considering both MAC and Physical Layer characteristics. The derived expressions also encompass the effect of decoding failure and packet collision based on signal to noise ratio (SNR) and back-off timer, respectively. Our results characterizes the impact of channel conditions, vehicle speed, and contention window on the performance of the cluster based VANETs. Extensive simulations are performed to verify our findings.
{"title":"Performance analysis of VANETs under Rayleigh, Rician, Nakagami-m and Weibull fading","authors":"Furqan Jameel, Faisal, M. Haider, A. A. Butt","doi":"10.1109/C-CODE.2017.7918915","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918915","url":null,"abstract":"Vehicular Ad-hoc Networks (VANETs) are considered as one of the promising technologies for reduction of accidents and provisioning of infotainment services on the road. Due to high mobility of vehicles, wireless channel response rapidly changes from time to time which results into random fading. Therefore, this paper provides in depth analysis of performance of VANETs under different fading channels. To be specific, we adopt the cluster based approach to analytically model VANETs. Closed-form expressions of packet loss probability for different fading (i.e. Rayleigh, Rician, Nakagami-m and Weibull channel) models have been provided considering both MAC and Physical Layer characteristics. The derived expressions also encompass the effect of decoding failure and packet collision based on signal to noise ratio (SNR) and back-off timer, respectively. Our results characterizes the impact of channel conditions, vehicle speed, and contention window on the performance of the cluster based VANETs. Extensive simulations are performed to verify our findings.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134640942","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918954
Naveen Masood, Humera Farooq, Irfan Mustafa
Most of the Electroencephalography (EEG) based brain computer interfaces (BCIs) use large number of channels to capture the signals from subject's brain. This is one of the major issues in commercial and out of the lab usage of such systems. Common Spatial Pattern (CSP) algorithms are widely used for feature extraction in BCI systems for motor imagery. As the EEG signals have noise and overfitting issues, various regularized CSP algorithms are introduced to overcome these factors. In this work, a method is introduced to find the variant of CSP that achieves maximum classification accuracy with least number of EEG channels. The approach is based on firstly identify the spatial filter weights using complete set of channels. In the next step, the channels are selected based on the maximal filter weights. Channels with highest values are included to find the accuracy in next run and ultimately the optimum combination of number of channels, CSP variant and classification accuracy are reported. Multichannel data comprised of 60 electrodes from BCI Competition III dataset IIIa from three subjects who performed left hand, right hand, foot and tongue MI is considered for this purpose. For the data analyzed in this study, it is found that instead of using data from 60 electrodes only six can be used without significantly compromising the classification accuracy.
{"title":"Selection of EEG channels based on Spatial filter weights","authors":"Naveen Masood, Humera Farooq, Irfan Mustafa","doi":"10.1109/C-CODE.2017.7918954","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918954","url":null,"abstract":"Most of the Electroencephalography (EEG) based brain computer interfaces (BCIs) use large number of channels to capture the signals from subject's brain. This is one of the major issues in commercial and out of the lab usage of such systems. Common Spatial Pattern (CSP) algorithms are widely used for feature extraction in BCI systems for motor imagery. As the EEG signals have noise and overfitting issues, various regularized CSP algorithms are introduced to overcome these factors. In this work, a method is introduced to find the variant of CSP that achieves maximum classification accuracy with least number of EEG channels. The approach is based on firstly identify the spatial filter weights using complete set of channels. In the next step, the channels are selected based on the maximal filter weights. Channels with highest values are included to find the accuracy in next run and ultimately the optimum combination of number of channels, CSP variant and classification accuracy are reported. Multichannel data comprised of 60 electrodes from BCI Competition III dataset IIIa from three subjects who performed left hand, right hand, foot and tongue MI is considered for this purpose. For the data analyzed in this study, it is found that instead of using data from 60 electrodes only six can be used without significantly compromising the classification accuracy.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122000814","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918948
Naeem Mumtaz, Sana Arif, Nimra Qadeer, Z. Khan
This paper describes the design and development of a low cost Bluetooth based wireless inertial measurement unit (WIMU) for pedestrian navigation applications (PNS). Our aim is to use commercially available micro electromechanical system (MEMS) based inertial sensors to develop a miniature WIMU for GPS denied navigation applications including PNS. The challenging issues with noisy MEMS sensors and their integration to obtain attitude information is handled carefully by using sensor fusion algorithm while ensuring as minimum delay as possible for real time decision. The results have been compared with the sensor suite available in the Samsung Galaxy s5 smart phone and found to accurately following the trends in roll, pitch, yaw angles as well as x-y-z accelerations.
{"title":"Development of a low cost wireless IMU using MEMS sensors for pedestrian navigation","authors":"Naeem Mumtaz, Sana Arif, Nimra Qadeer, Z. Khan","doi":"10.1109/C-CODE.2017.7918948","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918948","url":null,"abstract":"This paper describes the design and development of a low cost Bluetooth based wireless inertial measurement unit (WIMU) for pedestrian navigation applications (PNS). Our aim is to use commercially available micro electromechanical system (MEMS) based inertial sensors to develop a miniature WIMU for GPS denied navigation applications including PNS. The challenging issues with noisy MEMS sensors and their integration to obtain attitude information is handled carefully by using sensor fusion algorithm while ensuring as minimum delay as possible for real time decision. The results have been compared with the sensor suite available in the Samsung Galaxy s5 smart phone and found to accurately following the trends in roll, pitch, yaw angles as well as x-y-z accelerations.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"566 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123523500","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918927
Raabia Asif, M. A. Qadir
This paper describes the Nobel Prize schema available on the Nobel Prize official website. The Noble Prize schema only caters major facts regarding the prize data, a lot of details about the prize are still unstructured and stored in the form of html files. This research identifies some shortcomings in the schema and proposes additions in the schema to cater some of the html files.
{"title":"Enhancing the Nobel Prize schema","authors":"Raabia Asif, M. A. Qadir","doi":"10.1109/C-CODE.2017.7918927","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918927","url":null,"abstract":"This paper describes the Nobel Prize schema available on the Nobel Prize official website. The Noble Prize schema only caters major facts regarding the prize data, a lot of details about the prize are still unstructured and stored in the form of html files. This research identifies some shortcomings in the schema and proposes additions in the schema to cater some of the html files.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123330945","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918909
A. Elahi, I. Qureshi, Mehreen Atif, N. Gul
Cognitive radio (CR) is the novel technology in wireless communication, which has an ability to use the vacant spectrum of primary user smartly. Non Contiguous orthogonal frequency division multiplexing (NCOFDM), a multicarrier system is considered as the appropriate candidate for CR physical layer, but due to its high sidelobes it suffers from high out of band (OOB) radiation, that can affect its spectrum sharing capability. In this paper, we proposed two search algorithms: Genetic Algorithm (GA) and Firefly algorithm (FFA) for estimating the amplitudes of the Cancellation subcarriers (CCs). These CCs are inserted on either side of the used NCOFDM signal to cancel the sidelobes. Simulation results show that better sidelobe reduction is achieved by the proposed algorithms as compared to the existing techniques in the literature.
{"title":"Interference reduction in Cognitive radio networks using Genetic and Firefly Algorithms","authors":"A. Elahi, I. Qureshi, Mehreen Atif, N. Gul","doi":"10.1109/C-CODE.2017.7918909","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918909","url":null,"abstract":"Cognitive radio (CR) is the novel technology in wireless communication, which has an ability to use the vacant spectrum of primary user smartly. Non Contiguous orthogonal frequency division multiplexing (NCOFDM), a multicarrier system is considered as the appropriate candidate for CR physical layer, but due to its high sidelobes it suffers from high out of band (OOB) radiation, that can affect its spectrum sharing capability. In this paper, we proposed two search algorithms: Genetic Algorithm (GA) and Firefly algorithm (FFA) for estimating the amplitudes of the Cancellation subcarriers (CCs). These CCs are inserted on either side of the used NCOFDM signal to cancel the sidelobes. Simulation results show that better sidelobe reduction is achieved by the proposed algorithms as compared to the existing techniques in the literature.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129928205","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918935
Muhammad Tariq Baloch, S. Zaman, F. Wahab
Alpha (α) and Beta (β) Islet cells in pancreas of Langerhans can be utilized for analyzing primitive diabetes of both types 1 and 2. Manual counting and conventional investigation of such histological tissues is quite laborious, time taking, less reliable, and subject to error. In order to achieve more accurate results as quickly as possible, the presented work devices a novel color scheme code (I4) from existing schemes (I1,I2,I3). Moreover the work offers an Automated Quantification technique for enumeration and segmentation of pancreatic mass from microscopic images. The technique includes five modules; (1) Segmentation to magnify Islet cells from the rest of mass, (2) Equalization uses Contrast-Limited Adaptive Histogram equalization method in order to enhance contrasts between different intensity levels, (3) Color Space Formation uses existing color spaces with proposed smart calculations to construct novel color space code, (4) Image Conversion applies novel color space code on the image followed by certain post processing (binarization, hole-filling, erosion), and (5) Cell Analysis uses connected component labeling to finally identify and label the cells. The technique is evaluated against a number of diverse microscopic images obtaining satisfactory empirical results with recognition confidence interval in terms of true positive, false positive, and false negative are respectively 97.75 ± 2.64, 1.79 ± 1.04, and 1.37 ± 0.84. The work offers two contributions: it devices a novel color scheme, and offers an automated quantification methodology.
{"title":"Extended color code and Automated Quantification of Islet cells","authors":"Muhammad Tariq Baloch, S. Zaman, F. Wahab","doi":"10.1109/C-CODE.2017.7918935","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918935","url":null,"abstract":"Alpha (α) and Beta (β) Islet cells in pancreas of Langerhans can be utilized for analyzing primitive diabetes of both types 1 and 2. Manual counting and conventional investigation of such histological tissues is quite laborious, time taking, less reliable, and subject to error. In order to achieve more accurate results as quickly as possible, the presented work devices a novel color scheme code (I4) from existing schemes (I1,I2,I3). Moreover the work offers an Automated Quantification technique for enumeration and segmentation of pancreatic mass from microscopic images. The technique includes five modules; (1) Segmentation to magnify Islet cells from the rest of mass, (2) Equalization uses Contrast-Limited Adaptive Histogram equalization method in order to enhance contrasts between different intensity levels, (3) Color Space Formation uses existing color spaces with proposed smart calculations to construct novel color space code, (4) Image Conversion applies novel color space code on the image followed by certain post processing (binarization, hole-filling, erosion), and (5) Cell Analysis uses connected component labeling to finally identify and label the cells. The technique is evaluated against a number of diverse microscopic images obtaining satisfactory empirical results with recognition confidence interval in terms of true positive, false positive, and false negative are respectively 97.75 ± 2.64, 1.79 ± 1.04, and 1.37 ± 0.84. The work offers two contributions: it devices a novel color scheme, and offers an automated quantification methodology.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126172372","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918932
Yousra Asim, Wajeeha Naeem, Ahmad Kamran Malik
Online Social Network facilitate its users to form groups for sharing their personal information, interests and activities with their friends, relatives and others. Such type of information disclosure can cause problems for people in terms of security. Access of different group members is controlled in Online Social Networks to minimize such security risks to personal information and user resources. Researchers have used social network actor-relationship graph to control the access based on relationship type, trust and attributes. This paper discusses available techniques in CBAC, ABAC and ReBAC to provide security to social network data and objects. A community-centric access control model using brokerage roles, attributes, and trust techniques is presented with its formal description.
在线社交网络方便用户组成小组，与他们的朋友、亲戚和其他人分享他们的个人信息、兴趣和活动。这种类型的信息泄露会给人们带来安全方面的问题。Online Social Networks对不同群组成员的访问进行了控制，将个人信息和用户资源的安全风险降到最低。研究者基于关系类型、信任和属性，利用社会网络角色关系图对访问进行控制。本文讨论了在CBAC、ABAC和ReBAC中可用的技术来为社交网络数据和对象提供安全性。本文给出了一个以社区为中心的访问控制模型，该模型使用代理角色、属性和信任技术，并给出了它的正式描述。
{"title":"A community-centric access control scheme for Online Social Networks","authors":"Yousra Asim, Wajeeha Naeem, Ahmad Kamran Malik","doi":"10.1109/C-CODE.2017.7918932","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918932","url":null,"abstract":"Online Social Network facilitate its users to form groups for sharing their personal information, interests and activities with their friends, relatives and others. Such type of information disclosure can cause problems for people in terms of security. Access of different group members is controlled in Online Social Networks to minimize such security risks to personal information and user resources. Researchers have used social network actor-relationship graph to control the access based on relationship type, trust and attributes. This paper discusses available techniques in CBAC, ABAC and ReBAC to provide security to social network data and objects. A community-centric access control model using brokerage roles, attributes, and trust techniques is presented with its formal description.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124132976","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918942
S. Nisar, Ihsan Ullah
Nonlinear family of Kalman filters is employed to a nonlinear dynamic system for the purpose of state estimation. Extended, unscented and cubature Kalman filters are formulated and deployed to the nonlinear estimation of Global Positioning System(GPS) model. The state dynamics and measurement model of GPS is illustrated. Performance of extended, unscented and cubature Kalman filter is presented through simulation results. The results prove that the proposed use of CKF for GPS navigation outperforms other nonlinear filters. Computation complexity of each filter is also computed for comparison.
{"title":"Non-linear filtering techniques for high precision GPS applications","authors":"S. Nisar, Ihsan Ullah","doi":"10.1109/C-CODE.2017.7918942","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918942","url":null,"abstract":"Nonlinear family of Kalman filters is employed to a nonlinear dynamic system for the purpose of state estimation. Extended, unscented and cubature Kalman filters are formulated and deployed to the nonlinear estimation of Global Positioning System(GPS) model. The state dynamics and measurement model of GPS is illustrated. Performance of extended, unscented and cubature Kalman filter is presented through simulation results. The results prove that the proposed use of CKF for GPS navigation outperforms other nonlinear filters. Computation complexity of each filter is also computed for comparison.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117297238","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 : 2017-03-01DOI: 10.1109/C-CODE.2017.7918907
Sajjad Hussain, Wajiha Munir
This paper provides a detailed review of Ultra Wide Band (UWB) antennas designed for Body Area Network (BAN) applications, published during last five years. Design parameters namely substrate, size, feeder, bandwidth, design structure (geometry) and use of Artificial Magnetic Conductor (AMC) are discussed. Performance in term of gain, radiation pattern, Specific Absorption Rate (SAR) of antennas near human body are reviewed.
{"title":"UWB BAN antennas: Recent trend and developments","authors":"Sajjad Hussain, Wajiha Munir","doi":"10.1109/C-CODE.2017.7918907","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918907","url":null,"abstract":"This paper provides a detailed review of Ultra Wide Band (UWB) antennas designed for Body Area Network (BAN) applications, published during last five years. Design parameters namely substrate, size, feeder, bandwidth, design structure (geometry) and use of Artificial Magnetic Conductor (AMC) are discussed. Performance in term of gain, radiation pattern, Specific Absorption Rate (SAR) of antennas near human body are reviewed.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114222469","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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