Pub Date : 2017-03-01DOI: 10.1109/C-CODE.2017.7918967
Kim Stansfield, F. Azmat
The Internet of Things (IoT) provides huge opportunities for organisations developing new business models supported by interconnected product, service and software systems. Due to the complexity of IoT systems, the understanding and development of attractive new system functions is a great challenge compared with traditional, stand-alone product systems.
{"title":"Developing high value IoT solutions using AI enhanced ISO 16355 for QFD integrating market drivers into the design of IoT offerings","authors":"Kim Stansfield, F. Azmat","doi":"10.1109/C-CODE.2017.7918967","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918967","url":null,"abstract":"The Internet of Things (IoT) provides huge opportunities for organisations developing new business models supported by interconnected product, service and software systems. Due to the complexity of IoT systems, the understanding and development of attractive new system functions is a great challenge compared with traditional, stand-alone product systems.","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":"115427716","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.2017.7918929
Asif Muhammad, Muhammad Arshad Islam
In this paper, we have examined various implementations of matrix-matrix multiplication using .NET platform. Matrix multiplication is considered one of the basic operation in the field of linear algebra that is used various computer science algorithms. We have used the all loop reordering of traditional n3 sequential algorithm to analyze its behavior on the .NET common language run-time over more than 10 varying sizes of matrices. Moreover we have also analyzed the blocking version of the traditional multiplication algorithm to observe the cache behavior. We have used Intel Corei5 Arandale 2.53 GHz and Haswell 3.30 GHz processors with dual channel RAM for our experiments. Our experiments show that KIJ and IKJ reordering have performed better than the rest of the loop reordering. Furthermore, blocking implementation of matrix multiplication have not been able to gain significantly on .NET platform. In future, we will utilize task parallel library included in .NET 4.5 to gauge the performance efficiency of linear algebraic operations.
{"title":"Performance evaluation of matrix multiplication in Virtual Machine","authors":"Asif Muhammad, Muhammad Arshad Islam","doi":"10.1109/C-CODE.2017.7918929","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918929","url":null,"abstract":"In this paper, we have examined various implementations of matrix-matrix multiplication using .NET platform. Matrix multiplication is considered one of the basic operation in the field of linear algebra that is used various computer science algorithms. We have used the all loop reordering of traditional n3 sequential algorithm to analyze its behavior on the .NET common language run-time over more than 10 varying sizes of matrices. Moreover we have also analyzed the blocking version of the traditional multiplication algorithm to observe the cache behavior. We have used Intel Corei5 Arandale 2.53 GHz and Haswell 3.30 GHz processors with dual channel RAM for our experiments. Our experiments show that KIJ and IKJ reordering have performed better than the rest of the loop reordering. Furthermore, blocking implementation of matrix multiplication have not been able to gain significantly on .NET platform. In future, we will utilize task parallel library included in .NET 4.5 to gauge the performance efficiency of linear algebraic operations.","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":"130963013","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.2017.7918905
Fatima Nasim
A swift growth in telecom sector and ever increasing demands in terms of data rates, error rate and delay has led to the emergence of Multiple-Input and Multiple-Output (MIMO) systems. MIMO systems are used in modern wireless technologies such as WIMAX, LTE, LTE-A, etc. In this paper, we introduce a novel statistical analysis of channels on pair-wise antenna for 4×4 order MIMO system. For comparative analysis, we plot the mean correlation and its impact on probability distribution function (PDF), cumulative distribution function (CDF), eigen values, and correlation variance. Also, minimum and maximum channel capacities have been calculated using monte-carlo simulation with different highly correlated (HC) antenna elements using spatial multiplexing as the transmission scheme.
{"title":"Statistical analysis of a MIMO channel","authors":"Fatima Nasim","doi":"10.1109/C-CODE.2017.7918905","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918905","url":null,"abstract":"A swift growth in telecom sector and ever increasing demands in terms of data rates, error rate and delay has led to the emergence of Multiple-Input and Multiple-Output (MIMO) systems. MIMO systems are used in modern wireless technologies such as WIMAX, LTE, LTE-A, etc. In this paper, we introduce a novel statistical analysis of channels on pair-wise antenna for 4×4 order MIMO system. For comparative analysis, we plot the mean correlation and its impact on probability distribution function (PDF), cumulative distribution function (CDF), eigen values, and correlation variance. Also, minimum and maximum channel capacities have been calculated using monte-carlo simulation with different highly correlated (HC) antenna elements using spatial multiplexing as the transmission scheme.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"28 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":"115244034","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.2017.7918941
Asma Khan, Azeema Sadia, Sohaib Ahmed, H. Tabassum, M. Khan
The use of the ontologies has been prevalent in many domains especially in medical diagnostic systems. Ontologies exhibit features including knowledge representation, reusability, sharing, and logical reasoning support. Thus ontology-driven medical diagnostic systems can assist physicians in order to determine the most probable diagnosis of the patients. Traditionally, these systems have used deductive or inductive way of reasoning for assisting physicians. Nevertheless, the abductive reasoning has less explored in the literature. Further, numerous ontologies have been developed for diagnoses diseases such as diabetes, cancer, chronic and inflammatory. However, no such ontology was found in the literature that deals with a hepatitis disease. Hence, in this paper, the hepatitis ontology ‘HEPO’ has been developed and validated for designing abductive medical diagnostic systems.
{"title":"HEPO: The hepatitis ontology for abductive medical diagnostic systems","authors":"Asma Khan, Azeema Sadia, Sohaib Ahmed, H. Tabassum, M. Khan","doi":"10.1109/C-CODE.2017.7918941","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918941","url":null,"abstract":"The use of the ontologies has been prevalent in many domains especially in medical diagnostic systems. Ontologies exhibit features including knowledge representation, reusability, sharing, and logical reasoning support. Thus ontology-driven medical diagnostic systems can assist physicians in order to determine the most probable diagnosis of the patients. Traditionally, these systems have used deductive or inductive way of reasoning for assisting physicians. Nevertheless, the abductive reasoning has less explored in the literature. Further, numerous ontologies have been developed for diagnoses diseases such as diabetes, cancer, chronic and inflammatory. However, no such ontology was found in the literature that deals with a hepatitis disease. Hence, in this paper, the hepatitis ontology ‘HEPO’ has been developed and validated for designing abductive medical diagnostic systems.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"7 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":"122633050","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}
Evolutionary Community Outliers (ECO) is a type of outlier group in which the average evolutionary behavior of certain objects is different from the same community by some measures. The detection, classification and removal of ECO are a very important and challenging task of data cleaning and preprocessing. ECO is different from the old outlier detection technique, which detect objects that have fairly diverse nature as compared with the community objects. Different outlier detection and removal studies have been presented in the last few years, but there are some limitations due to the individual process at a time. The proposed research approach uses Support Vector Machine (SVM) and Logistic Regression (LR) at the same time to accurately classify, detect and remove the outliers form the Evolutionary community dataset, which is a new technique for outlier detection and removal. We have used Azure Machine Learning (ML) which is the state of the art data processing tool to test our proposed technique on the Forest Fire data of Southern Algarve Portugal to show the result, which gives us very good results on the given data. The accuracy of these outliers' detection and removal is 73–93 percent varying due to the data acquisition process. Proposed technique shows remarkable results in detecting diverse ECO on both real time and temporal datasets.
进化群落异类(Evolutionary Community Outliers, ECO)是指某些对象的平均进化行为在一定程度上不同于同一群落的一种异常群。ECO的检测、分类和去除是数据清洗和预处理中非常重要和具有挑战性的任务。ECO不同于旧的离群点检测技术，旧的离群点检测技术检测的对象与社区对象相比具有相当多样化的性质。在过去的几年中，已经提出了不同的异常值检测和去除研究，但由于单个过程的限制，存在一些局限性。该方法采用支持向量机(SVM)和Logistic回归(LR)相结合的方法对进化群落数据集中的异常点进行准确分类、检测和去除，是一种新的异常点检测和去除技术。我们使用Azure机器学习(ML)，这是最先进的数据处理工具，在葡萄牙阿尔加维南部的森林火灾数据上测试我们提出的技术，以显示结果，这给了我们非常好的结果。由于数据采集过程的不同，这些异常值的检测和去除的准确性为73 - 93%。该技术在实时和时间数据集上检测不同的ECO都取得了显著的效果。
{"title":"Outliers classification for mining evolutionary community using Support Vector Machine and Logistic Regression on Azure ML","authors":"Shahi Dost, Sajid Anwer, Faryal Saud, Maham Shabbir","doi":"10.1109/C-CODE.2017.7918931","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918931","url":null,"abstract":"Evolutionary Community Outliers (ECO) is a type of outlier group in which the average evolutionary behavior of certain objects is different from the same community by some measures. The detection, classification and removal of ECO are a very important and challenging task of data cleaning and preprocessing. ECO is different from the old outlier detection technique, which detect objects that have fairly diverse nature as compared with the community objects. Different outlier detection and removal studies have been presented in the last few years, but there are some limitations due to the individual process at a time. The proposed research approach uses Support Vector Machine (SVM) and Logistic Regression (LR) at the same time to accurately classify, detect and remove the outliers form the Evolutionary community dataset, which is a new technique for outlier detection and removal. We have used Azure Machine Learning (ML) which is the state of the art data processing tool to test our proposed technique on the Forest Fire data of Southern Algarve Portugal to show the result, which gives us very good results on the given data. The accuracy of these outliers' detection and removal is 73–93 percent varying due to the data acquisition process. Proposed technique shows remarkable results in detecting diverse ECO on both real time and temporal datasets.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"24 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":"132177715","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.2017.7918944
Anum Mehmood, M. Akram, A. Tariq
Detection and localization of vertebra body plays a significant role in the diagnosis of many spine disorders such as c-spine trauma and their treatment including cervical surgeries. This requires great effort when one is dealing with poor contrast and noisy set of images like cervical radiographs. This paper aims to describe a technique to localize and detect the centroids of c-spine. The presented technique takes the poor contrast cervical radiograph and enhance the contrast of input image. Then edges of enhanced image are detected. Next, a modified generalized Hough Transform (GHT) is applied on manually selected region of interest (ROI) using a mean model of vertebra body as a template image. As a result voted points, localizing c-spine are obtained and fuzzy c means (FCM) clustering is performed on these points to obtain the centroids of five vertebrae (C3 – C7). The presented technique has been tested on 150 cases of publically available database ‘NHANES II’ and achieved 93.76% accuracy.
{"title":"Vertebra localization and centroid detection from cervical radiographs","authors":"Anum Mehmood, M. Akram, A. Tariq","doi":"10.1109/C-CODE.2017.7918944","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918944","url":null,"abstract":"Detection and localization of vertebra body plays a significant role in the diagnosis of many spine disorders such as c-spine trauma and their treatment including cervical surgeries. This requires great effort when one is dealing with poor contrast and noisy set of images like cervical radiographs. This paper aims to describe a technique to localize and detect the centroids of c-spine. The presented technique takes the poor contrast cervical radiograph and enhance the contrast of input image. Then edges of enhanced image are detected. Next, a modified generalized Hough Transform (GHT) is applied on manually selected region of interest (ROI) using a mean model of vertebra body as a template image. As a result voted points, localizing c-spine are obtained and fuzzy c means (FCM) clustering is performed on these points to obtain the centroids of five vertebrae (C3 – C7). The presented technique has been tested on 150 cases of publically available database ‘NHANES II’ and achieved 93.76% accuracy.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"425 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":"116403074","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.2017.7918899
Ayesha Habib, Hafsa Anam, Warda Anwaar, Hareem Afaq, Y. Amin, H. Tenhunen
Internet-of-things (IoT) being an emerging technology has been introduced as a more reliable and promising solution to meet the today's communication requirements. Radio frequency identification (RFID) is among one of the enabling technologies to support IoT. The proposed tag is multi-resonator based structure, loaded with 7-triangular shaped cascaded resonators. Each triangle is loaded with two open slots. The slot positioning for each triangle structure is different so that they can produce resonances at different frequencies. Therefore, the tag is capable of transmitting 7-bit data, as each resonator corresponds to one bit. The tag can generate 27=128 binary combination to tag multiple items/objects. The tag structure is designed and analyzed for three different substrates, i.e., Taconic TLX-0, RT/duroid 5880 and Kapton®HN. The low-cost frequency signature based chipless RFID tag can be used in smart tracking applications.
{"title":"Internet-of-things based smart tracking","authors":"Ayesha Habib, Hafsa Anam, Warda Anwaar, Hareem Afaq, Y. Amin, H. Tenhunen","doi":"10.1109/C-CODE.2017.7918899","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918899","url":null,"abstract":"Internet-of-things (IoT) being an emerging technology has been introduced as a more reliable and promising solution to meet the today's communication requirements. Radio frequency identification (RFID) is among one of the enabling technologies to support IoT. The proposed tag is multi-resonator based structure, loaded with 7-triangular shaped cascaded resonators. Each triangle is loaded with two open slots. The slot positioning for each triangle structure is different so that they can produce resonances at different frequencies. Therefore, the tag is capable of transmitting 7-bit data, as each resonator corresponds to one bit. The tag can generate 27=128 binary combination to tag multiple items/objects. The tag structure is designed and analyzed for three different substrates, i.e., Taconic TLX-0, RT/duroid 5880 and Kapton®HN. The low-cost frequency signature based chipless RFID tag can be used in smart tracking applications.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"32 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":"122980688","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.2017.7918925
M. Tariq, S. Tayyaba, H. Rasheed, M. Ashraf
Cloud Computing is one of the most important trend and newest area in the field of information technology in which resources (e.g. CPU and storage) can be leased and released by customers through the Internet in an on-demand basis. The adoption of Cloud Computing in Education and developing countries is real an opportunity. Although Cloud computing has gained popularity in Pakistan especially in education and industry, but its impact in Pakistan is still unexplored especially in Higher Education Department. Already published work investigated in respect of factors influencing on adoption of cloud computing but very few investigated said analysis in developing countries. The Higher Education Institutions (HEIs) of Punjab, Pakistan are still not focused to discover cloud adoption factors. In this study, we prepared cloud adoption model for Higher Education Institutions (HEIs) of Punjab, a survey was carried out from 900 students all over Punjab. The survey was designed based upon literature and after discussion and opinions of academicians. In this paper, 34 hypothesis were developed that affect the cloud computing adoption in HEIs and tested by using powerful statistical analysis tools i.e. SPSS and SmartPLS. Statistical findings shows that 84.44% of students voted in the favor of cloud computing adoption in their colleges, while 99% supported Reduce Cost as most important factor in cloud adoption.
{"title":"Factors influencing the Cloud Computing adoption in Higher Education Institutions of Punjab, Pakistan","authors":"M. Tariq, S. Tayyaba, H. Rasheed, M. Ashraf","doi":"10.1109/C-CODE.2017.7918925","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918925","url":null,"abstract":"Cloud Computing is one of the most important trend and newest area in the field of information technology in which resources (e.g. CPU and storage) can be leased and released by customers through the Internet in an on-demand basis. The adoption of Cloud Computing in Education and developing countries is real an opportunity. Although Cloud computing has gained popularity in Pakistan especially in education and industry, but its impact in Pakistan is still unexplored especially in Higher Education Department. Already published work investigated in respect of factors influencing on adoption of cloud computing but very few investigated said analysis in developing countries. The Higher Education Institutions (HEIs) of Punjab, Pakistan are still not focused to discover cloud adoption factors. In this study, we prepared cloud adoption model for Higher Education Institutions (HEIs) of Punjab, a survey was carried out from 900 students all over Punjab. The survey was designed based upon literature and after discussion and opinions of academicians. In this paper, 34 hypothesis were developed that affect the cloud computing adoption in HEIs and tested by using powerful statistical analysis tools i.e. SPSS and SmartPLS. Statistical findings shows that 84.44% of students voted in the favor of cloud computing adoption in their colleges, while 99% supported Reduce Cost as most important factor in cloud adoption.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"23 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":"125767416","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.2017.7918950
Syed Suleman Abbas Zaidi, Marium Mehboob Ali, Fakhra Aftab, Yusra Shahid, M. Khurram
Speech recognition in a signal with low SNR is a very challenging task. When the distance between the mic and the source is large, the mic records a mixture of Speech and Noise. This paper presents a Speech recognition system which performs Blind Source Separation using Degenerate Unmixing Estimation Technique to separate speech from noise. This system uses a Deep Recurrent Neural Network based method in order to achieve robust speech recognition. An experiment comparing the efficiency of the aforementioned system with an already established Speech Recognition system is presented at the end.
{"title":"Name spotting over low signal-to-noise ratio (SNR) using Blind Source Separation and Connectionist Temporal Classification","authors":"Syed Suleman Abbas Zaidi, Marium Mehboob Ali, Fakhra Aftab, Yusra Shahid, M. Khurram","doi":"10.1109/C-CODE.2017.7918950","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918950","url":null,"abstract":"Speech recognition in a signal with low SNR is a very challenging task. When the distance between the mic and the source is large, the mic records a mixture of Speech and Noise. This paper presents a Speech recognition system which performs Blind Source Separation using Degenerate Unmixing Estimation Technique to separate speech from noise. This system uses a Deep Recurrent Neural Network based method in order to achieve robust speech recognition. An experiment comparing the efficiency of the aforementioned system with an already established Speech Recognition system is presented at the end.","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":"116712917","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.2017.7918921
Muhammad Noman Hayat, Haroon Khan, Z. Iqbal, Zia Ur Rahman, M. Tahir
With the emergence of low-cost hardware is enabling the development of wireless multimedia sensor network. Challenges in WMSN are resource constraint, Application specific QoS requirements and High bandwidth demand. In this paper we have explored the multichannel communication architectures of WMSN to achieve high data rate requirements, to cater interferences, jamming and congestion avoidance for reliable communication, we have listed challenging issues pertaining to multichannel communication. Picture of these MCC protocols is also presented in this paper. Classification of multichannel assignment protocols has been proposed, Identified different channel selection policies, types of channel assignment and methods of channel assignment. We conclude by a table presenting many examples of existing multichannel protocols designed for WMSNs and highlighted promising research directions.
{"title":"Multimedia sensor networks: Recent trends, research challenges and future directions","authors":"Muhammad Noman Hayat, Haroon Khan, Z. Iqbal, Zia Ur Rahman, M. Tahir","doi":"10.1109/C-CODE.2017.7918921","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918921","url":null,"abstract":"With the emergence of low-cost hardware is enabling the development of wireless multimedia sensor network. Challenges in WMSN are resource constraint, Application specific QoS requirements and High bandwidth demand. In this paper we have explored the multichannel communication architectures of WMSN to achieve high data rate requirements, to cater interferences, jamming and congestion avoidance for reliable communication, we have listed challenging issues pertaining to multichannel communication. Picture of these MCC protocols is also presented in this paper. Classification of multichannel assignment protocols has been proposed, Identified different channel selection policies, types of channel assignment and methods of channel assignment. We conclude by a table presenting many examples of existing multichannel protocols designed for WMSNs and highlighted promising research directions.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"9 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":"127807707","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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