Pub Date : 2019-10-01DOI: 10.1109/wincom47513.2019.8942400
Moawiah Alhulayil, M. López-Benítez
In order to cope with the increased demand of wireless services and applications, LTE over unlicensed spectrum has been proposed to extend the operation of LTE to operate also over unlicensed bands. However, this extension faces various challenges regarding the coexistence between LTE-U and different technologies that use these unlicensed spectrum bands such as Wi-Fi technology. The first scenario of LTE allowing LTE to operate over unlicensed bands is LTE-Unlicensed duty cycling (LTE-U). Specifically, LTE-U can coexist with Wi-Fi by allowing LTE-U devices to transmit only in predetermined duty cycles (DCs) or to use adaptive DCs for LTE based on the activity measurements. In this paper, we investigate the downlink performance of LTE-U and Wi-Fi under different traffic loads. The main novelty of this work is to exploit the knowledge of the existing Wi-Fi traffic activity to select a fixed DC for LTE. Moreover, two proposed methods to allocate the blank subframes within LTE frames are provided. Simulation results using NS-3 simulator for LTE-U and Wi-Fi coexistence mechanism under different traffic loads are provided. In particular, the results show that the coexistence mechanism between LTE-U and Wi-Fi in the 5 GHz band achieves better total aggregated throughputs for the coexisting technologies using the proposed approach. Moreover, the location of the blank subframes plays a key role in this coexistence in terms of the total aggreaated throughputs.
{"title":"Methods for the Allocation of Almost Blank Subframes with Fixed Duty Cycle for Improved LTE-U/Wi-Fi Coexistence","authors":"Moawiah Alhulayil, M. López-Benítez","doi":"10.1109/wincom47513.2019.8942400","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942400","url":null,"abstract":"In order to cope with the increased demand of wireless services and applications, LTE over unlicensed spectrum has been proposed to extend the operation of LTE to operate also over unlicensed bands. However, this extension faces various challenges regarding the coexistence between LTE-U and different technologies that use these unlicensed spectrum bands such as Wi-Fi technology. The first scenario of LTE allowing LTE to operate over unlicensed bands is LTE-Unlicensed duty cycling (LTE-U). Specifically, LTE-U can coexist with Wi-Fi by allowing LTE-U devices to transmit only in predetermined duty cycles (DCs) or to use adaptive DCs for LTE based on the activity measurements. In this paper, we investigate the downlink performance of LTE-U and Wi-Fi under different traffic loads. The main novelty of this work is to exploit the knowledge of the existing Wi-Fi traffic activity to select a fixed DC for LTE. Moreover, two proposed methods to allocate the blank subframes within LTE frames are provided. Simulation results using NS-3 simulator for LTE-U and Wi-Fi coexistence mechanism under different traffic loads are provided. In particular, the results show that the coexistence mechanism between LTE-U and Wi-Fi in the 5 GHz band achieves better total aggregated throughputs for the coexisting technologies using the proposed approach. Moreover, the location of the blank subframes plays a key role in this coexistence in terms of the total aggreaated throughputs.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"277 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129953981","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 : 2019-10-01DOI: 10.1109/wincom47513.2019.8942587
Khalil Ibrahimi, Ouafa Ould Cherif, M. Elkoutbi, Imane Rouam
In the new cellular systems (5G), the approach of caching content in the small Base Stations (sBS) is considered to be a suitable approach to improve the efficiency and to reduce the user perceived latency content delivery. Proactively serving estimated users demands, via caching at sBS is crucial due to storage limitations. But, it requires knowledge about the content popularity distribution, which is often not available in advance. Moreover, human behavior is predictable, and contents popularity are subject to fluctuations since mobile users with different interests connect to the caching entity over time and in different places. In this paper, we focus on the prediction of popularity evolution of video contents/files, based on the observation of past solicitations. We propose the FORECASTING schemes to manage this problem based on the time series model Seasonal AutoRegressive Integrated Moving Average (SARIMA) to interpret the temporal influence. The scheme is based on two algorithms in static and dynamic cases to manage future cache decisions. Several numerical results are given with comments that confirm the proposed idea.
{"title":"Model to Improve the Forecast of the Content Caching based Time-Series Analysis at the Small Base Station","authors":"Khalil Ibrahimi, Ouafa Ould Cherif, M. Elkoutbi, Imane Rouam","doi":"10.1109/wincom47513.2019.8942587","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942587","url":null,"abstract":"In the new cellular systems (5G), the approach of caching content in the small Base Stations (sBS) is considered to be a suitable approach to improve the efficiency and to reduce the user perceived latency content delivery. Proactively serving estimated users demands, via caching at sBS is crucial due to storage limitations. But, it requires knowledge about the content popularity distribution, which is often not available in advance. Moreover, human behavior is predictable, and contents popularity are subject to fluctuations since mobile users with different interests connect to the caching entity over time and in different places. In this paper, we focus on the prediction of popularity evolution of video contents/files, based on the observation of past solicitations. We propose the FORECASTING schemes to manage this problem based on the time series model Seasonal AutoRegressive Integrated Moving Average (SARIMA) to interpret the temporal influence. The scheme is based on two algorithms in static and dynamic cases to manage future cache decisions. Several numerical results are given with comments that confirm the proposed idea.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125516396","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 : 2019-10-01DOI: 10.1109/wincom47513.2019.8942576
Mariem Jarjar, Nabih Pr. el Ouazzani
In this paper, a three branch channelized active bandpass filter with an elliptical response is presented. All branches are connected through power dividers/combiners allowing signal distribution and combination. The filter consists of a main branch and two auxiliary branches, each of them has a third order Chebyshev filter made out of active inductances based on CMOS operational transconductance amplifiers according to the 0.18μm TSMC technology. The auxiliary branches have each a delay element that creates a 180° phase shift between the responses of the branches leading to transmission zeros in the bandwidth. The simulation results, obtained by means of CADENCE 16.6 Pspice software, show that the filter produces an elliptic narrow band response, centered at 1,13GHz with good frequency performances in terms of scattering parameters and the noise figure.
{"title":"Three branch microwave channelized active bandpass filter","authors":"Mariem Jarjar, Nabih Pr. el Ouazzani","doi":"10.1109/wincom47513.2019.8942576","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942576","url":null,"abstract":"In this paper, a three branch channelized active bandpass filter with an elliptical response is presented. All branches are connected through power dividers/combiners allowing signal distribution and combination. The filter consists of a main branch and two auxiliary branches, each of them has a third order Chebyshev filter made out of active inductances based on CMOS operational transconductance amplifiers according to the 0.18μm TSMC technology. The auxiliary branches have each a delay element that creates a 180° phase shift between the responses of the branches leading to transmission zeros in the bandwidth. The simulation results, obtained by means of CADENCE 16.6 Pspice software, show that the filter produces an elliptic narrow band response, centered at 1,13GHz with good frequency performances in terms of scattering parameters and the noise figure.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128956191","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 : 2019-10-01DOI: 10.1109/wincom47513.2019.8942521
Filip Šture, T. Morong, P. Kovář, P. Puričer
This paper presents a basic description of a monitoring system which is designed for the GNSS jamming detection and localization as well as giving the theoretical issue together with specific consequences. The usage of that system is targeted to an aviation safety and space together with general transportation. The system is an extensive project, and this document is mainly about measuring station as an essential part of it. The paper presents specific localization techniques which will be used in digital signal processing. Several tests of the functionality of the measuring station have been made and presented in this paper. The result of the paper comes from the basic test of the measuring station. In that test, functionality - clock synchronization, mutual phase of an antenna array, software-defined radio was proved. The monitoring system is still developing and other important results will be described in the future.
{"title":"High Performance SDR for Monitoring System for GNSS Jamming Localization","authors":"Filip Šture, T. Morong, P. Kovář, P. Puričer","doi":"10.1109/wincom47513.2019.8942521","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942521","url":null,"abstract":"This paper presents a basic description of a monitoring system which is designed for the GNSS jamming detection and localization as well as giving the theoretical issue together with specific consequences. The usage of that system is targeted to an aviation safety and space together with general transportation. The system is an extensive project, and this document is mainly about measuring station as an essential part of it. The paper presents specific localization techniques which will be used in digital signal processing. Several tests of the functionality of the measuring station have been made and presented in this paper. The result of the paper comes from the basic test of the measuring station. In that test, functionality - clock synchronization, mutual phase of an antenna array, software-defined radio was proved. The monitoring system is still developing and other important results will be described in the future.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126531558","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 : 2019-10-01DOI: 10.1109/wincom47513.2019.8942417
Nissrine Drioui, E. E. Mazoudi, J. Alami
Activated sludge wastewater treatment processes are difficult to be controlled because of their complex and nonlinear behavior, however, The removal of nutrients and pollutants is carried out by microorganisms, these require oxygen to break down the waste in the water; oxygen has been delivered by pumping air through diffusers to create bubbles it's a very energy intensive process this can be used to increase biological capacity and creates an ideal environment to support the substrate which absorbs and consumes the polluants and incrased consumption of the polluants found in the wastewater. For this reason, a new approach is explored in this paper using an adaptive control algorithm based on neural networks Cerebellar Model Arithmetic Computer (CMAC) compared with PI control at the desired reference for dissolved oxygen control to maintain a destination point in aerated bioreactors. The controller is tested on a simplified version of the simulation reference model number 1, and provides a high performance and efficiency to disturbances.
{"title":"Neural Network Adaptive Control of Dissolved Oxygen for an Activated Sludge process","authors":"Nissrine Drioui, E. E. Mazoudi, J. Alami","doi":"10.1109/wincom47513.2019.8942417","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942417","url":null,"abstract":"Activated sludge wastewater treatment processes are difficult to be controlled because of their complex and nonlinear behavior, however, The removal of nutrients and pollutants is carried out by microorganisms, these require oxygen to break down the waste in the water; oxygen has been delivered by pumping air through diffusers to create bubbles it's a very energy intensive process this can be used to increase biological capacity and creates an ideal environment to support the substrate which absorbs and consumes the polluants and incrased consumption of the polluants found in the wastewater. For this reason, a new approach is explored in this paper using an adaptive control algorithm based on neural networks Cerebellar Model Arithmetic Computer (CMAC) compared with PI control at the desired reference for dissolved oxygen control to maintain a destination point in aerated bioreactors. The controller is tested on a simplified version of the simulation reference model number 1, and provides a high performance and efficiency to disturbances.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125230000","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 : 2019-10-01DOI: 10.1109/wincom47513.2019.8942575
Sara Laghmati, A. Tmiri, B. Cherradi
Breast cancer is one of the most common diseases and the leading cause of death to mostly females all over the world. Early detection can provide higher treatment efficiency and better healing chances. Even though mammography screening is handy in diagnosing breast cancer at an early stage, Computer-Aided Diagnosis (CAD) systems can help to reduce the cancer death-rate. Radiologists, physicians, and doctors, in general, make use of these CAD systems to diagnose, detect, analyze and make decisions whether the patient is benign or malignant. The present paper presents some data mining techniques used in the diagnosis of cancer such as Artificial Neuron Network (ANN), K-Nearest Neighbors (KNN), Binary Support Vector Machine (Binary SVM), and Decision Tree (DT). Within this framework, the database utilized is the Mammographic Mass dataset. This database contains data of probabilistic breast cancer patients and the advanced results by experts in the field. The paper adopts a confusion matrix for binary prediction as a method of data analysis. The present paper provides a comparison between the different Computer-Aided diagnosis systems techniques regarding accuracy, specificity, and sensitivity amidst many other criteria to find the most accurate alternative among ANN, KNN, Binary SVM, and DT.
乳腺癌是世界上最常见的疾病之一，也是大多数女性死亡的主要原因。早期发现可以提高治疗效率和更好的愈合机会。尽管乳房x光检查在早期诊断乳腺癌很方便，但计算机辅助诊断(CAD)系统可以帮助降低癌症死亡率。一般来说，放射科医生、内科医生和医生利用这些CAD系统来诊断、检测、分析并决定病人是良性还是恶性。本文介绍了一些用于癌症诊断的数据挖掘技术，如人工神经元网络(ANN)、k近邻(KNN)、二值支持向量机(Binary Support Vector Machine)和决策树(DT)。在这个框架内，使用的数据库是乳房x线摄影质量数据集。该数据库包含概率性乳腺癌患者的数据和该领域专家的先进结果。本文采用混淆矩阵进行二值预测作为数据分析的方法。本文提供了不同的计算机辅助诊断系统技术之间关于准确性，特异性和敏感性的比较，以及许多其他标准，以在ANN, KNN，二进制支持向量机和DT中找到最准确的替代方案。
{"title":"Machine Learning based System for Prediction of Breast Cancer Severity","authors":"Sara Laghmati, A. Tmiri, B. Cherradi","doi":"10.1109/wincom47513.2019.8942575","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942575","url":null,"abstract":"Breast cancer is one of the most common diseases and the leading cause of death to mostly females all over the world. Early detection can provide higher treatment efficiency and better healing chances. Even though mammography screening is handy in diagnosing breast cancer at an early stage, Computer-Aided Diagnosis (CAD) systems can help to reduce the cancer death-rate. Radiologists, physicians, and doctors, in general, make use of these CAD systems to diagnose, detect, analyze and make decisions whether the patient is benign or malignant. The present paper presents some data mining techniques used in the diagnosis of cancer such as Artificial Neuron Network (ANN), K-Nearest Neighbors (KNN), Binary Support Vector Machine (Binary SVM), and Decision Tree (DT). Within this framework, the database utilized is the Mammographic Mass dataset. This database contains data of probabilistic breast cancer patients and the advanced results by experts in the field. The paper adopts a confusion matrix for binary prediction as a method of data analysis. The present paper provides a comparison between the different Computer-Aided diagnosis systems techniques regarding accuracy, specificity, and sensitivity amidst many other criteria to find the most accurate alternative among ANN, KNN, Binary SVM, and DT.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124806317","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 : 2019-10-01DOI: 10.1109/wincom47513.2019.8942475
W. Abbass, Amine Baïna, M. Bellafkih
The Cloud Computing and the Internet of Things (IoT) combination “Cloud of Things” renders the devices' generated data more efficient for the development of intelligent ap- plications. However, due to the data outsourcing, it is confronted to a constant risk. The paper introduces an ArchiMate based Security Risk Assessment as a service model (ASRAaaS) in order to strengths the Cloud of Things' security. This service model integrates two frameworks: preventive and reactive risk analysis. Indeed, the combination of preventive and responsive approaches delivered valuable results. In fact, the Responsive Risk Analysis investigates all the relevant risks earlier, so accordingly before their potential occurrence. This investigation is then tailored as a Model-base, which a mobile agent is responsible for its management. Mobile Agents technology is the key combining the preventive and responsive approaches, shifting thus risk countermeasures decisions from the preventive approach to the responsive one. Our contribution grants security for Cloud of things without influencing its performance.
{"title":"ArchiMate based Security Risk Assessment as a service: preventing and responding to the cloud of things' risks","authors":"W. Abbass, Amine Baïna, M. Bellafkih","doi":"10.1109/wincom47513.2019.8942475","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942475","url":null,"abstract":"The Cloud Computing and the Internet of Things (IoT) combination “Cloud of Things” renders the devices' generated data more efficient for the development of intelligent ap- plications. However, due to the data outsourcing, it is confronted to a constant risk. The paper introduces an ArchiMate based Security Risk Assessment as a service model (ASRAaaS) in order to strengths the Cloud of Things' security. This service model integrates two frameworks: preventive and reactive risk analysis. Indeed, the combination of preventive and responsive approaches delivered valuable results. In fact, the Responsive Risk Analysis investigates all the relevant risks earlier, so accordingly before their potential occurrence. This investigation is then tailored as a Model-base, which a mobile agent is responsible for its management. Mobile Agents technology is the key combining the preventive and responsive approaches, shifting thus risk countermeasures decisions from the preventive approach to the responsive one. Our contribution grants security for Cloud of things without influencing its performance.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122072330","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 : 2019-10-01DOI: 10.1109/wincom47513.2019.8942455
F. Bahi, H. Ghennioui, M. Zouak
Cognitive Radio (CR) is becoming a necessity for improving the spectrum use in the future, as it provides efficient utilization of the available frequency bands by allowing unlicensed users to operate in the temporarily unoccupied bands by the licensed users. To fit the requirements of an effective dynamic spectrum access, the forthcoming strategies must take into account the spectrum usage of the geographical area. Thus, several Spectrum Occupancy (SO) measurements have been performed around the world. In Morocco, no indoor spectrum usage have been studied yet. In this paper, we present the first indoor SO measurements conducted in Morocco using a powerful measurement setup. The scanned bands were intensively analyzed in terms of different parameters such as power spectrum and duty cycle per channel and band. The obtained results show that in every licensed band a significant part is unused. Furthermore, we were able to find out bands that may be suitable for future cognitive radio applications.
{"title":"Indoor Spectrum Occupancy in Morocco for Cognitive Radio applications: Measurements and Analysis","authors":"F. Bahi, H. Ghennioui, M. Zouak","doi":"10.1109/wincom47513.2019.8942455","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942455","url":null,"abstract":"Cognitive Radio (CR) is becoming a necessity for improving the spectrum use in the future, as it provides efficient utilization of the available frequency bands by allowing unlicensed users to operate in the temporarily unoccupied bands by the licensed users. To fit the requirements of an effective dynamic spectrum access, the forthcoming strategies must take into account the spectrum usage of the geographical area. Thus, several Spectrum Occupancy (SO) measurements have been performed around the world. In Morocco, no indoor spectrum usage have been studied yet. In this paper, we present the first indoor SO measurements conducted in Morocco using a powerful measurement setup. The scanned bands were intensively analyzed in terms of different parameters such as power spectrum and duty cycle per channel and band. The obtained results show that in every licensed band a significant part is unused. Furthermore, we were able to find out bands that may be suitable for future cognitive radio applications.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"7 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120920667","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 : 2019-10-01DOI: 10.1109/wincom47513.2019.8942532
I. E. Agbehadji, R. Millham, S. Fong, Jason J. Jung, Khac-Hoai Nam Bui, A. Abayomi, Samuel Ofori Frimpong
In this paper, we proposed an approach to clustering based on bio-inspired behaviour and distributed energy efficient model. The motivation to propose this clustering approach is due to the challenge of performance in terms of finding an efficient way to send data packets to base stations and to maintain the lifetime performance of wireless sensor networks. The bioinspired approach adopted the behaviour of a bird called Kestrel. This behaviour is expressed using mathematical formulation and then translated into an algorithm. The bio-inspired algorithm is combined with the distributed energy efficient model for clustering to ensure efficient energy optimization. The proposed clustering approach, referred to as DEEC-KSA, is evaluated through simulation and compared with benchmarked clustering algorithms. The result of simulation showed that the performance of DEEC-KSA is efficient among the comparative clustering algorithms for energy optimization in terms of stability period, network lifetime and network throughput. Additionally, the proposed DEEC-KSA has the optimal time (in seconds) to send packets to base station successfully.
{"title":"Bio-inspired energy efficient clustering approach for wireless sensor networks","authors":"I. E. Agbehadji, R. Millham, S. Fong, Jason J. Jung, Khac-Hoai Nam Bui, A. Abayomi, Samuel Ofori Frimpong","doi":"10.1109/wincom47513.2019.8942532","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942532","url":null,"abstract":"In this paper, we proposed an approach to clustering based on bio-inspired behaviour and distributed energy efficient model. The motivation to propose this clustering approach is due to the challenge of performance in terms of finding an efficient way to send data packets to base stations and to maintain the lifetime performance of wireless sensor networks. The bioinspired approach adopted the behaviour of a bird called Kestrel. This behaviour is expressed using mathematical formulation and then translated into an algorithm. The bio-inspired algorithm is combined with the distributed energy efficient model for clustering to ensure efficient energy optimization. The proposed clustering approach, referred to as DEEC-KSA, is evaluated through simulation and compared with benchmarked clustering algorithms. The result of simulation showed that the performance of DEEC-KSA is efficient among the comparative clustering algorithms for energy optimization in terms of stability period, network lifetime and network throughput. Additionally, the proposed DEEC-KSA has the optimal time (in seconds) to send packets to base station successfully.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134479782","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 : 2019-10-01DOI: 10.1109/wincom47513.2019.8942492
B. Abidine, B. Fergani, Ihssene Menhour
Physical activity recognition using embedded sensors has enabled many context-aware applications in different areas, such as healthcare. A various real-life ubiquitous computing applications use smart sensors embedded in smart phones to infer user's human activities. In this work, we proposed a new hybrid classification model to perform recognition of activities using Smartphone data. The proposed method combines SVM learning algorithm with HMM, to classify and identify activity. Principal Component Analysis (PCA) is used to reduce the features set in the dataset. Experiments performed in the real datasets show comparative results between this SVM-HMM, SVM, HMM and the baseline methods in terms of recognition performance, highlighting the advantages of the proposed method.
{"title":"Activity Recognition from Smartphones Using Hybrid Classifier PCA-SVM-HMM","authors":"B. Abidine, B. Fergani, Ihssene Menhour","doi":"10.1109/wincom47513.2019.8942492","DOIUrl":"https://doi.org/10.1109/wincom47513.2019.8942492","url":null,"abstract":"Physical activity recognition using embedded sensors has enabled many context-aware applications in different areas, such as healthcare. A various real-life ubiquitous computing applications use smart sensors embedded in smart phones to infer user's human activities. In this work, we proposed a new hybrid classification model to perform recognition of activities using Smartphone data. The proposed method combines SVM learning algorithm with HMM, to classify and identify activity. Principal Component Analysis (PCA) is used to reduce the features set in the dataset. Experiments performed in the real datasets show comparative results between this SVM-HMM, SVM, HMM and the baseline methods in terms of recognition performance, highlighting the advantages of the proposed method.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129703025","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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