Pub Date : 2020-08-01DOI: 10.1109/UCET51115.2020.9205460
A. Ghaffar, Xue Jun Li, W. A. Awan, Niamat Hussain
This work presents a multi-band multi-mode frequency reconfigurable antenna. The antenna comprises of a simple geometrical structure along with compact overall size of $0.22lambda_{mathrm{O}} times 0.11lambda_{mathrm{O}} times 0.012lambda_{mathrm{O}}$, where $lambda_{mathrm{O}}$ is the free space wavelength at lower resonance. A triangular-shaped wideband monopole antenna was converted into a multiband antenna by utilizing three stubs. Afterwards, three diodes were inserted between the stubs and triangular radiator to achieve multi-mode behaviour. A sample prototype was fabricated and tested while measured results are compared with simulated to validate the finding. The proposed compact size antenna could be a potential candidate for portable devices operating inside Wi-Max, WLAN, 5G-sub-6GHz, S-band, and X-band.
{"title":"A Compact Multiband Multi-Mode Frequency Reconfigurable Antenna for Portable devices","authors":"A. Ghaffar, Xue Jun Li, W. A. Awan, Niamat Hussain","doi":"10.1109/UCET51115.2020.9205460","DOIUrl":"https://doi.org/10.1109/UCET51115.2020.9205460","url":null,"abstract":"This work presents a multi-band multi-mode frequency reconfigurable antenna. The antenna comprises of a simple geometrical structure along with compact overall size of $0.22lambda_{mathrm{O}} times 0.11lambda_{mathrm{O}} times 0.012lambda_{mathrm{O}}$, where $lambda_{mathrm{O}}$ is the free space wavelength at lower resonance. A triangular-shaped wideband monopole antenna was converted into a multiband antenna by utilizing three stubs. Afterwards, three diodes were inserted between the stubs and triangular radiator to achieve multi-mode behaviour. A sample prototype was fabricated and tested while measured results are compared with simulated to validate the finding. The proposed compact size antenna could be a potential candidate for portable devices operating inside Wi-Max, WLAN, 5G-sub-6GHz, S-band, and X-band.","PeriodicalId":163493,"journal":{"name":"2020 International Conference on UK-China Emerging Technologies (UCET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130860288","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 : 2020-08-01DOI: 10.1109/UCET51115.2020.9205457
I. S. Bayram
Recent advances in communication systems and the proliferation of plug-in electric vehicles (PEVs) hold a promise to support power systems operations with vehicle-togrid (V2G) applications. However, such ancillary services have tight communication requirements (low-latency, high reliability) as the aggregated PEVs need to respond to market signals within seconds and bad communication system performance lead to financial losses. In this paper, we consider a frequency regulation application in which PEVs are charged and discharged according to actual market signals. We assume that a market operator sends signals through 4G/LTE network to an aggregator located at a parking lot, who, as a next step, delivers data packets to electric vehicle supply equipments (EVSEs) via a local Wi-Fi network. In the final phase, each EVSE communicates with PEV battery management unit via power line communications. By adopting communication delay and packet loss profiles from measurement and simulation studies, we examine the impacts of communication system performance on V2G performance. The results show that packet losses significantly lowers precision score, while there is a need for faster networks if multiple aggregators participate at the same time.
{"title":"Quantifying the Effects of Communication Network Performance in Vehicle-to-Grid Frequency Regulation Services","authors":"I. S. Bayram","doi":"10.1109/UCET51115.2020.9205457","DOIUrl":"https://doi.org/10.1109/UCET51115.2020.9205457","url":null,"abstract":"Recent advances in communication systems and the proliferation of plug-in electric vehicles (PEVs) hold a promise to support power systems operations with vehicle-togrid (V2G) applications. However, such ancillary services have tight communication requirements (low-latency, high reliability) as the aggregated PEVs need to respond to market signals within seconds and bad communication system performance lead to financial losses. In this paper, we consider a frequency regulation application in which PEVs are charged and discharged according to actual market signals. We assume that a market operator sends signals through 4G/LTE network to an aggregator located at a parking lot, who, as a next step, delivers data packets to electric vehicle supply equipments (EVSEs) via a local Wi-Fi network. In the final phase, each EVSE communicates with PEV battery management unit via power line communications. By adopting communication delay and packet loss profiles from measurement and simulation studies, we examine the impacts of communication system performance on V2G performance. The results show that packet losses significantly lowers precision score, while there is a need for faster networks if multiple aggregators participate at the same time.","PeriodicalId":163493,"journal":{"name":"2020 International Conference on UK-China Emerging Technologies (UCET)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133764732","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 : 2020-08-01DOI: 10.1109/UCET51115.2020.9205373
Lanxin Miao, Xuezhou Guo, H. Abbas, K. Qaraqe, Q. Abbasi
The objective of this research is to develop a longterm risk model for the development of cardiovascular disease (CVD) because of type-2 diabetes (T2D). We use the support vector machine (SVM) and the K-nearest neighbours algorithms on the dataset collected from a longitudinal study called Framingham Heart Study, to develop the prediction models. The dataset was first balanced by the Synthetic Minority Oversampling Technique algorithm. The SVM algorithm was then used to train the model, and after tuning the parameters and training for 1000 times, the average accuracy to correctly predict the prevalence of CVD due to T2D came out as 96.5% and the average recall rate was 89.8%. Similarly, we also applied the KNN algorithm to train the dataset, and the recall rate even reaches 92.9%. The advantages of our model are: 1) it can predict with high accuracy both the risk of development of T2D and CVD simultaneously; 2) it can be used without the expensive and tedious oral glucose tolerance test. The model yielded high-performance results after training on the Framingham Heart Study dataset.
{"title":"Using Machine Learning to Predict the Future Development of Disease","authors":"Lanxin Miao, Xuezhou Guo, H. Abbas, K. Qaraqe, Q. Abbasi","doi":"10.1109/UCET51115.2020.9205373","DOIUrl":"https://doi.org/10.1109/UCET51115.2020.9205373","url":null,"abstract":"The objective of this research is to develop a longterm risk model for the development of cardiovascular disease (CVD) because of type-2 diabetes (T2D). We use the support vector machine (SVM) and the K-nearest neighbours algorithms on the dataset collected from a longitudinal study called Framingham Heart Study, to develop the prediction models. The dataset was first balanced by the Synthetic Minority Oversampling Technique algorithm. The SVM algorithm was then used to train the model, and after tuning the parameters and training for 1000 times, the average accuracy to correctly predict the prevalence of CVD due to T2D came out as 96.5% and the average recall rate was 89.8%. Similarly, we also applied the KNN algorithm to train the dataset, and the recall rate even reaches 92.9%. The advantages of our model are: 1) it can predict with high accuracy both the risk of development of T2D and CVD simultaneously; 2) it can be used without the expensive and tedious oral glucose tolerance test. The model yielded high-performance results after training on the Framingham Heart Study dataset.","PeriodicalId":163493,"journal":{"name":"2020 International Conference on UK-China Emerging Technologies (UCET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133765050","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 : 2020-08-01DOI: 10.1109/UCET51115.2020.9205468
Haolin Fei, M. Rehman
Wearable health monitoring system gain a lot of attraction from the wearable health technology community. Among wearable health devices, smart wrist band is one of the branches that the market invested most of money and there exist varies products aiming at different custom target group such as users who have cardiovascular diseases. However, there has few products that can monitoring heart rate continuously with low power consumption and able to detect the abnormal movement of body which may lead to the diagnosis of early Parkinson’s diseases(PD).This project propose a low-power consumption, customized wrist band with small size and pattern matching ability which help to analysis the abnormal behaviour that many early PD patients have, together with a user end program for data transferring, demonstration and further analysis. Results of the wrist band and user end program are tested, verified and compared, which shows that the wrist band is able to detect heart rate, counting steps and detecting abnormal hand movement, and user end program can properly receive the information from the wrist band and present to the $user$.
{"title":"A Wearable Health Monitoring System","authors":"Haolin Fei, M. Rehman","doi":"10.1109/UCET51115.2020.9205468","DOIUrl":"https://doi.org/10.1109/UCET51115.2020.9205468","url":null,"abstract":"Wearable health monitoring system gain a lot of attraction from the wearable health technology community. Among wearable health devices, smart wrist band is one of the branches that the market invested most of money and there exist varies products aiming at different custom target group such as users who have cardiovascular diseases. However, there has few products that can monitoring heart rate continuously with low power consumption and able to detect the abnormal movement of body which may lead to the diagnosis of early Parkinson’s diseases(PD).This project propose a low-power consumption, customized wrist band with small size and pattern matching ability which help to analysis the abnormal behaviour that many early PD patients have, together with a user end program for data transferring, demonstration and further analysis. Results of the wrist band and user end program are tested, verified and compared, which shows that the wrist band is able to detect heart rate, counting steps and detecting abnormal hand movement, and user end program can properly receive the information from the wrist band and present to the $user$.","PeriodicalId":163493,"journal":{"name":"2020 International Conference on UK-China Emerging Technologies (UCET)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114750872","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 : 2020-08-01DOI: 10.1109/UCET51115.2020.9205416
Jiayu Cao, S. Leng, Ke Zhang
Autonomous vehicles play an important role in intelligent transportation systems. In these vehicles, driving control decision is obtained based on the collection of massive traffic states and intensive information processing. However, the spatial-temporal characteristics of the traffic states and the constrained environmental perception range of an individual vehicle seriously undermine the effectiveness of the state collection. Multi-agent empowered collaborative decision provides a potential approach to address the problem. This paper proposes a multi-dimensional information fusion mechanism, which improves the utilities of vehicular information processing and autonomous driving. Moreover, we design an intelligent distributed decision algorithm for autonomous driving applications, which optimizes road traffic flow under vehicular resource constraints. Numerical results demonstrated that our proposed scheme significantly increases the system revenue.
{"title":"Multi-Agent Learning Empowered Collaborative Decision for Autonomous Driving Vehicles","authors":"Jiayu Cao, S. Leng, Ke Zhang","doi":"10.1109/UCET51115.2020.9205416","DOIUrl":"https://doi.org/10.1109/UCET51115.2020.9205416","url":null,"abstract":"Autonomous vehicles play an important role in intelligent transportation systems. In these vehicles, driving control decision is obtained based on the collection of massive traffic states and intensive information processing. However, the spatial-temporal characteristics of the traffic states and the constrained environmental perception range of an individual vehicle seriously undermine the effectiveness of the state collection. Multi-agent empowered collaborative decision provides a potential approach to address the problem. This paper proposes a multi-dimensional information fusion mechanism, which improves the utilities of vehicular information processing and autonomous driving. Moreover, we design an intelligent distributed decision algorithm for autonomous driving applications, which optimizes road traffic flow under vehicular resource constraints. Numerical results demonstrated that our proposed scheme significantly increases the system revenue.","PeriodicalId":163493,"journal":{"name":"2020 International Conference on UK-China Emerging Technologies (UCET)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124875881","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 : 2020-08-01DOI: 10.1109/UCET51115.2020.9205375
Zeng Li, Weiheng Sun, Shuhua Xiong, Pradeep Karn, Xiaohai He
Nowadays, the mainstream video coding standard H.265/HEVC has achieved excellent compression performance, but it still can not match the increase of huge amount of data. In order to further optimize intra prediction of HEVC, we proposed an iterative filtering algorithm which combines the characteristics of HEVC intra prediction modes. Proposed algorithm classifies PU into different types by analyzing the characteristics of different intra prediction modes. Through discrete training methods, the coefficients of each type of filters can be obtained. And multiple iterative filtering can make the prediction more accuracy. We further optimize the complexity of the algorithm to make a balance between performance and complexity. Experimental results show that proposed algorithm can achieve better coding performance compared with HEVC baseline algorithm and some latest algorithm.
{"title":"An Iterative Filtering Algorithm for HEVC Intra Prediction Combined with Prediction Mode Characteristics","authors":"Zeng Li, Weiheng Sun, Shuhua Xiong, Pradeep Karn, Xiaohai He","doi":"10.1109/UCET51115.2020.9205375","DOIUrl":"https://doi.org/10.1109/UCET51115.2020.9205375","url":null,"abstract":"Nowadays, the mainstream video coding standard H.265/HEVC has achieved excellent compression performance, but it still can not match the increase of huge amount of data. In order to further optimize intra prediction of HEVC, we proposed an iterative filtering algorithm which combines the characteristics of HEVC intra prediction modes. Proposed algorithm classifies PU into different types by analyzing the characteristics of different intra prediction modes. Through discrete training methods, the coefficients of each type of filters can be obtained. And multiple iterative filtering can make the prediction more accuracy. We further optimize the complexity of the algorithm to make a balance between performance and complexity. Experimental results show that proposed algorithm can achieve better coding performance compared with HEVC baseline algorithm and some latest algorithm.","PeriodicalId":163493,"journal":{"name":"2020 International Conference on UK-China Emerging Technologies (UCET)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125090688","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 : 2020-08-01DOI: 10.1109/UCET51115.2020.9205488
Nahi Shouk, Ruqayyah Shouk, Sheila Bonnough, R. Klemm
The transverse magnetic wave functions generated from the intrinsic Josephson junctions in the high-temperature superconductor Bi2212 are found for annular and singly slitted microstrip antennas. From the wave functions, the Love equivalence principles are used to generate the emission from the uniform and cavity modes (wave functions). For most of the annular wave functions, the infinite degeneracy of the modes with line nodes through the geometric center most likely will result in no cavity mode enhancement of the output power. Forming the slit breaks that infinite degeneracy into a double degeneracy of modes that are odd or even about the slit. Pictures of the wave functions and the uniform and cavity mode contributions to the output power distribution will be shown. The consequences for forming arrays of such devices will be discussed.
{"title":"Terahertz emission from thin annular and slitted annular Bi2212 microstrip antennas","authors":"Nahi Shouk, Ruqayyah Shouk, Sheila Bonnough, R. Klemm","doi":"10.1109/UCET51115.2020.9205488","DOIUrl":"https://doi.org/10.1109/UCET51115.2020.9205488","url":null,"abstract":"The transverse magnetic wave functions generated from the intrinsic Josephson junctions in the high-temperature superconductor Bi2212 are found for annular and singly slitted microstrip antennas. From the wave functions, the Love equivalence principles are used to generate the emission from the uniform and cavity modes (wave functions). For most of the annular wave functions, the infinite degeneracy of the modes with line nodes through the geometric center most likely will result in no cavity mode enhancement of the output power. Forming the slit breaks that infinite degeneracy into a double degeneracy of modes that are odd or even about the slit. Pictures of the wave functions and the uniform and cavity mode contributions to the output power distribution will be shown. The consequences for forming arrays of such devices will be discussed.","PeriodicalId":163493,"journal":{"name":"2020 International Conference on UK-China Emerging Technologies (UCET)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130533719","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 : 2020-08-01DOI: 10.1109/UCET51115.2020.9205424
Sagar Suresh Kumar
The spread of COVID-19, which has infected over 10 million people worldwide, entails the need for fast and aggressive testing never like before. As countries look to expanding testing, such test solutions must not only be technically sound, but should also be feasible and convenient for the user. The aim of this paper is to review the emerging tests and technology which can be potentially used to detect and assess the condition of those infected with the Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and the challenges in their development and use. The paper deals with 1) In vitro diagnostic tests(IVDs),i.e tests that use biological samples like blood and consist of 2 types: nucleic acid tests, which detect the RNA of the virus, and antibody tests which antibodies created by the body in response to the virus. 2) Chest X-Ray and CT scan devices, associated Deep Learning based detection methods and portable devices. 3) Wearable sensors, IoT and telemedicine for remote monitoring of COVID-19 patients to assess their condition, and also of Non-COVID-19 ones to reduce risks of cross-infection.
{"title":"Emerging Technologies and Sensors That Can Be Used During the COVID-19 Pandemic","authors":"Sagar Suresh Kumar","doi":"10.1109/UCET51115.2020.9205424","DOIUrl":"https://doi.org/10.1109/UCET51115.2020.9205424","url":null,"abstract":"The spread of COVID-19, which has infected over 10 million people worldwide, entails the need for fast and aggressive testing never like before. As countries look to expanding testing, such test solutions must not only be technically sound, but should also be feasible and convenient for the user. The aim of this paper is to review the emerging tests and technology which can be potentially used to detect and assess the condition of those infected with the Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and the challenges in their development and use. The paper deals with 1) In vitro diagnostic tests(IVDs),i.e tests that use biological samples like blood and consist of 2 types: nucleic acid tests, which detect the RNA of the virus, and antibody tests which antibodies created by the body in response to the virus. 2) Chest X-Ray and CT scan devices, associated Deep Learning based detection methods and portable devices. 3) Wearable sensors, IoT and telemedicine for remote monitoring of COVID-19 patients to assess their condition, and also of Non-COVID-19 ones to reduce risks of cross-infection.","PeriodicalId":163493,"journal":{"name":"2020 International Conference on UK-China Emerging Technologies (UCET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123045758","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 : 2020-08-01DOI: 10.1109/UCET51115.2020.9205473
Y. Shukrinov, I. Rahmonov, A. E. Botha, A. Plecenik, Dragos Angel
We investigate the $varphi$0 Josephson junction, which demonstrates a rich variety of dynamical states determined by the parameters of the Josephson junction and intermediate ferromagnetic layer, as well as by the value of the dc-bias current. Results of magnetization dynamics simulation at fixed value of bias current and results of FFT analysis are presented. We discuss how the superconducting current interacts with the different magnetization components.
{"title":"Magnetization Dynamics Features in the SFS φ0 Josephson Junction","authors":"Y. Shukrinov, I. Rahmonov, A. E. Botha, A. Plecenik, Dragos Angel","doi":"10.1109/UCET51115.2020.9205473","DOIUrl":"https://doi.org/10.1109/UCET51115.2020.9205473","url":null,"abstract":"We investigate the $varphi$0 Josephson junction, which demonstrates a rich variety of dynamical states determined by the parameters of the Josephson junction and intermediate ferromagnetic layer, as well as by the value of the dc-bias current. Results of magnetization dynamics simulation at fixed value of bias current and results of FFT analysis are presented. We discuss how the superconducting current interacts with the different magnetization components.","PeriodicalId":163493,"journal":{"name":"2020 International Conference on UK-China Emerging Technologies (UCET)","volume":"419 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128914861","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 : 2020-08-01DOI: 10.1109/UCET51115.2020.9205327
Bushra Qayyum, Guinan Li, M. Kasil, Bushra Haq, Kamran Ali, A. Lasebae, M. Raza, Btissam Er Rahmadi
The main challenge in designing a wireless sensor network is the optimization of the energy consumption and the delay in passing the signal from leaf nodes to the base station in different application areas. Examples of sensor networking applications include fire detection, disaster recovery, crowd management and many others. The two parameters; signal delay and energy consumption are very interconnected with a huge tradeoff as trying to control one of them will certainly affect the other adversely. The objective of this paper is to propose a scheme of network architecture where both parameters are optimized resulting in minimum energy consumption and minimum possible signal delay. We propose implementing partial aggregation as opposed to no aggregation or full aggregation. Results obtained from the test carried on an actual network setting have shown that partial aggregation works better compared to the other two techniques.
{"title":"Evaluation of Energy Consumption and Delay in Different Modes of Data Aggregation for Wireless Sensor Networks","authors":"Bushra Qayyum, Guinan Li, M. Kasil, Bushra Haq, Kamran Ali, A. Lasebae, M. Raza, Btissam Er Rahmadi","doi":"10.1109/UCET51115.2020.9205327","DOIUrl":"https://doi.org/10.1109/UCET51115.2020.9205327","url":null,"abstract":"The main challenge in designing a wireless sensor network is the optimization of the energy consumption and the delay in passing the signal from leaf nodes to the base station in different application areas. Examples of sensor networking applications include fire detection, disaster recovery, crowd management and many others. The two parameters; signal delay and energy consumption are very interconnected with a huge tradeoff as trying to control one of them will certainly affect the other adversely. The objective of this paper is to propose a scheme of network architecture where both parameters are optimized resulting in minimum energy consumption and minimum possible signal delay. We propose implementing partial aggregation as opposed to no aggregation or full aggregation. Results obtained from the test carried on an actual network setting have shown that partial aggregation works better compared to the other two techniques.","PeriodicalId":163493,"journal":{"name":"2020 International Conference on UK-China Emerging Technologies (UCET)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127514009","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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