Pub Date : 2019-04-01DOI: 10.1109/ICOEI.2019.8862546
S. Sreenath, M. Panda
The current roads and supporting infrastructure are often found to be incapable of handling the rapid increase in traffic, leading to congestion and incidents. The availability of accurate and real-time information about the traffic demands may go a long way in designing better traffic control and management systems. Two important quantities of interest for traffic control are the ‘traffic count’ on road segments between junctions and ‘turning fractions’ at the junctions. Together, these two quantities can determine the traffic flow requirements over the road network. The aims of the paper are to investigate the performance of the Vehicle-to-UAV (V2U) communication method for traffic counting and turning fraction estimation using vehicular network simulations and compare with the performance of Bluetooth and loop detectors.
{"title":"Traffic Counting and Turning Fraction Estimation using Vehicle-to-UAV Co-operative communication","authors":"S. Sreenath, M. Panda","doi":"10.1109/ICOEI.2019.8862546","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862546","url":null,"abstract":"The current roads and supporting infrastructure are often found to be incapable of handling the rapid increase in traffic, leading to congestion and incidents. The availability of accurate and real-time information about the traffic demands may go a long way in designing better traffic control and management systems. Two important quantities of interest for traffic control are the ‘traffic count’ on road segments between junctions and ‘turning fractions’ at the junctions. Together, these two quantities can determine the traffic flow requirements over the road network. The aims of the paper are to investigate the performance of the Vehicle-to-UAV (V2U) communication method for traffic counting and turning fraction estimation using vehicular network simulations and compare with the performance of Bluetooth and loop detectors.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115601014","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 : 2019-04-01DOI: 10.1109/ICOEI.2019.8862712
A. Vijay, K. Umadevi
Security issues arises with the massive elevation in quantity of mobile users along with high data rate services proposed by 5G networks. D2D communication technique is an optimized method to support various demands on massive data transfer rates among the users in 5G networks. Massive MIMO (Multiple-input and Multiple-output) based antenna systems are deployed to achieve these huge data demands in 5G technology. However, the drawbacks owing to expanding computational overhead in methods of allocating resource, reducing interference, energy optimization and several other problems in D2D networks are compromised with the help of emerging technology of Explainable Artificial Intelligence (XAI). Furthermore, a novel approach based on AI is implemented with an Architectural design for D2D network in decision making over the implementation of techniques based on the persisting situation in the D2D network. Finally, Security protocols based on network demands are implemented through AI in D2D Communications of Massive MIMO based 5G Networks
{"title":"Secured AI guided Architecture for D2D Systems of Massive MIMO deployed in 5G Networks","authors":"A. Vijay, K. Umadevi","doi":"10.1109/ICOEI.2019.8862712","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862712","url":null,"abstract":"Security issues arises with the massive elevation in quantity of mobile users along with high data rate services proposed by 5G networks. D2D communication technique is an optimized method to support various demands on massive data transfer rates among the users in 5G networks. Massive MIMO (Multiple-input and Multiple-output) based antenna systems are deployed to achieve these huge data demands in 5G technology. However, the drawbacks owing to expanding computational overhead in methods of allocating resource, reducing interference, energy optimization and several other problems in D2D networks are compromised with the help of emerging technology of Explainable Artificial Intelligence (XAI). Furthermore, a novel approach based on AI is implemented with an Architectural design for D2D network in decision making over the implementation of techniques based on the persisting situation in the D2D network. Finally, Security protocols based on network demands are implemented through AI in D2D Communications of Massive MIMO based 5G Networks","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115719167","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 : 2019-04-01DOI: 10.1109/ICOEI.2019.8862687
P. Biswas, Raghavaraju Charitha, S. Gavel, A. S. Raghuvanshi
The adoption of data aggregation depending on data fusion and data acquisition for wireless sensor networks (WSN) is increasing these days. While in WSN, the sensor node senses data and send them to the end node. The application of WSN gets limited due to its features such as low-cost sensor nodes, limited battery backups. The usage of sensor nodes in WSN becomes prone to faulty behavior due to its resource constraint and easily gets defected. Predictive detection using data fusion can be a better choice in order to detect the fault with low transmission energy and low power usage. Considering the conditions of the sensor node with its limited capacity of storing and processing of data, a hybrid predictive classification technique is proposed by using the Kalman filter with Extreme learning machine. Here for data fusion Kalman filter is used to train the sink node with the faulty pattern of data in place of training it with the larger amount. In addition, Extreme learning machine (ELM) is used as a predictive classifier, which can provide a high prediction with low communication overhead. The proposed work is evaluated using standard WSN data by inserting random anomalies to it. The performance is measured in terms of detection accuracy and computational time.
{"title":"Fault Detection using hybrid of KF-ELM for Wireless Sensor Networks","authors":"P. Biswas, Raghavaraju Charitha, S. Gavel, A. S. Raghuvanshi","doi":"10.1109/ICOEI.2019.8862687","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862687","url":null,"abstract":"The adoption of data aggregation depending on data fusion and data acquisition for wireless sensor networks (WSN) is increasing these days. While in WSN, the sensor node senses data and send them to the end node. The application of WSN gets limited due to its features such as low-cost sensor nodes, limited battery backups. The usage of sensor nodes in WSN becomes prone to faulty behavior due to its resource constraint and easily gets defected. Predictive detection using data fusion can be a better choice in order to detect the fault with low transmission energy and low power usage. Considering the conditions of the sensor node with its limited capacity of storing and processing of data, a hybrid predictive classification technique is proposed by using the Kalman filter with Extreme learning machine. Here for data fusion Kalman filter is used to train the sink node with the faulty pattern of data in place of training it with the larger amount. In addition, Extreme learning machine (ELM) is used as a predictive classifier, which can provide a high prediction with low communication overhead. The proposed work is evaluated using standard WSN data by inserting random anomalies to it. The performance is measured in terms of detection accuracy and computational time.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124869052","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 : 2019-04-01DOI: 10.1109/ICOEI.2019.8862755
A. Babu, B. Kotturshettar, A. Giriyapur
Legged motion has significant advantages over traditional locomotion techniques. Research and development on it have been constantly improving over the last couple of decades. Though there are numerous techniques in developing legged biped motion, none of them is fully satisfactory. The main aspects of legged motion are active balancing, smooth pattern generation and control. These play an important role in legged motion and there are numerous techniques developed to achieve it. The research that is shown in this project is to implement model-based design methodology in developing ZMP stability algorithm. The main area that is been concentrated in the implementation of hardware-in-loop (HIL) simulation using an xPC – target computer. The robot walking gait is generated by developing a Simulink plant model where the joint angles are tested on a virtual simulation platform.
{"title":"Investigate Feasibility of Model-Based Design Approach to Develop a Biped Walking Robot","authors":"A. Babu, B. Kotturshettar, A. Giriyapur","doi":"10.1109/ICOEI.2019.8862755","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862755","url":null,"abstract":"Legged motion has significant advantages over traditional locomotion techniques. Research and development on it have been constantly improving over the last couple of decades. Though there are numerous techniques in developing legged biped motion, none of them is fully satisfactory. The main aspects of legged motion are active balancing, smooth pattern generation and control. These play an important role in legged motion and there are numerous techniques developed to achieve it. The research that is shown in this project is to implement model-based design methodology in developing ZMP stability algorithm. The main area that is been concentrated in the implementation of hardware-in-loop (HIL) simulation using an xPC – target computer. The robot walking gait is generated by developing a Simulink plant model where the joint angles are tested on a virtual simulation platform.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125860054","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 : 2019-04-01DOI: 10.1109/ICOEI.2019.8862663
Rushikesh Kshirsagar, R. Mudhalwadkar, Saish Kalaskar
Water is an essential need for human survival and the quality of the water always affects human health. If water is contaminated its leads to severe diseases. For the same reason, we must monitor the quality of the water. We can determine the quality of the water by measuring its parameters like pH, Conductivity and Turbidity. This paper presents the idea about low-cost IOT based portable approach for water quality measurements system. Because of its low-cost approach, everyone can afford to use it to determine quality of water. Due to IOT (internet of things), remote measurement is possible. The signal conditioning of all three sensors uses the LMC 6001 IC in a different configuration and STM32F411RE microcontroller for the data acquisition and scaling of the data. SN8200 Wi-Fi module is interfaced with a microcontroller to send data on the cloud server. While doing the experiments all three sensors are calibrated against standard solution and relationship between temperature and pH is studied. All measured data stored on the cloud database and used for further analysis of water quality.
{"title":"Design and Development of IoT Based Water Quality Measurement System","authors":"Rushikesh Kshirsagar, R. Mudhalwadkar, Saish Kalaskar","doi":"10.1109/ICOEI.2019.8862663","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862663","url":null,"abstract":"Water is an essential need for human survival and the quality of the water always affects human health. If water is contaminated its leads to severe diseases. For the same reason, we must monitor the quality of the water. We can determine the quality of the water by measuring its parameters like pH, Conductivity and Turbidity. This paper presents the idea about low-cost IOT based portable approach for water quality measurements system. Because of its low-cost approach, everyone can afford to use it to determine quality of water. Due to IOT (internet of things), remote measurement is possible. The signal conditioning of all three sensors uses the LMC 6001 IC in a different configuration and STM32F411RE microcontroller for the data acquisition and scaling of the data. SN8200 Wi-Fi module is interfaced with a microcontroller to send data on the cloud server. While doing the experiments all three sensors are calibrated against standard solution and relationship between temperature and pH is studied. All measured data stored on the cloud database and used for further analysis of water quality.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123595732","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 : 2019-04-01DOI: 10.1109/ICOEI.2019.8862676
Anilkumar Ambore, Rani V. Udaya
In the present computerized world the extent of the information is expanding at an arbitrary speed. Simultaneously, need to process and examine huge amounts of information likewise expanded. In a few challenge commercial enterprise and logical programs, there's a want to technique petabytes of information in productive way day by day. Hadoop is most popularly used in data intensive applications. The current Hadoop usage accept that computing are homogeneous in nature. The capacity of tremendous amount of information in Hadoop is done using Hadoop Distributed File System (HDFS). HDFS employments block placement arrangement to part a really expansive record into pieces and place them over the cluster in a distributed way. In the present era of social networking, we cannot imagine having a cluster of homogeneous nodes only. Information region has not been taken under consideration for propelling theoretical outline assignments, since it is expected that the most mappings are data-local. To bargain with this Hadoop has usefulness to duplicate the information square where mappers are running. This makes a part of execution corruption particularly on heterogeneous cluster due to I/O delay or organize congestions In this survey we first brief introduction to the Big data, Hadoop and MapReduce. Later several data placement strategies in heterogeneous environment are studied.
{"title":"A Survey on Data Placement Strategy in Big Data Heterogeneous Environments","authors":"Anilkumar Ambore, Rani V. Udaya","doi":"10.1109/ICOEI.2019.8862676","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862676","url":null,"abstract":"In the present computerized world the extent of the information is expanding at an arbitrary speed. Simultaneously, need to process and examine huge amounts of information likewise expanded. In a few challenge commercial enterprise and logical programs, there's a want to technique petabytes of information in productive way day by day. Hadoop is most popularly used in data intensive applications. The current Hadoop usage accept that computing are homogeneous in nature. The capacity of tremendous amount of information in Hadoop is done using Hadoop Distributed File System (HDFS). HDFS employments block placement arrangement to part a really expansive record into pieces and place them over the cluster in a distributed way. In the present era of social networking, we cannot imagine having a cluster of homogeneous nodes only. Information region has not been taken under consideration for propelling theoretical outline assignments, since it is expected that the most mappings are data-local. To bargain with this Hadoop has usefulness to duplicate the information square where mappers are running. This makes a part of execution corruption particularly on heterogeneous cluster due to I/O delay or organize congestions In this survey we first brief introduction to the Big data, Hadoop and MapReduce. Later several data placement strategies in heterogeneous environment are studied.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116418957","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 : 2019-04-01DOI: 10.1109/ICOEI.2019.8862632
Misna Ali, Shahsad Abdullah, C. S. Raizal, K. Rohith, Varun G. Menon
Fatigue among drivers is a major cause of road accidents every year in India. Lack of sound sleep for six to eight hours is one of the primary reasons behind this fatigue. Drivers with sleep deprivation can imbalance the reaction time and decision making when behind the wheels and this can increase the cause of accidents. This type of accidents is more likely to result in death or severe injury as they tend to be in high speed and because of the fact that driver has fallen asleep cannot apply brake or skew to avoid or reduce the impact. Therefore, it is highly essential to create a smart system which can spot and alert the driver of his/her condition. Although there are few solutions proposed in this direction, most of them have not been implemented successfully and many of them only remain in theory. In this research paper, we propose an efficient driver fatigue detection and alert system using mainly open source technologies. We implement and test this system in real time and the results are highly encouraging compared to many existing systems.
{"title":"A Novel and Efficient Real Time Driver Fatigue and Yawn Detection-Alert System","authors":"Misna Ali, Shahsad Abdullah, C. S. Raizal, K. Rohith, Varun G. Menon","doi":"10.1109/ICOEI.2019.8862632","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862632","url":null,"abstract":"Fatigue among drivers is a major cause of road accidents every year in India. Lack of sound sleep for six to eight hours is one of the primary reasons behind this fatigue. Drivers with sleep deprivation can imbalance the reaction time and decision making when behind the wheels and this can increase the cause of accidents. This type of accidents is more likely to result in death or severe injury as they tend to be in high speed and because of the fact that driver has fallen asleep cannot apply brake or skew to avoid or reduce the impact. Therefore, it is highly essential to create a smart system which can spot and alert the driver of his/her condition. Although there are few solutions proposed in this direction, most of them have not been implemented successfully and many of them only remain in theory. In this research paper, we propose an efficient driver fatigue detection and alert system using mainly open source technologies. We implement and test this system in real time and the results are highly encouraging compared to many existing systems.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"476 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122738515","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 : 2019-04-01DOI: 10.1109/ICOEI.2019.8862733
N. M. Wadalkar, R. Mudhalwadkar, Akshay A. Sulkekar
Milk is nutrient rich food which seems to have no adequate substitute. A1 and A2 are specific type of proteins found in cow's milk with different proportion depending upon breed to the cattle. The intake of $beta$ casin protein with A1 and A2 milk leads to the health disease. Since, purpose of this paper is not to find which type of milk is better for consumption. Though the use of A1 and A2 type of milk varies but adulteration method of milk is common. Usually the milk is adulterated with common adulterants such as sodium hydroxide, hydrogen peroxide, formaldehyde. The paper proposed a methodology for detection of milk adulteration in A1 and A2 type of milk by using electrical impedance measurement.
{"title":"Development of Electrical Impedance Sensor System for Milk Adulteration (A1 and A2)","authors":"N. M. Wadalkar, R. Mudhalwadkar, Akshay A. Sulkekar","doi":"10.1109/ICOEI.2019.8862733","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862733","url":null,"abstract":"Milk is nutrient rich food which seems to have no adequate substitute. A1 and A2 are specific type of proteins found in cow's milk with different proportion depending upon breed to the cattle. The intake of $beta$ casin protein with A1 and A2 milk leads to the health disease. Since, purpose of this paper is not to find which type of milk is better for consumption. Though the use of A1 and A2 type of milk varies but adulteration method of milk is common. Usually the milk is adulterated with common adulterants such as sodium hydroxide, hydrogen peroxide, formaldehyde. The paper proposed a methodology for detection of milk adulteration in A1 and A2 type of milk by using electrical impedance measurement.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123001645","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 : 2019-04-01DOI: 10.1109/ICOEI.2019.8862524
Vaishnavi V. Hadke, Mohan P. Thakre
A multilevel converter topology for switched reluctance motor (SRM) drive with integration of front end circuit is appealing for electric vehicle. As SRM carries the highlights like simple construction, high reliability, high fault tolerance capability and low production cost. However, the high torque ripples, running vibrations and acoustic noise are the major drawbacks in SRM. In proposed theory of a multilevel converter for five phase SRM drive overcome this drawbacks and flip it into advantages like high torque range, low torque ripple and vibration free response with flexible speed control. This paper represents a operating theory and simulation results of five phase muliltlevel converter for SRM drive. Which results, with increasing the number of phases the system performance is increase without increasing the number of switching devices and a comparison is shown based on torque speed characteristics of motor when fed from proposed converter and a asymmetric half bridge converter for different condition. This analysis states the proposed converter topology is advantages over the conventional converter topology, especially for the high speed response.
{"title":"Integrated Multilevel Converter Topology for Speed Control of SRM Drive in Plug in-Hybrid Electric Vehicle","authors":"Vaishnavi V. Hadke, Mohan P. Thakre","doi":"10.1109/ICOEI.2019.8862524","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862524","url":null,"abstract":"A multilevel converter topology for switched reluctance motor (SRM) drive with integration of front end circuit is appealing for electric vehicle. As SRM carries the highlights like simple construction, high reliability, high fault tolerance capability and low production cost. However, the high torque ripples, running vibrations and acoustic noise are the major drawbacks in SRM. In proposed theory of a multilevel converter for five phase SRM drive overcome this drawbacks and flip it into advantages like high torque range, low torque ripple and vibration free response with flexible speed control. This paper represents a operating theory and simulation results of five phase muliltlevel converter for SRM drive. Which results, with increasing the number of phases the system performance is increase without increasing the number of switching devices and a comparison is shown based on torque speed characteristics of motor when fed from proposed converter and a asymmetric half bridge converter for different condition. This analysis states the proposed converter topology is advantages over the conventional converter topology, especially for the high speed response.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121921422","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 : 2019-04-01DOI: 10.1109/ICOEI.2019.8862759
Mohammad Farhan Khan, Rajendra Kumar Dwivedi, Rakesh Kumar
Sensor doud is the integration of wireless sensor networks (WSN) and cloud computing. This integration is beneficial for both WSN providers and cloud service providers. WSN data can be kept over the cloud which can be efficiently used by several applications and through this integration the cloud provider can deliver sensor- as a- service. In sensor cloud, there are multiple physical sensor networks which are mapped with the virtual sensor networks using cloud in order to provide effective services to the users. End users are facilitated to execute multiple applications of WSNs through such VSNs. Some applications can also demand more than one WSN at a time. Although sensor doud has several advantages, still it has many research issues like energy efficiency, security, data transmission, QoS etc. This paper initiates a survey on energy efficient data transmission in sensor cloud which discusses and compares the existing techniques of this field.
{"title":"Energy Efficient Data Transmission in Sensor Cloud : A Review","authors":"Mohammad Farhan Khan, Rajendra Kumar Dwivedi, Rakesh Kumar","doi":"10.1109/ICOEI.2019.8862759","DOIUrl":"https://doi.org/10.1109/ICOEI.2019.8862759","url":null,"abstract":"Sensor doud is the integration of wireless sensor networks (WSN) and cloud computing. This integration is beneficial for both WSN providers and cloud service providers. WSN data can be kept over the cloud which can be efficiently used by several applications and through this integration the cloud provider can deliver sensor- as a- service. In sensor cloud, there are multiple physical sensor networks which are mapped with the virtual sensor networks using cloud in order to provide effective services to the users. End users are facilitated to execute multiple applications of WSNs through such VSNs. Some applications can also demand more than one WSN at a time. Although sensor doud has several advantages, still it has many research issues like energy efficiency, security, data transmission, QoS etc. This paper initiates a survey on energy efficient data transmission in sensor cloud which discusses and compares the existing techniques of this field.","PeriodicalId":212501,"journal":{"name":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117040977","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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