Pub Date : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315547
H. B. Divyashree, C. Puttamadappa, K. Nandini Prasad
Mobile Ad Hoc Networks (MANETs) are self-directed wireless networks, which form dynamic topology and communicate through multi-hop networks. MANETs are playing an important role in technology from the last two decades, trends and usage of MANETs has drastically increased because of its wide range of applications. These include, Defense, Healthcare, vehicular Ad Hoc networks, commercial sector, Academic and Industrial Environment Applications, etc. As a result, MANETs have become one of the most rapidly emerging fields in the market. MANETs work with better QOS performance standards such as throughput, end to end delay, jitter, PDR, reliability, bandwidth. In this paper priority aware mechanism in AOMDV protocol, Adaptive modulation & coding (AMC), delay and energy- aware protocol, Packet prioritization methods are being summarized. This paper provides a systematic comparison of the mechanisms used by various authors in developing algorithms and ways to improve their performance is being reviewed.
{"title":"Performance Analysis and Enhancement of QoS Parameters for Real-Time Applications in MANETs-Comparative Study","authors":"H. B. Divyashree, C. Puttamadappa, K. Nandini Prasad","doi":"10.1109/RTEICT49044.2020.9315547","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315547","url":null,"abstract":"Mobile Ad Hoc Networks (MANETs) are self-directed wireless networks, which form dynamic topology and communicate through multi-hop networks. MANETs are playing an important role in technology from the last two decades, trends and usage of MANETs has drastically increased because of its wide range of applications. These include, Defense, Healthcare, vehicular Ad Hoc networks, commercial sector, Academic and Industrial Environment Applications, etc. As a result, MANETs have become one of the most rapidly emerging fields in the market. MANETs work with better QOS performance standards such as throughput, end to end delay, jitter, PDR, reliability, bandwidth. In this paper priority aware mechanism in AOMDV protocol, Adaptive modulation & coding (AMC), delay and energy- aware protocol, Packet prioritization methods are being summarized. This paper provides a systematic comparison of the mechanisms used by various authors in developing algorithms and ways to improve their performance is being reviewed.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125879150","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315677
M. Lohith, S. P. Pramod Kumar, TV Narendra, S. Pradeep Kumar, A. Darshan, NR Bhyratae Prashanth
In military and commercial applications, locating radio frequency transmitters accurately includes global positioning, locating hostile radar systems precisely and finding the location of beacon which is sending emergency signals. Many geo location methods use Arrival Time Difference (ATD) and Arrival Frequency Difference (AFD) between two collectors which collects the signal from transmitters’ dissimilarity in two Doppler’s is same indicates that AFD is same among collectors, the ATD can be found using simple cross correlation computations. The AFD has cardinal value which prevents the use of cross correlation techniques when there is movement of transmitters with respect to collectors. To achieve Cross Ambiguity Function (CAF) parameter, an ATD and AFD must be calculated collaboratively. We adapted advanced computations approach to find out CAF efficiently. Using advanced computations, the modified CAF mapping is projected and also shown geo location of the beacon emitting signals can be done by using CAF mapping method. Analysis results discussion is provided to verify simulation.
{"title":"CAF Technique in Position Recognition for Wireless Application","authors":"M. Lohith, S. P. Pramod Kumar, TV Narendra, S. Pradeep Kumar, A. Darshan, NR Bhyratae Prashanth","doi":"10.1109/RTEICT49044.2020.9315677","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315677","url":null,"abstract":"In military and commercial applications, locating radio frequency transmitters accurately includes global positioning, locating hostile radar systems precisely and finding the location of beacon which is sending emergency signals. Many geo location methods use Arrival Time Difference (ATD) and Arrival Frequency Difference (AFD) between two collectors which collects the signal from transmitters’ dissimilarity in two Doppler’s is same indicates that AFD is same among collectors, the ATD can be found using simple cross correlation computations. The AFD has cardinal value which prevents the use of cross correlation techniques when there is movement of transmitters with respect to collectors. To achieve Cross Ambiguity Function (CAF) parameter, an ATD and AFD must be calculated collaboratively. We adapted advanced computations approach to find out CAF efficiently. Using advanced computations, the modified CAF mapping is projected and also shown geo location of the beacon emitting signals can be done by using CAF mapping method. Analysis results discussion is provided to verify simulation.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"277 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122688292","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315578
J. Avinash, K. S. Sunil Kumar, G. Arjun Kumar, G. Poornima, R. Gatti, S. Santosh Kumar
Agriculture is the main livelihood source for 58% of the population of India. The Indian food industry is on the verge of massive growth, which each year increases its contribution to world trade in food because of its immense potential for added value. Particularly, in the food-processing industry which contribute to 16% of total GDP and 10% of exports. In this paper monitor agricultural land and displaying the parameters that has been sensed through Wireless Sensor Network (WSN). If anyone wants to include technology in agriculture, he should be aware of agriculture process. In this proposed work, we monitor the agriculture field at a distance by using XBee technology. We have connected various sensors to monitor field and depending on sensor values necessary actions will be taken. Main advantage of proposed work is consumption of power will be very less to communicate over other wireless communication technologies.
{"title":"A Wireless Sensor Network Based Precision Agriculture","authors":"J. Avinash, K. S. Sunil Kumar, G. Arjun Kumar, G. Poornima, R. Gatti, S. Santosh Kumar","doi":"10.1109/RTEICT49044.2020.9315578","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315578","url":null,"abstract":"Agriculture is the main livelihood source for 58% of the population of India. The Indian food industry is on the verge of massive growth, which each year increases its contribution to world trade in food because of its immense potential for added value. Particularly, in the food-processing industry which contribute to 16% of total GDP and 10% of exports. In this paper monitor agricultural land and displaying the parameters that has been sensed through Wireless Sensor Network (WSN). If anyone wants to include technology in agriculture, he should be aware of agriculture process. In this proposed work, we monitor the agriculture field at a distance by using XBee technology. We have connected various sensors to monitor field and depending on sensor values necessary actions will be taken. Main advantage of proposed work is consumption of power will be very less to communicate over other wireless communication technologies.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129466829","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315688
B. Ramesh, M. Divya, G. Revathi
Smart farming is a trending technique to improve traditional agricultural methods to expand efficiency, reduce manual power and to reduce overall cost in agricultural field. This paper designed and implemented automated cultivating framework called FARM EASY in farm field. As the name proposes, the paper makes cultivating simple and effective with the assistance of Internet Of Things (IoT) which helps in monitoring and controlling of parameters in farm field from anywhere in the world using Wireless sensor Network. This paper proposes implementation of FARM EASY for increased production, increased quality of crops, conservation of water, updating real-time data and production insight, overall operation costs will be reduced, remote monitoring and Pest detection. The objective of this paper is to design low cost smart agricultural field and proposes how real data can be sent, visualized and analyzed in cloud server Thingspeak for further prediction. This paper is implemented to detect and predicted appropriate moisture level of ladies finger plant to grow in farm field.
{"title":"Farm Easy- IoT based Automated Irrigation, Monitoring and Pest Detection using ThingSpeak for Analysis of Ladies Finger Plant.","authors":"B. Ramesh, M. Divya, G. Revathi","doi":"10.1109/RTEICT49044.2020.9315688","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315688","url":null,"abstract":"Smart farming is a trending technique to improve traditional agricultural methods to expand efficiency, reduce manual power and to reduce overall cost in agricultural field. This paper designed and implemented automated cultivating framework called FARM EASY in farm field. As the name proposes, the paper makes cultivating simple and effective with the assistance of Internet Of Things (IoT) which helps in monitoring and controlling of parameters in farm field from anywhere in the world using Wireless sensor Network. This paper proposes implementation of FARM EASY for increased production, increased quality of crops, conservation of water, updating real-time data and production insight, overall operation costs will be reduced, remote monitoring and Pest detection. The objective of this paper is to design low cost smart agricultural field and proposes how real data can be sent, visualized and analyzed in cloud server Thingspeak for further prediction. This paper is implemented to detect and predicted appropriate moisture level of ladies finger plant to grow in farm field.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128097691","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315634
G. Sagarika, S.J.Krishna Prasad, S. Mohana Kumar, S Mohanakumar
India and other Asian countries have been facing challenges over couple of decades which affect the yield in paddy plants. Challenges listed are dropping water resources/rainfall, lack of innovative scientific methods and diseases affecting the plants. These challenges have direct impact on yield of the crop eventually affect country’s economy. Paddy leaf is the main investigative part of this plant providing information regarding the health status of the plant, which affect quality and quantity of the paddy crop yield. This work proposes an innovative solution with image processing and convolution neural network (CNN) to classify paddy plants as belonging to type of disease classes based on data obtained from agricultural image database repositories. CNN is natural choice as it is deep learning algorithm associated with faster convergence, accuracy in classifications with minimal training sets. This work proposes 10 layers of CNN for classification with maximum epochs of 20 with learning rate of 0.0001. Performance parameters obtained are accuracy as 94.12% and confusion matrix. Results of classification are migrated to IOT makers website.Results can provide fast and accurate safety measures such as recommendations of pesticides to arrest growth of disease. Thus system results will enhance yield of the crop.
{"title":"Paddy Plant Disease Classification and Prediction Using Convolutional Neural Network","authors":"G. Sagarika, S.J.Krishna Prasad, S. Mohana Kumar, S Mohanakumar","doi":"10.1109/RTEICT49044.2020.9315634","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315634","url":null,"abstract":"India and other Asian countries have been facing challenges over couple of decades which affect the yield in paddy plants. Challenges listed are dropping water resources/rainfall, lack of innovative scientific methods and diseases affecting the plants. These challenges have direct impact on yield of the crop eventually affect country’s economy. Paddy leaf is the main investigative part of this plant providing information regarding the health status of the plant, which affect quality and quantity of the paddy crop yield. This work proposes an innovative solution with image processing and convolution neural network (CNN) to classify paddy plants as belonging to type of disease classes based on data obtained from agricultural image database repositories. CNN is natural choice as it is deep learning algorithm associated with faster convergence, accuracy in classifications with minimal training sets. This work proposes 10 layers of CNN for classification with maximum epochs of 20 with learning rate of 0.0001. Performance parameters obtained are accuracy as 94.12% and confusion matrix. Results of classification are migrated to IOT makers website.Results can provide fast and accurate safety measures such as recommendations of pesticides to arrest growth of disease. Thus system results will enhance yield of the crop.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126873078","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315609
Reema Mathew, P. Amrutha, S. Sahoo, Binsu C. Kovoor, Y. S. Nijagunarya
Mobile Ad-hoc Networks (MANETs) is a continuously self-configuring, self-organizing infrastructureless network of mobile nodes connected wirelessly. Therefore the recurring link breakages can occur in MANET, also the network topology is assumed to be highly dynamic leading to changes in the routing table, which is a key factor to the MANET performance. In this paper, a new protocol called as opportunistic auto rate anthocnet protocol is proposed that can be utilized in MANETs for improving the throughput while adapting to the change in the network topology. The original anthocnet and proposed opportunistic auto rate anthocnet protocol are simulated on the Network Simulator 2 (NS2) to compare the performance of these two protocols. The main objective of this research is to compare the throughput performance of existing anthocnet protocol and proposed OAR-Anthocnet protocol under different network conditions. The obtained simulation result shows that the throughput of the proposed OAR-Anthocnet protocol is nearly twice as compared to the anthocnet protocol due to its opportunistic nature.
{"title":"MANET with Opportunistic Auto-Rate Anthocnet Protocol","authors":"Reema Mathew, P. Amrutha, S. Sahoo, Binsu C. Kovoor, Y. S. Nijagunarya","doi":"10.1109/RTEICT49044.2020.9315609","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315609","url":null,"abstract":"Mobile Ad-hoc Networks (MANETs) is a continuously self-configuring, self-organizing infrastructureless network of mobile nodes connected wirelessly. Therefore the recurring link breakages can occur in MANET, also the network topology is assumed to be highly dynamic leading to changes in the routing table, which is a key factor to the MANET performance. In this paper, a new protocol called as opportunistic auto rate anthocnet protocol is proposed that can be utilized in MANETs for improving the throughput while adapting to the change in the network topology. The original anthocnet and proposed opportunistic auto rate anthocnet protocol are simulated on the Network Simulator 2 (NS2) to compare the performance of these two protocols. The main objective of this research is to compare the throughput performance of existing anthocnet protocol and proposed OAR-Anthocnet protocol under different network conditions. The obtained simulation result shows that the throughput of the proposed OAR-Anthocnet protocol is nearly twice as compared to the anthocnet protocol due to its opportunistic nature.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121755102","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315717
K. Chowdhury, Mirzaee Iraj
Autism Spectrum Disorder (ASD) is on the rise and constantly growing. Earlier identify of ASD with the best outcome will allow someone to be safe and healthy by proper nursing. Humans are hard to estimate the present condition and stage of ASD by measuring primary symptoms. Therefore, it is being necessary to develop a method that will provide the best outcome and measurement of ASD. This paper aims to show several measurements that implemented in several classifiers. Among them, Support Vector Machine (SVM) provides the best result and under SVM, there are also some kernels to perform. Among them, the Gaussian Radial Kernel gives the best result. The proposed classifier achieves 95% accuracy using the publicly available standard ASD dataset.
{"title":"Predicting Autism Spectrum Disorder Using Machine Learning Classifiers","authors":"K. Chowdhury, Mirzaee Iraj","doi":"10.1109/RTEICT49044.2020.9315717","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315717","url":null,"abstract":"Autism Spectrum Disorder (ASD) is on the rise and constantly growing. Earlier identify of ASD with the best outcome will allow someone to be safe and healthy by proper nursing. Humans are hard to estimate the present condition and stage of ASD by measuring primary symptoms. Therefore, it is being necessary to develop a method that will provide the best outcome and measurement of ASD. This paper aims to show several measurements that implemented in several classifiers. Among them, Support Vector Machine (SVM) provides the best result and under SVM, there are also some kernels to perform. Among them, the Gaussian Radial Kernel gives the best result. The proposed classifier achieves 95% accuracy using the publicly available standard ASD dataset.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124144787","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315599
P. Patel, D. K. Meda
This paper presents a 28GHz Rectangular Microstrip Patch Antenna for 5G Communication. This antenna is designed to achieve higher bandwidth, higher gain and better return loss for 5G cellular applications. It has a compact size of (6.2mm X 7.2mm) antenna at operating frequency 28GHz. The proposed antenna return loss is -26.40 dB, Bandwidth is 1.102 GHz, this proposed antenna design is light weighted, small size and low fabrication cost and achieved a good gain of 7.4 dB and VSWR 1.018 at operating frequency 28GHz. All the parameter of the antenna optimized and simulated using the ANSYS HFSS simulation software.
本文提出了一种用于5G通信的28GHz矩形微带贴片天线。该天线旨在为5G蜂窝应用实现更高的带宽、更高的增益和更好的回波损耗。它有一个紧凑的尺寸(6.2mm X 7.2mm)天线，工作频率为28GHz。天线回波损耗为-26.40 dB，带宽为1.102 GHz，天线设计重量轻，体积小，制造成本低，在28GHz工作频率下，增益为7.4 dB，驻波比为1.018。利用ANSYS HFSS仿真软件对天线的各项参数进行了优化和仿真。
{"title":"28GHz Millimeter Wave Rectangular Microstrip Patch Antenna for 5G Communication","authors":"P. Patel, D. K. Meda","doi":"10.1109/RTEICT49044.2020.9315599","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315599","url":null,"abstract":"This paper presents a 28GHz Rectangular Microstrip Patch Antenna for 5G Communication. This antenna is designed to achieve higher bandwidth, higher gain and better return loss for 5G cellular applications. It has a compact size of (6.2mm X 7.2mm) antenna at operating frequency 28GHz. The proposed antenna return loss is -26.40 dB, Bandwidth is 1.102 GHz, this proposed antenna design is light weighted, small size and low fabrication cost and achieved a good gain of 7.4 dB and VSWR 1.018 at operating frequency 28GHz. All the parameter of the antenna optimized and simulated using the ANSYS HFSS simulation software.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"05 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127267828","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}
The advancement of portable electronic devices leads to the requirement of digital circuits which are fast, small in size and consume minimal power.High speed addition has always been a primary requirement for high-performance processors.Conventionally, CMOS logic is used to design adder topologies but as the transistor count decreases the threshold loss problems seem to creep in. To eliminate this problem, optimized values of aspect ratios (W/L) with body bias voltage are choosen and a suitable combination is selected to design 2T AND, 2T OR and 3T XOR cells based on the Pass Transistor Logic (PTL).The modified area efficient PTL structures give better performance in terms of speed with a reasonable threshold loss. The design is carried out in Cadence Virtuoso tool for 180nm.Further, 3T XOR and 8T FA and circuits have been designed and analyzed in 45nm technology.PTL based designs in 45nm with proper body bias voltage are showing improved results in terms of power, speed, area and giving strong 1(0.994V) and strong 0(0V) values with reduction in threshold loss. Finally, a comparative study is also made with the fast adder circuits already available in the literature.
{"title":"Design and Analysis of PTL based Basic gates and Adder with Improved Performance","authors":"Neeraja Bandi, Rajkumar Ramavath, Sathish Kumar Meda","doi":"10.1109/RTEICT49044.2020.9315581","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315581","url":null,"abstract":"The advancement of portable electronic devices leads to the requirement of digital circuits which are fast, small in size and consume minimal power.High speed addition has always been a primary requirement for high-performance processors.Conventionally, CMOS logic is used to design adder topologies but as the transistor count decreases the threshold loss problems seem to creep in. To eliminate this problem, optimized values of aspect ratios (W/L) with body bias voltage are choosen and a suitable combination is selected to design 2T AND, 2T OR and 3T XOR cells based on the Pass Transistor Logic (PTL).The modified area efficient PTL structures give better performance in terms of speed with a reasonable threshold loss. The design is carried out in Cadence Virtuoso tool for 180nm.Further, 3T XOR and 8T FA and circuits have been designed and analyzed in 45nm technology.PTL based designs in 45nm with proper body bias voltage are showing improved results in terms of power, speed, area and giving strong 1(0.994V) and strong 0(0V) values with reduction in threshold loss. Finally, a comparative study is also made with the fast adder circuits already available in the literature.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":" 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120934281","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315582
Nidhi Sinha, Meenatchi Sundaram, Abhijit Sinha
To approve of action first identity of the requestor needs to be established which is authentication. A lot of research work done to secure the identity of IoT device focusing either on bootstrapping credentials, securing it to ensure no tamper can happen in the first place, and if forbids it happens ever, detect the compromised device and block it from further grants of access. Focus on authentication further goes deeper in the advancement of research at the protocol level to optimize the number of bytes under transfer as well as processing time needed and latency. Authorization is indeed mentioned but grossly left out as custom needs and implementation specific to the organization. In this paper, we propose solution to address the concern where a non-statically preconfigured IoT device needs to connect and ask permission/authorization to gain access or perform a certain operation. We also attempt to provide a solution to provide escalated permission to perform an action in a controlled order. Here the solution focuses on allowing a low privileged device is eventually authorized to perform operation which under normal circumstances is not allowed to, however allowed by due to association of device having privilege. Implementation done on Raspberry Pi to simulate IoT client and server written in Java as IAM server to demonstrate the feasibility of solution.
{"title":"Authorization Secured Dynamic Privileged Escalation","authors":"Nidhi Sinha, Meenatchi Sundaram, Abhijit Sinha","doi":"10.1109/RTEICT49044.2020.9315582","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315582","url":null,"abstract":"To approve of action first identity of the requestor needs to be established which is authentication. A lot of research work done to secure the identity of IoT device focusing either on bootstrapping credentials, securing it to ensure no tamper can happen in the first place, and if forbids it happens ever, detect the compromised device and block it from further grants of access. Focus on authentication further goes deeper in the advancement of research at the protocol level to optimize the number of bytes under transfer as well as processing time needed and latency. Authorization is indeed mentioned but grossly left out as custom needs and implementation specific to the organization. In this paper, we propose solution to address the concern where a non-statically preconfigured IoT device needs to connect and ask permission/authorization to gain access or perform a certain operation. We also attempt to provide a solution to provide escalated permission to perform an action in a controlled order. Here the solution focuses on allowing a low privileged device is eventually authorized to perform operation which under normal circumstances is not allowed to, however allowed by due to association of device having privilege. Implementation done on Raspberry Pi to simulate IoT client and server written in Java as IAM server to demonstrate the feasibility of solution.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122617847","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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