Pub Date : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716656
Chinmayee Panda, U. Bhanja
Various advanced digital signal processing techniques that includes modern algorithms and optimizations are applied to MIMO-OFDM system for cost and complexity reduction. A novel approach is utilized in the proposed model by taking the concatenated forward error correction codes with MIMO-OFDM system in free space. The performance of MIMO-OFDM-FSO system is investigated here which uses multiple antennas at both input and output sides along with orthogonal frequency division multiplexing technique that provides larger spectral efficiency. The purpose of this work is to reduce the bit error rate of MIMO-OFDM-FSO system to make it more energy efficient and economically suitable. Three concatenated Forward Error Correction (FEC) codes such as LDPC Code with Trellis coded modulation (TCM), Reed Solomon Code with Convolution codes, and LDPC Code with VBLAST are applied to MIMO-OF DM-FSO system to increase the energy efficiency with less power consumption which is a major economical concern. Gamma-Gamma channel is selected to investigate the BER performance of the system in strong and weak turbulence conditions and the result is simulated using MATLAB. The analysis shows that LDPC code concatenated with TCM code applied to MIMO-OFDM system exhibits better BER in the order of 10-9 in strong turbulence condition and 10-10 in weak turbulence condition. Further it is noticed that the concatenated FEC coded MIMO-OFDM is more energy efficient and shows better BER performance as compared to uncoded MIMO-OFDM in FSO.
{"title":"Energy Efficiency and BER analysis of Concatenated FEC Coded MIMO-OFDM-FSO System","authors":"Chinmayee Panda, U. Bhanja","doi":"10.1109/ICAECC54045.2022.9716656","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716656","url":null,"abstract":"Various advanced digital signal processing techniques that includes modern algorithms and optimizations are applied to MIMO-OFDM system for cost and complexity reduction. A novel approach is utilized in the proposed model by taking the concatenated forward error correction codes with MIMO-OFDM system in free space. The performance of MIMO-OFDM-FSO system is investigated here which uses multiple antennas at both input and output sides along with orthogonal frequency division multiplexing technique that provides larger spectral efficiency. The purpose of this work is to reduce the bit error rate of MIMO-OFDM-FSO system to make it more energy efficient and economically suitable. Three concatenated Forward Error Correction (FEC) codes such as LDPC Code with Trellis coded modulation (TCM), Reed Solomon Code with Convolution codes, and LDPC Code with VBLAST are applied to MIMO-OF DM-FSO system to increase the energy efficiency with less power consumption which is a major economical concern. Gamma-Gamma channel is selected to investigate the BER performance of the system in strong and weak turbulence conditions and the result is simulated using MATLAB. The analysis shows that LDPC code concatenated with TCM code applied to MIMO-OFDM system exhibits better BER in the order of 10-9 in strong turbulence condition and 10-10 in weak turbulence condition. Further it is noticed that the concatenated FEC coded MIMO-OFDM is more energy efficient and shows better BER performance as compared to uncoded MIMO-OFDM in FSO.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115373662","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716686
Ranjith Kumar Gatla, N. V. Prasad K, P. Sridhar, A. Satish Kumar, K. N. Reddy, Sayanti Chatterjee
Fault diagnosis in Multilevel Inverters (MLI) has taken worthwhile attention into account in this era. Researchers, Scholar, Engineers and Scientist are paying august attentions towards fault diagnosis in multilevel inverter they are also ascertaining new methods and techniques to diagnose accurate faults in minimum time. To develop fast and precise detection to make system more reliable and efficient, the performance evaluation of the drive under different fault conditions is required. This paper presents a detailed performance analysis of the Cascaded H-bridge Multilevel Inverter (CMLI) fed Permanent Magnet synchronous Motor (PMSM) under different fault (single and multiple switch faults) conditions. It will help to design a fast and accurate fault diagnosis technique to prevent the system failure.
{"title":"Performance Evaluation and Analysis of the CMLI fed PMSM with Various Fault Conditions","authors":"Ranjith Kumar Gatla, N. V. Prasad K, P. Sridhar, A. Satish Kumar, K. N. Reddy, Sayanti Chatterjee","doi":"10.1109/ICAECC54045.2022.9716686","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716686","url":null,"abstract":"Fault diagnosis in Multilevel Inverters (MLI) has taken worthwhile attention into account in this era. Researchers, Scholar, Engineers and Scientist are paying august attentions towards fault diagnosis in multilevel inverter they are also ascertaining new methods and techniques to diagnose accurate faults in minimum time. To develop fast and precise detection to make system more reliable and efficient, the performance evaluation of the drive under different fault conditions is required. This paper presents a detailed performance analysis of the Cascaded H-bridge Multilevel Inverter (CMLI) fed Permanent Magnet synchronous Motor (PMSM) under different fault (single and multiple switch faults) conditions. It will help to design a fast and accurate fault diagnosis technique to prevent the system failure.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"403 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124403599","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716652
Nandini Das, Tamal Pal
Watermarking is a very useful technique to ensure the integrity of a document image. But when too many bits are embedded into image, it reduces quality of the document. When limited number of watermark bits are used, these should not be concentrated in background or few parts of the image. As very few existing techniques address this issue, in this paper, we propose a watermark distribution scheme, which divides image into optimum number of segments and distributes watermark based on information content such that watermark is well spread across the document. After embedding, on average the proposed scheme achieves 31.79% more area with ensuring 38.59% better quality in terms of PSNR compared to state-of-the-art schemes.
{"title":"A technique for optimum distribution of watermark in a document image","authors":"Nandini Das, Tamal Pal","doi":"10.1109/ICAECC54045.2022.9716652","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716652","url":null,"abstract":"Watermarking is a very useful technique to ensure the integrity of a document image. But when too many bits are embedded into image, it reduces quality of the document. When limited number of watermark bits are used, these should not be concentrated in background or few parts of the image. As very few existing techniques address this issue, in this paper, we propose a watermark distribution scheme, which divides image into optimum number of segments and distributes watermark based on information content such that watermark is well spread across the document. After embedding, on average the proposed scheme achieves 31.79% more area with ensuring 38.59% better quality in terms of PSNR compared to state-of-the-art schemes.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116455902","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716599
Jayashree Agarkhed, Lubna Tahreem
Recently, Human Activity Recognition (HAR) has turned into an energetic exploration region, particularly because of the spread of electronic gadgets, for example, cell phones, digital watches and camcorders present in our everyday lives. Likewise fall accidents are one of the primary sources of passing’s because of cracks brought about by clash with the ground or hard obstructions. The failure to see objects around oneself is the most tragic things that could happen to an individual. This likewise annihilates the capacity of the individual to move around without anyone else in known regions and conditions. Over the range of the last decade, a few sorts of gadgets have been intended to help the differently abled individuals to move around in various types of conditions be that as it may, in any case need to have every one of the components for diversely abled individuals or senior’s in one gadget. The current paper is the augmentation of our past work to add to say research with a way for offering help to differently abled or elder’s people. The proposed smart assistive activity recognition device for differently abled people that perceive the movement of environment around them and assist them with living. It likewise recognizes snags and sound on their route to caution them so they don’t get into an accident. The current paper adds to help differently abled individuals or elder’s by permitting them to realize the encompassing objects and safe them from getting into any mishap by fall detection and obstacle detection. Activity discovery is turning into an indispensable piece of numerous portable applications. The proposed system utilizes the procedures of machine learning to make an application that would help the differently abled individuals or elders and give them a freshly discovered expectation for cherishing the lavishness and difficulty of the world, meanwhile effectively explore in it.
{"title":"Machine Learning Based Smart Assistive Device for Differently Abled People-SADDAP","authors":"Jayashree Agarkhed, Lubna Tahreem","doi":"10.1109/ICAECC54045.2022.9716599","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716599","url":null,"abstract":"Recently, Human Activity Recognition (HAR) has turned into an energetic exploration region, particularly because of the spread of electronic gadgets, for example, cell phones, digital watches and camcorders present in our everyday lives. Likewise fall accidents are one of the primary sources of passing’s because of cracks brought about by clash with the ground or hard obstructions. The failure to see objects around oneself is the most tragic things that could happen to an individual. This likewise annihilates the capacity of the individual to move around without anyone else in known regions and conditions. Over the range of the last decade, a few sorts of gadgets have been intended to help the differently abled individuals to move around in various types of conditions be that as it may, in any case need to have every one of the components for diversely abled individuals or senior’s in one gadget. The current paper is the augmentation of our past work to add to say research with a way for offering help to differently abled or elder’s people. The proposed smart assistive activity recognition device for differently abled people that perceive the movement of environment around them and assist them with living. It likewise recognizes snags and sound on their route to caution them so they don’t get into an accident. The current paper adds to help differently abled individuals or elder’s by permitting them to realize the encompassing objects and safe them from getting into any mishap by fall detection and obstacle detection. Activity discovery is turning into an indispensable piece of numerous portable applications. The proposed system utilizes the procedures of machine learning to make an application that would help the differently abled individuals or elders and give them a freshly discovered expectation for cherishing the lavishness and difficulty of the world, meanwhile effectively explore in it.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129549566","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716603
S. M M, P. I. Basarkod
The next generation in the electricity grid develops an Advanced Metering Infrastructure (AMI) with bi-directional communication. The Internet of Things (IoT) supports AMI to collect data from smart meters and identify the energy consumption pattern of consumers. A widely applied IoT routing protocol in AMI is Routing Protocol for Low-Power and Lossy Networks (RPL). The RPL protocol plays a vital role in ensuring a timely and reliable communication service on AMI. However, several factors affect the reliability of RPL in AMI, and those factors are security, delay, and unequal energy consumption between smart meters. To solve such issues, the Random Forest based Intrusion Detection System (IDS) (RFIDS) is designed for AMI. The proposed RF-IDS takes into account the results of offline traffic analysis using RF. However, it is insufficient to improve the RPL reliability since the design of RPL based only on offline traffic analysis does not necessarily mean that the designed protocol does not perform well online. Rather, the proposed IDS exploits an offline evaluation can be a first step to decide a security measure against several routing metrics. After offline traffic analysis, the RF-IDS can perform online traffic analysis to obtain delay and energy-related metrics. The offline traffic analysis process in RF-IDS selects an important feature set of the RPL protocol and improves the performance of RF over AMI. Moreover, the RF-IDS attempts to improve AMI communication reliability using a balanced energy factor and prolong the lifetime of smart meters in AMI. The efficiency of RF-IDS over AMI in terms of security, reliability, and energy is evaluated using the Cooja simulator.
下一代电网将发展具有双向通信的高级计量基础设施(AMI)。物联网(IoT)支持AMI从智能电表收集数据，识别消费者的能源消耗模式。在AMI中广泛应用的物联网路由协议是低功耗和有损网络路由协议(RPL)。RPL协议在保证AMI通信服务的及时可靠方面起着至关重要的作用。然而，影响AMI中RPL可靠性的因素主要有安全性、时延和智能电表间能耗不均匀等。为解决这一问题，设计了基于随机森林的AMI入侵检测系统。提出的RF- ids考虑了使用RF进行离线流量分析的结果。然而，仅仅基于离线流量分析来设计RPL并不一定意味着设计的协议不能很好地在线运行，因此提高RPL的可靠性是不够的。相反，建议的IDS利用离线评估可以作为针对几个路由指标确定安全措施的第一步。完成离线流量分析后，可以进行在线流量分析，获取时延、能耗等相关指标。RF- ids中的离线流量分析过程选择了RPL协议的重要特征集，提高了RF over AMI的性能。此外，RF-IDS试图通过平衡能量因子来提高AMI通信可靠性，并延长AMI智能电表的使用寿命。使用Cooja模拟器评估RF-IDS在安全性、可靠性和能源方面优于AMI的效率。
{"title":"Random Forest based Intrusion Detection System for AMI","authors":"S. M M, P. I. Basarkod","doi":"10.1109/ICAECC54045.2022.9716603","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716603","url":null,"abstract":"The next generation in the electricity grid develops an Advanced Metering Infrastructure (AMI) with bi-directional communication. The Internet of Things (IoT) supports AMI to collect data from smart meters and identify the energy consumption pattern of consumers. A widely applied IoT routing protocol in AMI is Routing Protocol for Low-Power and Lossy Networks (RPL). The RPL protocol plays a vital role in ensuring a timely and reliable communication service on AMI. However, several factors affect the reliability of RPL in AMI, and those factors are security, delay, and unequal energy consumption between smart meters. To solve such issues, the Random Forest based Intrusion Detection System (IDS) (RFIDS) is designed for AMI. The proposed RF-IDS takes into account the results of offline traffic analysis using RF. However, it is insufficient to improve the RPL reliability since the design of RPL based only on offline traffic analysis does not necessarily mean that the designed protocol does not perform well online. Rather, the proposed IDS exploits an offline evaluation can be a first step to decide a security measure against several routing metrics. After offline traffic analysis, the RF-IDS can perform online traffic analysis to obtain delay and energy-related metrics. The offline traffic analysis process in RF-IDS selects an important feature set of the RPL protocol and improves the performance of RF over AMI. Moreover, the RF-IDS attempts to improve AMI communication reliability using a balanced energy factor and prolong the lifetime of smart meters in AMI. The efficiency of RF-IDS over AMI in terms of security, reliability, and energy is evaluated using the Cooja simulator.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128267837","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716708
T. G. Manjunath, R. Murthy, B. Praveen
The brain is an incredible and composite organ, and various individuals are captivated by the brain. Human- Human Interface (HHI) is todays trend to control the person free will against the brain signal of other person. HHI defines the human interfacing which is unintended and intermediated by extensive variety of technologies and devices. This paper highlights the development of an appropriate behavior based control of human-human interactions. The EMG sensors used for evaluating the electrical movement produced by skeletal muscles to see muscle state. This paper also discusses the implementation of controlled robotic arm by means of EMG signals acquired from the right forearm and further demonstrated human-human interaction(HHI) i.e, the control of alternative one arm against their liberty using electrical signals which are produced by muscles. The test was carried out with contracted position of the human arm and Robotic arm and also human-human arm by interfacing with ARDINUO IDE. The intensity of electrical signals of muscles was measured using MATLAB/Simulink.
{"title":"Implementation of human –human interface for real time applications","authors":"T. G. Manjunath, R. Murthy, B. Praveen","doi":"10.1109/ICAECC54045.2022.9716708","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716708","url":null,"abstract":"The brain is an incredible and composite organ, and various individuals are captivated by the brain. Human- Human Interface (HHI) is todays trend to control the person free will against the brain signal of other person. HHI defines the human interfacing which is unintended and intermediated by extensive variety of technologies and devices. This paper highlights the development of an appropriate behavior based control of human-human interactions. The EMG sensors used for evaluating the electrical movement produced by skeletal muscles to see muscle state. This paper also discusses the implementation of controlled robotic arm by means of EMG signals acquired from the right forearm and further demonstrated human-human interaction(HHI) i.e, the control of alternative one arm against their liberty using electrical signals which are produced by muscles. The test was carried out with contracted position of the human arm and Robotic arm and also human-human arm by interfacing with ARDINUO IDE. The intensity of electrical signals of muscles was measured using MATLAB/Simulink.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124104217","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716632
Koduru Suresh, S. Vadlamudi
Enterprises exchange huge volumes of consumer and employee data across several business functions and diversified system landscapes in their day-to-day business. Data is the driving force to make more meaningful and informed decisions and it is the backbone for all kinds of innovations maximizing the profitability of the organizations. With rapid digitization, there is exponential growth in the amount of data collected and exchanged. Hence the paradigm shift had intensified the perplexities of issues around data privacy leading to growing concerns about exchanging data securely. In this paper, a novel model is proposed to handle secure data exchanges intelligently using partial homomorphic encryption with machine learning algorithms such as Linear regression and Bayesian ridge by ensuring the integrity and confidentiality of data fulfilling privacy principles. Later a use case is considered to evaluate the proposed methodology and performance evaluation is carried out between linear regression and Bayes theorem after applying partial homomorphic encryption.
{"title":"Intelligent Data Transfer To Ensure Data Privacy In Large Enterprises","authors":"Koduru Suresh, S. Vadlamudi","doi":"10.1109/ICAECC54045.2022.9716632","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716632","url":null,"abstract":"Enterprises exchange huge volumes of consumer and employee data across several business functions and diversified system landscapes in their day-to-day business. Data is the driving force to make more meaningful and informed decisions and it is the backbone for all kinds of innovations maximizing the profitability of the organizations. With rapid digitization, there is exponential growth in the amount of data collected and exchanged. Hence the paradigm shift had intensified the perplexities of issues around data privacy leading to growing concerns about exchanging data securely. In this paper, a novel model is proposed to handle secure data exchanges intelligently using partial homomorphic encryption with machine learning algorithms such as Linear regression and Bayesian ridge by ensuring the integrity and confidentiality of data fulfilling privacy principles. Later a use case is considered to evaluate the proposed methodology and performance evaluation is carried out between linear regression and Bayes theorem after applying partial homomorphic encryption.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126511211","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716588
P. Sharanappa, M. Kakkasageri
The use of wireless sensor technology in various Internet of Things (IoT) applications is growing rapidly. With the exponential increase of smart devices and their applications, collecting and analysing data is gradually becoming one of the most difficult tasks. As sensor nodes are battery powered, energy efficiency is essential. To that intention, before passing the data to the base station, a sensor node should reduce redundancy in the data received from neighbour nodes. There will be some redundancy in the data because different sensor nodes typically notice the same phenomenon. Data aggregation is one of the most important approaches for eliminating data redundancy and improving energy efficiency, as well as extending the life time of wireless sensor networks. Furthermore, the effective data aggregation technique might help to reduce network traffic. In this article we have proposed cluster based data aggregation using intelligent agents.
{"title":"Intelligent Agents Assisted Information Aggregation in Internet of Things","authors":"P. Sharanappa, M. Kakkasageri","doi":"10.1109/ICAECC54045.2022.9716588","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716588","url":null,"abstract":"The use of wireless sensor technology in various Internet of Things (IoT) applications is growing rapidly. With the exponential increase of smart devices and their applications, collecting and analysing data is gradually becoming one of the most difficult tasks. As sensor nodes are battery powered, energy efficiency is essential. To that intention, before passing the data to the base station, a sensor node should reduce redundancy in the data received from neighbour nodes. There will be some redundancy in the data because different sensor nodes typically notice the same phenomenon. Data aggregation is one of the most important approaches for eliminating data redundancy and improving energy efficiency, as well as extending the life time of wireless sensor networks. Furthermore, the effective data aggregation technique might help to reduce network traffic. In this article we have proposed cluster based data aggregation using intelligent agents.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115855435","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716666
S. Sugumaran, V. Sivasankaran, M.G. Chitra, S. Sivasakthiselvan, P. Jayarajan
The Mobile Ad-hoc Network [MANET] is an emerging trend in wireless networks.MANET provides network service at anytime and everywhere, because they are self-organized Infrastructure less networks. But, route creation from the source to destination and route maintenance up to the end of all packet transmissions are very challenging issues between the nodes due to lack of less centralization unit and dynamic topology. In this work, we have proposed the best optimized route from the various accessible of DSR using Token Economy Management [TEM].This algorithm assigned a token to all nodes based on relative velocity, delay in time, and route cost and energy usage of nodes.Finally the best path optimised by the token’s cumulative value for that particular route.The results are simulated by ns2 tools and compared to other well-known token schemes.The TEM result indicates that the token system selection enhanced the velocity, less route cost, less time delay and less energy utilization in the network.
{"title":"Best Optimized Route in MANET using Token Economy Management System","authors":"S. Sugumaran, V. Sivasankaran, M.G. Chitra, S. Sivasakthiselvan, P. Jayarajan","doi":"10.1109/ICAECC54045.2022.9716666","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716666","url":null,"abstract":"The Mobile Ad-hoc Network [MANET] is an emerging trend in wireless networks.MANET provides network service at anytime and everywhere, because they are self-organized Infrastructure less networks. But, route creation from the source to destination and route maintenance up to the end of all packet transmissions are very challenging issues between the nodes due to lack of less centralization unit and dynamic topology. In this work, we have proposed the best optimized route from the various accessible of DSR using Token Economy Management [TEM].This algorithm assigned a token to all nodes based on relative velocity, delay in time, and route cost and energy usage of nodes.Finally the best path optimised by the token’s cumulative value for that particular route.The results are simulated by ns2 tools and compared to other well-known token schemes.The TEM result indicates that the token system selection enhanced the velocity, less route cost, less time delay and less energy utilization in the network.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130228763","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 : 2022-01-10DOI: 10.1109/ICAECC54045.2022.9716679
H. Girish, T. G. Manjunat, A. C. Vikramathithan
One significant issue that every country confronting today is passing and wounds because of street mishaps. The human-creature crash is one of the significant explanations for some lethal mishaps. There are road-accidents happening like clockwork all throughout the planet. This paper proposes a system to detect animals and alert vehicles to decrease thruway mishaps of animals. Using IOT, a detection and alert system is proposed. This alert system further produces signals in such a way to alert the drivers in the highway if the detection is triggered. IoT plays a major role along with Pi module to detect the animals and alert the vehicles. Sensors are used to detect the obstacle which activates Pi Camera configured by Raspberry Pi to capture the live images or video and movements of animals with help of image detection then alert the people and vehicles in the forest highways. An indication with a light at particular distance during night time is also incorporated. Thus, the paper aim is to secure animals from accidents and save many lives from danger. YOLO (You just look once) algorithm is proposed which assists with handling 45 frames each second and takes the entire picture to anticipate the object.
{"title":"Detection and Alerting Animals in Forest using Artificial Intelligence and IoT","authors":"H. Girish, T. G. Manjunat, A. C. Vikramathithan","doi":"10.1109/ICAECC54045.2022.9716679","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716679","url":null,"abstract":"One significant issue that every country confronting today is passing and wounds because of street mishaps. The human-creature crash is one of the significant explanations for some lethal mishaps. There are road-accidents happening like clockwork all throughout the planet. This paper proposes a system to detect animals and alert vehicles to decrease thruway mishaps of animals. Using IOT, a detection and alert system is proposed. This alert system further produces signals in such a way to alert the drivers in the highway if the detection is triggered. IoT plays a major role along with Pi module to detect the animals and alert the vehicles. Sensors are used to detect the obstacle which activates Pi Camera configured by Raspberry Pi to capture the live images or video and movements of animals with help of image detection then alert the people and vehicles in the forest highways. An indication with a light at particular distance during night time is also incorporated. Thus, the paper aim is to secure animals from accidents and save many lives from danger. YOLO (You just look once) algorithm is proposed which assists with handling 45 frames each second and takes the entire picture to anticipate the object.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124183711","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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