Pub Date : 2023-02-18DOI: 10.52783/cienceng.v11i1.321
Shaik Mohammad Rasool et al.
The soldiers working in harsh weather conditions are better protected by solar-powered E-Uniforms. The E-internal uniform's electronics is powered by solar panels. 12 V DC lead acid battery, Energy is stored using a rechargeable battery. Additionally, we use a typical battery charging machine to deliver power to the circuits. The ESP32 microcontroller, which manages every function, is the brains of the circuit. In order to display the voltage generated by the battery on a 16X2 LCD, a voltage sampler is interfaced with the system using an ADC inbuilt in the ESP32.Both a summer and a winter operating mode is used for the project. Control operations through advance ICs so that it can drive the body heater/cooler by choosing the mode of operation. To enable the soldier adapt to any type of external climate, we will use the heater or cooler to deliver a warming or cooling effect within the uniform.The metal sensor will alert the soldier with a buzzer indication if it finds a metal-like explosive. The microcontroller and IOT are interfaced, and the GPS is also interfaced, allowing for the tracking of the entire soldier. Additionally, the location is messaged to the department or person of interest. The soldier will be able to work in any area thanks to this uniform.
{"title":"IoT Based Solar E-Uniform for Soldiers","authors":"Shaik Mohammad Rasool et al.","doi":"10.52783/cienceng.v11i1.321","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.321","url":null,"abstract":"The soldiers working in harsh weather conditions are better protected by solar-powered E-Uniforms. The E-internal uniform's electronics is powered by solar panels. 12 V DC lead acid battery, Energy is stored using a rechargeable battery. Additionally, we use a typical battery charging machine to deliver power to the circuits. The ESP32 microcontroller, which manages every function, is the brains of the circuit. In order to display the voltage generated by the battery on a 16X2 LCD, a voltage sampler is interfaced with the system using an ADC inbuilt in the ESP32.Both a summer and a winter operating mode is used for the project. Control operations through advance ICs so that it can drive the body heater/cooler by choosing the mode of operation. To enable the soldier adapt to any type of external climate, we will use the heater or cooler to deliver a warming or cooling effect within the uniform.The metal sensor will alert the soldier with a buzzer indication if it finds a metal-like explosive. The microcontroller and IOT are interfaced, and the GPS is also interfaced, allowing for the tracking of the entire soldier. Additionally, the location is messaged to the department or person of interest. The soldier will be able to work in any area thanks to this uniform.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128985484","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.297
Nagendran, Sugan Raj, Mohamed Anaz
Today, finding drowsy drivers is perhaps the most important step in stopping any traffic accident, everywhere in the globe. The objective of this study was to develop a smart alert approach for intelligent vehicles that can prevent drowsy driving impairment automatically. But being sleepy is a natural bodily occurrence that might occur for a variety of reasons. Therefore, it is necessary to create a reliable alert system to prevent the accident's cause. In this proposed research, we discuss a method for developing a drowsy driver alert system that analyses video stream processing (VSP) utilizing the eye blink concept employing the eye aspect ratio (EAR) and Euclidean distance of the eye. The face landmark algorithm is also employed as a reliable method for detecting eyes. The IoT module sends a warning message together with collision impact and location information when the driver's weariness is recognized, alerting with the help of a voice speaking over the Raspberry Pi monitoring system.
{"title":"Dangerous Driving Detection Based on IoT","authors":"Nagendran, Sugan Raj, Mohamed Anaz","doi":"10.52783/cienceng.v11i1.297","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.297","url":null,"abstract":"Today, finding drowsy drivers is perhaps the most important step in stopping any traffic accident, everywhere in the globe. The objective of this study was to develop a smart alert approach for intelligent vehicles that can prevent drowsy driving impairment automatically. But being sleepy is a natural bodily occurrence that might occur for a variety of reasons. Therefore, it is necessary to create a reliable alert system to prevent the accident's cause. In this proposed research, we discuss a method for developing a drowsy driver alert system that analyses video stream processing (VSP) utilizing the eye blink concept employing the eye aspect ratio (EAR) and Euclidean distance of the eye. The face landmark algorithm is also employed as a reliable method for detecting eyes. The IoT module sends a warning message together with collision impact and location information when the driver's weariness is recognized, alerting with the help of a voice speaking over the Raspberry Pi monitoring system.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123632747","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.248
Charu Sharma et al.
A valid measurement for Corona virus disease is needed for case definition and adopting appropriate therapeutic measures. Identification of epidemiology and etio-pathogenesis is must for case definitions. The incubation period The incubation period is the time elapsed between pathogen exposure and appearance of symptoms. It can be utilized to trace the contact history of population at high risk. Incubation, latent and generation periods may help both in understanding transmission and developing therapeutic measures. The evidenced incubation period of covid-19 infection is found to be 5.6-6.7 days. Ayurveda advocates Shatkriyakala pathognomic model i.e. six stage model of disease progression. Aims and Objective: The present study focused to trace –pathological model in context of covid-19. Material and method: This study was conducted in Government ayurvedic institute, COVID testing centre, New Delhi. The tool of data collection was Questionnaire 1 &2. Result:We report a temporal pattern of COVID-19 pathology which corresponds to six-stages of disease progression.(shadvidh kriyakala). Discussion: Assessment of relationship between the variables (Hetu-dosha and Dushya) responsible for pathogenesis temporal dynamics of covid-19 may serve as an instrument for mapping the pathogenesis. Conclusion: Clinical staging of covid-19 can be potentially mapped by six stage classical pathological model.
{"title":"The Mean Duration of COVID-19 Found Closely Associated with the Ayurvedic Pathognomic Model Shatkriyakala (SKK): Inference of an Observational Cross-Sectional Exploratory Study","authors":"Charu Sharma et al.","doi":"10.52783/cienceng.v11i1.248","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.248","url":null,"abstract":"A valid measurement for Corona virus disease is needed for case definition and adopting appropriate therapeutic measures. Identification of epidemiology and etio-pathogenesis is must for case definitions. The incubation period The incubation period is the time elapsed between pathogen exposure and appearance of symptoms. It can be utilized to trace the contact history of population at high risk. Incubation, latent and generation periods may help both in understanding transmission and developing therapeutic measures. The evidenced incubation period of covid-19 infection is found to be 5.6-6.7 days. Ayurveda advocates Shatkriyakala pathognomic model i.e. six stage model of disease progression. Aims and Objective: The present study focused to trace –pathological model in context of covid-19. Material and method: This study was conducted in Government ayurvedic institute, COVID testing centre, New Delhi. The tool of data collection was Questionnaire 1 &2. Result:We report a temporal pattern of COVID-19 pathology which corresponds to six-stages of disease progression.(shadvidh kriyakala). \u0000Discussion: Assessment of relationship between the variables (Hetu-dosha and Dushya) responsible for pathogenesis temporal dynamics of covid-19 may serve as an instrument for mapping the pathogenesis. \u0000Conclusion: Clinical staging of covid-19 can be potentially mapped by six stage classical pathological model.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114116695","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.210
Preety Tak
In a variety of application fields, including image classification, recognition of speech, and machine interpretation, machine learning (ML) and artificial intelligence (AI) have attained human-level performance. Nonetheless, master based credit risk models keep on administering in the monetary business. To continuously present new strategies, it is important to lay out significant benchmarks and correlations on AI approaches and human master based models. The progressions in banking and chance administration, as well as the present and future issues, have been the subject of much exploration in both scholarly community and business. Through an examination of the current writing, this paper expects to distinguish regions or issues in risk the board that poor person been adequately investigated and might be great contender for additional exploration. It additionally examinations and assesses AI methods that have been explored with regards to banking risk the executives. The comparison's main results showed that machine-learning models outperformed traditional methods. The neural networks also demonstrated excellent results when compared to other methods of machine-learning (ML) in relations of AUC and precission/ accuracy.
{"title":"A Critical Investigation in Assessing the Main Metrics of Using Machine Learning Approaches for Bank Risk Management in the Current Era","authors":"Preety Tak","doi":"10.52783/cienceng.v11i1.210","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.210","url":null,"abstract":"In a variety of application fields, including image classification, recognition of speech, and machine interpretation, machine learning (ML) and artificial intelligence (AI) have attained human-level performance. Nonetheless, master based credit risk models keep on administering in the monetary business. To continuously present new strategies, it is important to lay out significant benchmarks and correlations on AI approaches and human master based models. The progressions in banking and chance administration, as well as the present and future issues, have been the subject of much exploration in both scholarly community and business. Through an examination of the current writing, this paper expects to distinguish regions or issues in risk the board that poor person been adequately investigated and might be great contender for additional exploration. It additionally examinations and assesses AI methods that have been explored with regards to banking risk the executives. The comparison's main results showed that machine-learning models outperformed traditional methods. The neural networks also demonstrated excellent results when compared to other methods of machine-learning (ML) in relations of AUC and precission/ accuracy.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116334910","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.124
Swati Salunkhe, D. Gaikwad, Poonam Humbe, Shubham Kale, Sakshi, Lokhande
Chronic kidney disease (CKD) and chronic renal disease (CRD) (CKD). Chronic renal disease refers to illnesses that affect your kidneys and reduce their ability to keep you healthy. Consequences include nerve damage, high blood pressure, anaemia, weak bones, and a lack of nourishment. Early detection and treatment can frequently stop chronic renal disease from getting worse. Data mining is the technique of obtaining knowledge from huge datasets. Utilizing previous data to find trends and guide decisions going forward is the aim of data mining. This task is the result of the convergence of a number of recent trends, including the declining cost of large data storage devices, the increasing simplicity of data collection over networks, the expansion of dependable and efficient machine learning algorithms, and the declining cost of computational power, which enables the use of computationally intensive techniques for decision-making. Machine learning has already produced useful applications in fields like assessing results from medical research, spotting fraud, spotting bogus users, etc.For the purpose of predicting chronic diseases, various data mining categorization methodologies and machine learning algorithms are used. The goal of this study is to develop a new decision-support system for forecasting chronic renal disease. This study compares the accuracy, precision, and execution time of Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) classifiers for the prediction of CKD.
{"title":"Chronic Kidney Diseases Detection Using machine Learning","authors":"Swati Salunkhe, D. Gaikwad, Poonam Humbe, Shubham Kale, Sakshi, Lokhande","doi":"10.52783/cienceng.v11i1.124","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.124","url":null,"abstract":"Chronic kidney disease (CKD) and chronic renal disease (CRD) (CKD). Chronic renal disease refers to illnesses that affect your kidneys and reduce their ability to keep you healthy. Consequences include nerve damage, high blood pressure, anaemia, weak bones, and a lack of nourishment. Early detection and treatment can frequently stop chronic renal disease from getting worse. Data mining is the technique of obtaining knowledge from huge datasets. Utilizing previous data to find trends and guide decisions going forward is the aim of data mining. This task is the result of the convergence of a number of recent trends, including the declining cost of large data storage devices, the increasing simplicity of data collection over networks, the expansion of dependable and efficient machine learning algorithms, and the declining cost of computational power, which enables the use of computationally intensive techniques for decision-making. Machine learning has already produced useful applications in fields like assessing results from medical research, spotting fraud, spotting bogus users, etc.For the purpose of predicting chronic diseases, various data mining categorization methodologies and machine learning algorithms are used. The goal of this study is to develop a new decision-support system for forecasting chronic renal disease. This study compares the accuracy, precision, and execution time of Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) classifiers for the prediction of CKD.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126531521","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.283
Jagadeesh, S. Dhanush, Vinethra, Siva Kumar
Regardless of whether they are present at the moment, people need to know who is visiting their organizations regularly. For those who experience a disability that prohibits them from meeting the visitor, this need is much more pressing. This paper suggests a smart doorbell that performs the function of a doorbell to address this issue. It should identify the visitor and notify the user. This proposal includes technology for visitor facial recognition, user alerting, and reaction management to do. The entire procedure, including visitor recognition, user notification, related management challenges, interconnected stages, and standardization concerns, is covered later. Finally, three scenarios were combined to test the model's efficacy. Each scenario was made up of several organizations, and an analysis of the recognition of known and unknown individuals was conducted across each scenario.
{"title":"Smart Wi-Fi Doorbell Using Esp32cam with IoT","authors":"Jagadeesh, S. Dhanush, Vinethra, Siva Kumar","doi":"10.52783/cienceng.v11i1.283","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.283","url":null,"abstract":"Regardless of whether they are present at the moment, people need to know who is visiting their organizations regularly. For those who experience a disability that prohibits them from meeting the visitor, this need is much more pressing. This paper suggests a smart doorbell that performs the function of a doorbell to address this issue. It should identify the visitor and notify the user. This proposal includes technology for visitor facial recognition, user alerting, and reaction management to do. The entire procedure, including visitor recognition, user notification, related management challenges, interconnected stages, and standardization concerns, is covered later. Finally, three scenarios were combined to test the model's efficacy. Each scenario was made up of several organizations, and an analysis of the recognition of known and unknown individuals was conducted across each scenario.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128093459","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.209
M. Maheswari, S. Dhanalakshmi, N. Durgadevi
The objective of this paper is to study some more properties of Micro SP-continuous in Micro SP-topological spaces. Also we define and analyze Micro SP-homeomorphism in terms of Strongly Micro-continuous and Strongly Micro SP-open map.
{"title":"Some More Properties of Micro SP-Continuous using Micro SP-open Sets.","authors":"M. Maheswari, S. Dhanalakshmi, N. Durgadevi","doi":"10.52783/cienceng.v11i1.209","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.209","url":null,"abstract":"The objective of this paper is to study some more properties of Micro SP-continuous in Micro SP-topological spaces. Also we define and analyze Micro SP-homeomorphism in terms of Strongly Micro-continuous and Strongly Micro SP-open map.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121966299","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.343
Dilshad Akhtar, M. R. Hassan, Neda Fatma
The implementation of the multiplicative inverses of elemental polynomials under an irreducible polynomial over GF(pn) played an important role in cryptography. In the AES algorithm, the multiplicative inverses under the first irreducible polynomial over GF(28) have been used for the first time in 1999 to design its substitution box. The new PRNG RC4-MI in which the multiplicative inverses under the two irreducible polynomials over GF(73) are being used accepts the AES key as its own key and generates random bytes. Undertaking exclusive OR operation of RC4-MI bytes with AES cipher bytes, one gets a new sequence of cipher bytes thatexhibits randomness quantitatively better than that of the original sequence of AES cipher bytes.
{"title":"Incorporating a New Pseudorandom Number Generator in AES Algorithm to Improve Its Security Level","authors":"Dilshad Akhtar, M. R. Hassan, Neda Fatma","doi":"10.52783/cienceng.v11i1.343","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.343","url":null,"abstract":"The implementation of the multiplicative inverses of elemental polynomials under an irreducible polynomial over GF(pn) played an important role in cryptography. In the AES algorithm, the multiplicative inverses under the first irreducible polynomial over GF(28) have been used for the first time in 1999 to design its substitution box. The new PRNG RC4-MI in which the multiplicative inverses under the two irreducible polynomials over GF(73) are being used accepts the AES key as its own key and generates random bytes. Undertaking exclusive OR operation of RC4-MI bytes with AES cipher bytes, one gets a new sequence of cipher bytes thatexhibits randomness quantitatively better than that of the original sequence of AES cipher bytes.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132500615","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.228
A. R. Bansod, R. S. Tatwawadi
Applying mathematical models to obtain optimal solution for water transmission system has been of major concern during the last few decades for optimal utilization of public fund which is limited. Optimization problem for water transmission system is considered as a non-linear problem during the search process to identify the decision variables.In this paper, flow path algorithm coupled with dynamic programming has been adopted to obtain the optimal design of the multi reservoirwater transmission system.
{"title":"Optimal Design of Two Junction Four Reservoir Water Transmission System","authors":"A. R. Bansod, R. S. Tatwawadi","doi":"10.52783/cienceng.v11i1.228","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.228","url":null,"abstract":"Applying mathematical models to obtain optimal solution for water transmission system has been of major concern during the last few decades for optimal utilization of public fund which is limited. Optimization problem for water transmission system is considered as a non-linear problem during the search process to identify the decision variables.In this paper, flow path algorithm coupled with dynamic programming has been adopted to obtain the optimal design of the multi reservoirwater transmission system.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134542035","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.355
Afsha Nishat, Mohd. Abdul Bari, Guddi Singh
a wireless peer-to-peer network with a mobile component adaptability and self-formation characteristics that lacks infrastructure. The network is ideal for use in emergency and disaster assistance applications that need reliable communication.. Finding the channel between communicative entities and sending information across it enables communication. There are several routing protocols in the literature that are developed to achieve reliable communication. Routing protocols are susceptible to packet losses because they consider network nodes to be receptive to communication. Due to malicious behavior or a shortage of resources, nodes trash packets. To address the problem, a number of intrusion detection systems have been suggested in the literature. In order to prevent packet losses in MANET, the newly created counter-based digested Acknowledgement (CDACK) was developed. This study's objective is to assess the CDACK protocol's performance in relation to current MANET intrusion detection systems. The findings demonstrate that, in terms of avoiding packet dropping nodes from the routing path, the CDACK protocol is a good fit for MANET..
{"title":"Review of Counter-Based Digester ACK's Effectiveness in MANET Packet Loss Prevention","authors":"Afsha Nishat, Mohd. Abdul Bari, Guddi Singh","doi":"10.52783/cienceng.v11i1.355","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.355","url":null,"abstract":"a wireless peer-to-peer network with a mobile component adaptability and self-formation characteristics that lacks infrastructure. The network is ideal for use in emergency and disaster assistance applications that need reliable communication.. Finding the channel between communicative entities and sending information across it enables communication. There are several routing protocols in the literature that are developed to achieve reliable communication. Routing protocols are susceptible to packet losses because they consider network nodes to be receptive to communication. Due to malicious behavior or a shortage of resources, nodes trash packets. To address the problem, a number of intrusion detection systems have been suggested in the literature. In order to prevent packet losses in MANET, the newly created counter-based digested Acknowledgement (CDACK) was developed. This study's objective is to assess the CDACK protocol's performance in relation to current MANET intrusion detection systems. The findings demonstrate that, in terms of avoiding packet dropping nodes from the routing path, the CDACK protocol is a good fit for MANET.. \u0000 ","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"87 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131844676","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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