Search Results - "Nagar, Jaiprakash"

WSN Strategies Based on Sensors, Deployment, Sensing Models, Coverage and Energy Efficiency: Review, Approaches and Open Issues by Amutha, J., Sharma, Sandeep, Nagar, Jaiprakash

“…Wireless sensor networks (WSNs) are growing rapidly in various fields of commerce, medicine, industrial, agriculture, research, meteorology, etc. that eases…”
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Intrusion Detection in Mobile Sensor Networks: A Case Study for Different Intrusion Paths by Sharma, Sandeep, Nagar, Jaiprakash

“…Intrusion detection is a very sensitive and major concern in wireless sensor networks. In border areas, sensors are installed to discover the presence of…”
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A Distributed Border Surveillance (DBS) System for Rectangular and Circular Region of Interest with Wireless Sensor Networks in Shadowed Environments by Amutha, J., Nagar, Jaiprakash, Sharma, Sandeep

“…Border surveillance is indeed one of the most pertinent applications of wireless sensor networks, primarily used for security purposes such as intrusion…”
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AutoML-ID: automated machine learning model for intrusion detection using wireless sensor network by Singh, Abhilash, Amutha, J., Nagar, Jaiprakash, Sharma, Sandeep, Lee, Cheng-Chi

“…Momentous increase in the popularity of explainable machine learning models coupled with the dramatic increase in the use of synthetic data facilitates us to…”
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ECS-NL: An Enhanced Cuckoo Search Algorithm for Node Localisation in Wireless Sensor Networks by Kotiyal, Vaibhav, Singh, Abhilash, Sharma, Sandeep, Nagar, Jaiprakash, Lee, Cheng-Chi

“…Node localisation plays a critical role in setting up Wireless Sensor Networks (WSNs). A sensor in WSNs senses, processes and transmits the sensed information…”
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LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the k -Barriers for Intrusion Detection Using Wireless Sensor Network by Singh, Abhilash, Amutha, J, Nagar, Jaiprakash, Sharma, Sandeep, Lee, Cheng-Chi

“…The dramatic increase in the computational facilities integrated with the explainable machine learning algorithms allows us to do fast intrusion detection and…”
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A Machine Learning Approach to Predict the Average Localization Error With Applications to Wireless Sensor Networks by Singh, Abhilash, Kotiyal, Vaibhav, Sharma, Sandeep, Nagar, Jaiprakash, Lee, Cheng-Chi

“…Node localisation is one of the significant concerns in Wireless Sensor Networks (WSNs). It is a process in which we estimate the coordinates of the unknown…”
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A Gaussian process regression approach to predict the k-barrier coverage probability for intrusion detection in wireless sensor networks by Singh, Abhilash, Nagar, Jaiprakash, Sharma, Sandeep, Kotiyal, Vaibhav

“…[Display omitted] •Proposed three methods based on GPR to predict the k barrier coverage probability.•An experimental study to assess the performance of the…”
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A deep learning approach to predict the number of k -barriers for intrusion detection over a circular region using wireless sensor networks by Singh, Abhilash, Amutha, J., Nagar, Jaiprakash, Sharma, Sandeep

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A machine learning approach to predict the k-coverage probability of wireless multihop networks considering boundary and shadowing effects by Nagar, Jaiprakash, Chaturvedi, Sanjay Kumar, Soh, Sieteng, Singh, Abhilash

“…Network coverage is a pivotal performance metric of wireless multihop networks (WMNs) determining the quality of service rendered by the network. Earlier, a…”
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F-TLBO-ID: Fuzzy fed teaching learning based optimisation algorithm to predict the number of k-barriers for intrusion detection by Singh, Abhilash, Mousavi, Seyed Muhammad Hossein, Nagar, Jaiprakash

“…Ensuring fast and efficient Intrusion Detection and Prevention (IDP) at international borders is crucial for maintaining security and safeguarding nations. In…”
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P2CA-GAM-ID: Coupling of probabilistic principal components analysis with generalised additive model to predict the k−barriers for intrusion detection by Singh, Abhilash, Nagar, Jaiprakash, Amutha, J., Sharma, Sandeep

“…Drastic advancement in computing technology and the dramatic increase in the usage of explainable machine learning algorithms provide a promising platform for…”
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P 2 CA-GAM-ID: Coupling of probabilistic principal components analysis with generalised additive model to predict the k − barriers for intrusion detection by Singh, Abhilash, Nagar, Jaiprakash, Amutha, J., Sharma, Sandeep

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An analytical framework with border effects to estimate the connectivity performance of finite multihop networks in shadowing environments by Nagar, Jaiprakash, Chaturvedi, Sanjay Kumar, Soh, Sieteng

“…Connectivity is one of the critical performance parameters of wireless multihop networks (WMNs) explored in detail for the last few years. The assumption, a…”
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Wireless Multihop Network Coverage Incorporating Boundary and Shadowing Effects by Nagar, Jaiprakash, Chaturvedi, Sanjay Kumar, Soh, Sieteng

“…The performance of wireless multihop networks (WSNs) deployed in a finite region is affected by environmental phenomena such as shadowing and boundary effects…”
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An analytical model to estimate the performance metrics of a finite multihop network deployed in a rectangular region by Nagar, Jaiprakash, Chaturvedi, S.K., Soh, Sieteng

“…This paper presents a generalized analytical model to estimate the commonly employed network performance metrics, viz., node isolation probability, minimum…”
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A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks by Singh, Abhilash, Amutha, J, Nagar, Jaiprakash, Sharma, Sandeep

“…Expert Systems with Applications, Available online 19 August 2022, 118588 Wireless Sensor Networks (WSNs) is a promising technology with enormous applications…”
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Modeling and performance analysis of wireless channel by Sharma, Sandeep, Nagar, Jaiprakash, Singh, Poonam

“…Men is a social animal and he needs to communicate to the people around him. There is a great demand of information sharing which uses wired and wireless…”
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