International journal for research in applied science and engineering technology, May 31, 2024
This paper delineates the design, architecture, and implementation of a Wireless Sensor Network (... more This paper delineates the design, architecture, and implementation of a Wireless Sensor Network (WSN) tailored for smart education environments. As educational institutions increasingly integrate technology to enhance pedagogical practices and operational efficiency, the deployment of WSNs presents substantial advantages. The study initiates with an examination of fundamental design considerations, encompassing energy efficiency, scalability, data security, and user experience. It proposes a comprehensive architecture that includes sensor nodes, communication protocols, network topology, base stations, and cloud integration to facilitate effective data collection and processing. Key implementation strategies are detailed, including sensor node deployment, communication protocol configuration, cloud server setup, and user training. The paper underscores the suitability of routing protocols such as LEACH, AODV, and Directed Diffusion for educational applications, highlighting their efficacy in achieving energy-efficient and reliable data transmission. This research elucidates the potential of WSNs to foster interactive, adaptive, and resource-optimized educational environments, providing valuable insights into their practical deployment and benefits in contemporary educational settings.
The rapid advancement of digital technology and the increasing interconnection of systems has res... more The rapid advancement of digital technology and the increasing interconnection of systems has resulted in a complex network of digital activities. In this scene, examining organization traffic stream has arisen as a vital device in computerized criminology. This paper dives into the “Network Traffic Flow Analysis in the Field of Digital Forensics and Cybersecurity: Revealing Patterns and Deviations” domain. The objective of the study is to investigate the way in which traffic stream examination fills in as a strong procedure for unraveling the multifaceted computerized effects left behind by clients, gadgets, and potential danger entertainers. Forensic Data analysts acquire the ability to detect security breaches, data exfiltration, or unauthorized access by closely examining examples of information transmission, source-objective connections, and correspondence conventions within an organization. This analysis allows them to identify both regular patterns and irregular deviations. Methodologies for capturing and recording network packets, the role of flow data in summarizing complex interactions, and the use of intrusion detection systems (IDS) and intrusion prevention systems (IPS) to monitor real-time network activities are all examined in this paper. Also, the review dives into utilizing AI and man-made reasoning methods for prescient investigation and inconsistency identification inside network traffic.
Wireless sensor devices, edge computing, and fog computing can transform education by improving e... more Wireless sensor devices, edge computing, and fog computing can transform education by improving efficiency and empowering institutions. This research paper explores the application of these technologies in educational settings and investigates their benefits, challenges, and potential solutions. Educational institutions can track classroom occupancy, ambient conditions, and student participation using wireless sensor systems. loT edge computing allows data processing and analysis at the network edge for rapid insights and decision-making. Fog computing integrates cloud resources with edge computing to support complicated computations and data storage. Wireless sensor devices, loT edge computing, and fog computing are used to optimize educational processes like resource management, student tracking, personalized learning, and campus security. Data privacy, security, scalability, and interoperability issues are studied and solutions suggested. This research shows how wireless sensor devices, loT edge computing, and fog computing may alter educational systems, helping institutions improve efficiency and empower stakeholders.
2023 IEEE International Conference on Networking, Sensing and Control (ICNSC)
The efficient allocation of resources is critical for improving the performance of data centers i... more The efficient allocation of resources is critical for improving the performance of data centers in cloud environments. It is considered an NP-hard problem. Traditional optimization methods for resource allocation are often inadequate due to their complexity, lack of performance guarantees, and lengthy training times. The Whale Optimization Algorithm (WOA) has recently emerged as a well-accepted alternative for solving constraint optimization problems. This article furthers into the potential of WOA to address resource allocation problems in cloud data centers. To overcome the limitations of WOA and constraints optimization, an adaptive penalty function-based method, namely APFWOA, is proposed to minimize the makespan and execution cost. The APFWOA is evaluated on real and synthetic datasets in a simulated cloud infrastructure environment and compared to other contemporary techniques. The findings of this study indicate that the proposed algorithm surpasses alternative methods in minimizing makespan and execution costs.
In a network setting, a sensor node's round-trip delay time over hostile nodes compromises th... more In a network setting, a sensor node's round-trip delay time over hostile nodes compromises the node's ability to transmit data from the sender node to the destination node. Minimum distance path discovery causes the path failure, since aggressive nodes are available. Node connectivity is poor which should cause the packet loss; it does not control more energy consumption, since packet broadcasting is repeated for many times using that path. So, the proposed intertwine connection-based routing path selection (ICBRPS) technique allows only energy efficient routing path, path connectivity is important, and routing path is damaged because of the presence of aggressive nodes. It hacks the information from sensor and operates unpredictable manner. The objective of this presented ICBRPS scheme is to improve the routing path in efficient manner. If any damages occur during the transmission of data, then the alternate best node connectivity path is created by energetic route discover...
The exponential progress of Internet of Things (IoT) technology has resulted in the emergence of ... more The exponential progress of Internet of Things (IoT) technology has resulted in the emergence of groundbreaking solutions across diverse industries, such as healthcare and quarantine management. In the realm of global health crises, such as the ongoing COVID-19 pandemic, the successful execution of efficient quarantine protocols assumes paramount importance. The objective of this research paper is to examine the potential integration of Internet of Things (IoT) devices, wireless sensors, and blockchain technology in order to establish a Smart Quarantine Environment (SQE). The SQE aims to improve privacy, security, and efficiency in the management of quarantine protocols. By analyzing the existing literature and exploring relevant case studies, this paper seeks to provide insights into the feasibility and benefits of implementing such a system. The utilization of IoT devices and wireless sensors enables the facilitation of real-time monitoring and data collection. This approach is supported by the integration of blockchain technology, which ensures data integrity, transparency, and user control. By addressing concerns related to privacy and security, this combination of technologies enhances the overall effectiveness of the system.
International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2024
This paper delineates the design, architecture, and implementation of a Wireless Sensor Network (... more This paper delineates the design, architecture, and implementation of a Wireless Sensor Network (WSN) tailored for smart education environments. As educational institutions increasingly integrate technology to enhance pedagogical practices
and operational efficiency, the deployment of WSNs presents substantial advantages. The study initiates with an examination of fundamental design considerations, encompassing energy efficiency, scalability, data security, and user experience. It proposes a comprehensive architecture that includes sensor nodes, communication protocols, network topology, base stations, and cloud integration to facilitate effective data collection and processing. Key implementation strategies are detailed, including sensor node deployment, communication protocol configuration, cloud server setup, and user training. The paper underscores the suitability of routing protocols such as LEACH, AODV, and Directed Diffusion for educational applications, highlighting their
efficacy in achieving energy-efficient and reliable data transmission. This research elucidates the potential of WSNs to foster interactive, adaptive, and resource-optimized educational environments, providing valuable insights into their practical
deployment and benefits in contemporary educational settings.
The efficient allocation of resources is critical for improving the performance of data centers i... more The efficient allocation of resources is critical for improving the performance of data centers in cloud environments. It is considered an NP-hard problem. Traditional optimization methods for resource allocation are often inadequate due to their complexity, lack of performance guarantees, and lengthy training times. The Whale Optimization Algorithm (WOA) has recently emerged as a well-accepted alternative for solving constraint optimization problems. This article furthers into the potential of WOA to address resource allocation problems in cloud data centers. To overcome the limitations of WOA and constraints optimization, an adaptive penalty function-based method, namely APFWOA, is proposed to minimize the makespan and execution cost. The APFWOA is evaluated on real and synthetic datasets in a simulated cloud infrastructure environment and compared to other contemporary techniques. The findings of this study indicate that the proposed algorithm surpasses alternative methods in minimizing makespan and execution costs.
The exponential progress of Internet of Things (IoT) technology has resulted in the emergence of ... more The exponential progress of Internet of Things (IoT) technology has resulted in the emergence of groundbreaking solutions across diverse industries, such as healthcare and quarantine management. In the realm of global health crises, such as the ongoing COVID-19 pandemic, the successful execution of efficient quarantine protocols assumes paramount importance. The objective of this research paper is to examine the potential integration of Internet of Things (IoT) devices, wireless sensors, and blockchain technology in order to establish a Smart Quarantine Environment (SQE). The SQE aims to improve privacy, security, and efficiency in the management of quarantine protocols. By analyzing the existing literature and exploring relevant case studies, this paper seeks to provide insights into the feasibility and benefits of implementing such a system. The utilization of IoT devices and wireless sensors enables the facilitation of real-time monitoring and data collection. This approach is supported by the integration of blockchain technology, which ensures data integrity, transparency, and user control. By addressing concerns related to privacy and security, this combination of technologies enhances the overall effectiveness of the system.
The rapid advancement of digital technology and the increasing interconnection of systems has res... more The rapid advancement of digital technology and the increasing interconnection of systems has resulted in a complex network of digital activities. In this scene, examining organization traffic stream has arisen as a vital device in computerized criminology. This paper dives into the “Network Traffic Flow Analysis in the Field of Digital Forensics and Cybersecurity: Revealing Patterns and Deviations” domain. The objective of the study is to investigate the way in which traffic stream examination fills in as a strong procedure for unraveling the multifaceted computerized effects left behind by clients, gadgets, and potential danger entertainers. Forensic Data analysts acquire the ability to detect security breaches, data exfiltration, or unauthorized access by closely examining examples of information transmission, source-objective connections, and correspondence conventions within an organization. This analysis allows them to identify both regular patterns and irregular deviations. Methodologies for capturing and recording network packets, the role of flow data in summarizing complex interactions, and the use of intrusion detection systems (IDS) and intrusion prevention systems (IPS) to monitor real-time network activities are all examined in this paper. Also, the review dives into utilizing AI and man-made reasoning methods for prescient investigation and inconsistency identification inside network traffic.
Wireless sensor devices, edge computing, and fog computing can transform education by improving e... more Wireless sensor devices, edge computing, and fog computing can transform education by improving efficiency and empowering institutions. This research paper explores the application of these technologies in educational settings and investigates their benefits, challenges, and potential solutions. Educational institutions can track classroom occupancy, ambient conditions, and student participation using wireless sensor systems. loT edge computing allows data processing and analysis at the network edge for rapid insights and decision-making. Fog computing integrates cloud resources with edge computing to support complicated computations and data storage. Wireless sensor devices, loT edge computing, and fog computing are used to optimize educational processes like resource management, student tracking, personalized learning, and campus security. Data privacy, security, scalability, and interoperability issues are studied and solutions suggested. This research shows how wireless sensor devices, loT edge computing, and fog computing may alter educational systems, helping institutions improve efficiency and empower stakeholders.
International journal for research in applied science and engineering technology, May 31, 2024
This paper delineates the design, architecture, and implementation of a Wireless Sensor Network (... more This paper delineates the design, architecture, and implementation of a Wireless Sensor Network (WSN) tailored for smart education environments. As educational institutions increasingly integrate technology to enhance pedagogical practices and operational efficiency, the deployment of WSNs presents substantial advantages. The study initiates with an examination of fundamental design considerations, encompassing energy efficiency, scalability, data security, and user experience. It proposes a comprehensive architecture that includes sensor nodes, communication protocols, network topology, base stations, and cloud integration to facilitate effective data collection and processing. Key implementation strategies are detailed, including sensor node deployment, communication protocol configuration, cloud server setup, and user training. The paper underscores the suitability of routing protocols such as LEACH, AODV, and Directed Diffusion for educational applications, highlighting their efficacy in achieving energy-efficient and reliable data transmission. This research elucidates the potential of WSNs to foster interactive, adaptive, and resource-optimized educational environments, providing valuable insights into their practical deployment and benefits in contemporary educational settings.
The rapid advancement of digital technology and the increasing interconnection of systems has res... more The rapid advancement of digital technology and the increasing interconnection of systems has resulted in a complex network of digital activities. In this scene, examining organization traffic stream has arisen as a vital device in computerized criminology. This paper dives into the “Network Traffic Flow Analysis in the Field of Digital Forensics and Cybersecurity: Revealing Patterns and Deviations” domain. The objective of the study is to investigate the way in which traffic stream examination fills in as a strong procedure for unraveling the multifaceted computerized effects left behind by clients, gadgets, and potential danger entertainers. Forensic Data analysts acquire the ability to detect security breaches, data exfiltration, or unauthorized access by closely examining examples of information transmission, source-objective connections, and correspondence conventions within an organization. This analysis allows them to identify both regular patterns and irregular deviations. Methodologies for capturing and recording network packets, the role of flow data in summarizing complex interactions, and the use of intrusion detection systems (IDS) and intrusion prevention systems (IPS) to monitor real-time network activities are all examined in this paper. Also, the review dives into utilizing AI and man-made reasoning methods for prescient investigation and inconsistency identification inside network traffic.
Wireless sensor devices, edge computing, and fog computing can transform education by improving e... more Wireless sensor devices, edge computing, and fog computing can transform education by improving efficiency and empowering institutions. This research paper explores the application of these technologies in educational settings and investigates their benefits, challenges, and potential solutions. Educational institutions can track classroom occupancy, ambient conditions, and student participation using wireless sensor systems. loT edge computing allows data processing and analysis at the network edge for rapid insights and decision-making. Fog computing integrates cloud resources with edge computing to support complicated computations and data storage. Wireless sensor devices, loT edge computing, and fog computing are used to optimize educational processes like resource management, student tracking, personalized learning, and campus security. Data privacy, security, scalability, and interoperability issues are studied and solutions suggested. This research shows how wireless sensor devices, loT edge computing, and fog computing may alter educational systems, helping institutions improve efficiency and empower stakeholders.
2023 IEEE International Conference on Networking, Sensing and Control (ICNSC)
The efficient allocation of resources is critical for improving the performance of data centers i... more The efficient allocation of resources is critical for improving the performance of data centers in cloud environments. It is considered an NP-hard problem. Traditional optimization methods for resource allocation are often inadequate due to their complexity, lack of performance guarantees, and lengthy training times. The Whale Optimization Algorithm (WOA) has recently emerged as a well-accepted alternative for solving constraint optimization problems. This article furthers into the potential of WOA to address resource allocation problems in cloud data centers. To overcome the limitations of WOA and constraints optimization, an adaptive penalty function-based method, namely APFWOA, is proposed to minimize the makespan and execution cost. The APFWOA is evaluated on real and synthetic datasets in a simulated cloud infrastructure environment and compared to other contemporary techniques. The findings of this study indicate that the proposed algorithm surpasses alternative methods in minimizing makespan and execution costs.
In a network setting, a sensor node's round-trip delay time over hostile nodes compromises th... more In a network setting, a sensor node's round-trip delay time over hostile nodes compromises the node's ability to transmit data from the sender node to the destination node. Minimum distance path discovery causes the path failure, since aggressive nodes are available. Node connectivity is poor which should cause the packet loss; it does not control more energy consumption, since packet broadcasting is repeated for many times using that path. So, the proposed intertwine connection-based routing path selection (ICBRPS) technique allows only energy efficient routing path, path connectivity is important, and routing path is damaged because of the presence of aggressive nodes. It hacks the information from sensor and operates unpredictable manner. The objective of this presented ICBRPS scheme is to improve the routing path in efficient manner. If any damages occur during the transmission of data, then the alternate best node connectivity path is created by energetic route discover...
The exponential progress of Internet of Things (IoT) technology has resulted in the emergence of ... more The exponential progress of Internet of Things (IoT) technology has resulted in the emergence of groundbreaking solutions across diverse industries, such as healthcare and quarantine management. In the realm of global health crises, such as the ongoing COVID-19 pandemic, the successful execution of efficient quarantine protocols assumes paramount importance. The objective of this research paper is to examine the potential integration of Internet of Things (IoT) devices, wireless sensors, and blockchain technology in order to establish a Smart Quarantine Environment (SQE). The SQE aims to improve privacy, security, and efficiency in the management of quarantine protocols. By analyzing the existing literature and exploring relevant case studies, this paper seeks to provide insights into the feasibility and benefits of implementing such a system. The utilization of IoT devices and wireless sensors enables the facilitation of real-time monitoring and data collection. This approach is supported by the integration of blockchain technology, which ensures data integrity, transparency, and user control. By addressing concerns related to privacy and security, this combination of technologies enhances the overall effectiveness of the system.
International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2024
This paper delineates the design, architecture, and implementation of a Wireless Sensor Network (... more This paper delineates the design, architecture, and implementation of a Wireless Sensor Network (WSN) tailored for smart education environments. As educational institutions increasingly integrate technology to enhance pedagogical practices
and operational efficiency, the deployment of WSNs presents substantial advantages. The study initiates with an examination of fundamental design considerations, encompassing energy efficiency, scalability, data security, and user experience. It proposes a comprehensive architecture that includes sensor nodes, communication protocols, network topology, base stations, and cloud integration to facilitate effective data collection and processing. Key implementation strategies are detailed, including sensor node deployment, communication protocol configuration, cloud server setup, and user training. The paper underscores the suitability of routing protocols such as LEACH, AODV, and Directed Diffusion for educational applications, highlighting their
efficacy in achieving energy-efficient and reliable data transmission. This research elucidates the potential of WSNs to foster interactive, adaptive, and resource-optimized educational environments, providing valuable insights into their practical
deployment and benefits in contemporary educational settings.
The efficient allocation of resources is critical for improving the performance of data centers i... more The efficient allocation of resources is critical for improving the performance of data centers in cloud environments. It is considered an NP-hard problem. Traditional optimization methods for resource allocation are often inadequate due to their complexity, lack of performance guarantees, and lengthy training times. The Whale Optimization Algorithm (WOA) has recently emerged as a well-accepted alternative for solving constraint optimization problems. This article furthers into the potential of WOA to address resource allocation problems in cloud data centers. To overcome the limitations of WOA and constraints optimization, an adaptive penalty function-based method, namely APFWOA, is proposed to minimize the makespan and execution cost. The APFWOA is evaluated on real and synthetic datasets in a simulated cloud infrastructure environment and compared to other contemporary techniques. The findings of this study indicate that the proposed algorithm surpasses alternative methods in minimizing makespan and execution costs.
The exponential progress of Internet of Things (IoT) technology has resulted in the emergence of ... more The exponential progress of Internet of Things (IoT) technology has resulted in the emergence of groundbreaking solutions across diverse industries, such as healthcare and quarantine management. In the realm of global health crises, such as the ongoing COVID-19 pandemic, the successful execution of efficient quarantine protocols assumes paramount importance. The objective of this research paper is to examine the potential integration of Internet of Things (IoT) devices, wireless sensors, and blockchain technology in order to establish a Smart Quarantine Environment (SQE). The SQE aims to improve privacy, security, and efficiency in the management of quarantine protocols. By analyzing the existing literature and exploring relevant case studies, this paper seeks to provide insights into the feasibility and benefits of implementing such a system. The utilization of IoT devices and wireless sensors enables the facilitation of real-time monitoring and data collection. This approach is supported by the integration of blockchain technology, which ensures data integrity, transparency, and user control. By addressing concerns related to privacy and security, this combination of technologies enhances the overall effectiveness of the system.
The rapid advancement of digital technology and the increasing interconnection of systems has res... more The rapid advancement of digital technology and the increasing interconnection of systems has resulted in a complex network of digital activities. In this scene, examining organization traffic stream has arisen as a vital device in computerized criminology. This paper dives into the “Network Traffic Flow Analysis in the Field of Digital Forensics and Cybersecurity: Revealing Patterns and Deviations” domain. The objective of the study is to investigate the way in which traffic stream examination fills in as a strong procedure for unraveling the multifaceted computerized effects left behind by clients, gadgets, and potential danger entertainers. Forensic Data analysts acquire the ability to detect security breaches, data exfiltration, or unauthorized access by closely examining examples of information transmission, source-objective connections, and correspondence conventions within an organization. This analysis allows them to identify both regular patterns and irregular deviations. Methodologies for capturing and recording network packets, the role of flow data in summarizing complex interactions, and the use of intrusion detection systems (IDS) and intrusion prevention systems (IPS) to monitor real-time network activities are all examined in this paper. Also, the review dives into utilizing AI and man-made reasoning methods for prescient investigation and inconsistency identification inside network traffic.
Wireless sensor devices, edge computing, and fog computing can transform education by improving e... more Wireless sensor devices, edge computing, and fog computing can transform education by improving efficiency and empowering institutions. This research paper explores the application of these technologies in educational settings and investigates their benefits, challenges, and potential solutions. Educational institutions can track classroom occupancy, ambient conditions, and student participation using wireless sensor systems. loT edge computing allows data processing and analysis at the network edge for rapid insights and decision-making. Fog computing integrates cloud resources with edge computing to support complicated computations and data storage. Wireless sensor devices, loT edge computing, and fog computing are used to optimize educational processes like resource management, student tracking, personalized learning, and campus security. Data privacy, security, scalability, and interoperability issues are studied and solutions suggested. This research shows how wireless sensor devices, loT edge computing, and fog computing may alter educational systems, helping institutions improve efficiency and empower stakeholders.
The number of vehicles on the road has been increasing rapidly, especially in metropolitan cities... more The number of vehicles on the road has been increasing rapidly, especially in metropolitan cities. It's observed finding parking space is a time consuming and hectic task for the drivers, moreover, the environment is also get affected due to the level of fuel burn in the parking lot. Therefore, a practically feasible solution is demanded to find out parking space in small spam of time to save the driver's time and to keep our cities clean. In this paper, a framework is proposed to provide parking space for vehicles by using IoT and some other technologies. Moreover, application based hardware is proposed using microcontrollers, IoT devices and web applications. The proposed design also gives multiple options for the payment to save time and deadlocks in the parking area.
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Papers by Shams Siddiqui
and operational efficiency, the deployment of WSNs presents substantial advantages. The study initiates with an examination of fundamental design considerations, encompassing energy efficiency, scalability, data security, and user experience. It proposes a comprehensive architecture that includes sensor nodes, communication protocols, network topology, base stations, and cloud integration to facilitate effective data collection and processing. Key implementation strategies are detailed, including sensor node deployment, communication protocol configuration, cloud server setup, and user training. The paper underscores the suitability of routing protocols such as LEACH, AODV, and Directed Diffusion for educational applications, highlighting their
efficacy in achieving energy-efficient and reliable data transmission. This research elucidates the potential of WSNs to foster interactive, adaptive, and resource-optimized educational environments, providing valuable insights into their practical
deployment and benefits in contemporary educational settings.
and operational efficiency, the deployment of WSNs presents substantial advantages. The study initiates with an examination of fundamental design considerations, encompassing energy efficiency, scalability, data security, and user experience. It proposes a comprehensive architecture that includes sensor nodes, communication protocols, network topology, base stations, and cloud integration to facilitate effective data collection and processing. Key implementation strategies are detailed, including sensor node deployment, communication protocol configuration, cloud server setup, and user training. The paper underscores the suitability of routing protocols such as LEACH, AODV, and Directed Diffusion for educational applications, highlighting their
efficacy in achieving energy-efficient and reliable data transmission. This research elucidates the potential of WSNs to foster interactive, adaptive, and resource-optimized educational environments, providing valuable insights into their practical
deployment and benefits in contemporary educational settings.
space in small spam of time to save the driver's time and to keep our cities clean. In this paper, a framework is proposed to provide parking space for vehicles by using IoT and some other technologies. Moreover, application based hardware is proposed using microcontrollers, IoT devices and web applications. The proposed design also gives multiple options for
the payment to save time and deadlocks in the parking area.