Sara KASSAN - Academia.edu (original) (raw)
Papers by Sara KASSAN
HAL (Le Centre pour la Communication Scientifique Directe), 2019
Wireless Human Body Sensor Networks (WHBSNs) are extensively used in vital sign monitoring applic... more Wireless Human Body Sensor Networks (WHBSNs) are extensively used in vital sign monitoring applications and predicting crop health in in order to identify emergency situations and allow caregivers to respond efficiently. When a sensor is drained of energy, it can no longer achieve its role without a substituted source of energy. However, limited energy in a sensor's battery prevents the long-term process in such applications. In addition, replacing the sensors' batteries and redeploying the sensors can be very expensive in terms of time and budget and need the presence of the patient at the hospital. To overcome the energy limitation, researchers have proposed the use of energy harvesting to reload the rechargeable battery by power. Therefore, efficient power management is required to increase the benefits of having additional environmental energy. This paper presents a review of energy efficient harvesting mechanisms to extend the Wireless Human Body Sensors lifetime.
Cloud computing technology hosts application for users to accesses computing as services. Its app... more Cloud computing technology hosts application for users to accesses computing as services. Its application has been widely used and increases to become a part of enterprises’ computing infrastructures. However, Cloud computing latency and request deadline fulfillment issues are among the major problems. Therefore, there is a need for a solution to synchronize a request states in Cloud computing. In this paper, the resource allocation and scheduling problem for services in the cloud are addressed and a solution model is presented. Our approach is based on MAX-Plus algebra, to provide a deterministic and exact solution to the minimization of services queries response times. Our proposal is tested on various problems sizes to evaluate its performance and scalability.
Mobile Networks and Applications, Jun 26, 2019
Wireless Sensor Networks (WSNs) are extensively used in monitoring applications such as humidity ... more Wireless Sensor Networks (WSNs) are extensively used in monitoring applications such as humidity and temperature sensing in smart buildings, industrial automation, and predicting crop health. Sensor nodes are deployed in remote places to sense the data information from the environment and to transmit the sensing data to the Base Station (BS). When a sensor is drained of energy, it can no longer achieve its role without a substituted source of energy. However, limited energy in a sensor's battery prevents the long-term process in such applications. In addition, replacing the sensors' batteries and redeploying the sensors is very expensive in terms of time and budget. To overcome the energy limitation without changing the size of sensors, researchers have proposed the use of energy harvesting to reload the rechargeable battery by power. Therefore, efficient power management is required to increase the benefits of having additional environmental energy. This paper presents a new selfmanagement of energy based on Proportional Integral Derivative controller (PID) to tune the energy harvesting and Microprocessor Controller Unit (MCU) to control the sensor modes.
2023 IEEE Symposium on Computers and Communications (ISCC)
2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Trends in Telemedicine & E-health, 2019
Wireless Human Body Sensors Network Lifetime One of the most critical challenge concerning Wirele... more Wireless Human Body Sensors Network Lifetime One of the most critical challenge concerning Wireless Human Body Sensors Network is how to prolong the lifetime of the network. There is not only one definition of lifetime.
2018 IEEE International Conference on Communications (ICC), 2018
Wireless sensor network (WSN) represents a very important research that targets a very large numb... more Wireless sensor network (WSN) represents a very important research that targets a very large number of possible applications in healthcare, smart cities, environmental monitoring, military, industrial automation and recently in smart grids. It consists of three main components: a large number of nodes, gateways and software. WSN workload needs an unlimited lifetime energy and it doesn't depend on a limit energy usage while sensor nodes are supplied by batteries or supercapacitors with limited energy. Particular algorithms must be employed so that energy consumption is reduced. In this paper, clustering protocols are investigated and a new approach is proposed to increase the lifetime of the wireless sensor network. Simulation results show that its performance is better in terms of prolonging the lifetime of the network and increasing the number of data packets received by the Base Station (BS).
2019 IEEE Global Communications Conference (GLOBECOM), 2019
Cloud computing technology hosts application for users to accesses computing as services. Its app... more Cloud computing technology hosts application for users to accesses computing as services. Its application has been widely used and increases to become a part of enterprises’ computing infrastructures. However, Cloud computing latency and request deadline fulfillment issues are among the major problems. Therefore, there is a need for a solution to synchronize a request states in Cloud computing. In this paper, the resource allocation and scheduling problem for services in the cloud are addressed and a solution model is presented. Our approach is based on MAX-Plus algebra, to provide a deterministic and exact solution to the minimization of services queries response times. Our proposal is tested on various problems sizes to evaluate its performance and scalability.
Mobile Networks and Applications
Wireless Sensor Networks (WSNs) are extensively used in monitoring applications such as humidity ... more Wireless Sensor Networks (WSNs) are extensively used in monitoring applications such as humidity and temperature sensing in smart buildings, industrial automation, and predicting crop health. Sensor nodes are deployed in remote places to sense the data information from the environment and to transmit the sensing data to the Base Station (BS). When a sensor is drained of energy, it can no longer achieve its role without a substituted source of energy. However, limited energy in a sensor's battery prevents the long-term process in such applications. In addition, replacing the sensors' batteries and redeploying the sensors is very expensive in terms of time and budget. To overcome the energy limitation without changing the size of sensors, researchers have proposed the use of energy harvesting to reload the rechargeable battery by power. Therefore, efficient power management is required to increase the benefits of having additional environmental energy. This paper presents a new selfmanagement of energy based on Proportional Integral Derivative controller (PID) to tune the energy harvesting and Microprocessor Controller Unit (MCU) to control the sensor modes.
Journal of Network and Computer Applications
One of the most significant difficulty in Wireless Sensors Network (WSN) is the development of an... more One of the most significant difficulty in Wireless Sensors Network (WSN) is the development of an effective topology control method that can support the quality of the network, respect the limited memory and at the same time increase the lifetime of the network. This paper introduces a new approach by mixing a non-cooperative Game Theory technique with a decentralized clustering algorithm to address the problem of maximizing the network lifetime. More precisely, this approach uses Game Theory techniques to control the activities of a sensor node and its neighbors to limit the number of the forwarding messages and to maximize the lifetime of the sensor's battery. In other words, the approach will decrease the energy consumed by the WSN by decreasing the number of forwarded packets and improve the network lifetime by harvesting energy from the environment. The simulations results show that the performances in terms of energy saving and increasing the number of data packets received by base station outperforms those with distributed based clustering algorithms without GT, such as low energy and location based clustering LELC and LEACH algorithms.
HAL (Le Centre pour la Communication Scientifique Directe), 2019
Wireless Human Body Sensor Networks (WHBSNs) are extensively used in vital sign monitoring applic... more Wireless Human Body Sensor Networks (WHBSNs) are extensively used in vital sign monitoring applications and predicting crop health in in order to identify emergency situations and allow caregivers to respond efficiently. When a sensor is drained of energy, it can no longer achieve its role without a substituted source of energy. However, limited energy in a sensor's battery prevents the long-term process in such applications. In addition, replacing the sensors' batteries and redeploying the sensors can be very expensive in terms of time and budget and need the presence of the patient at the hospital. To overcome the energy limitation, researchers have proposed the use of energy harvesting to reload the rechargeable battery by power. Therefore, efficient power management is required to increase the benefits of having additional environmental energy. This paper presents a review of energy efficient harvesting mechanisms to extend the Wireless Human Body Sensors lifetime.
Cloud computing technology hosts application for users to accesses computing as services. Its app... more Cloud computing technology hosts application for users to accesses computing as services. Its application has been widely used and increases to become a part of enterprises’ computing infrastructures. However, Cloud computing latency and request deadline fulfillment issues are among the major problems. Therefore, there is a need for a solution to synchronize a request states in Cloud computing. In this paper, the resource allocation and scheduling problem for services in the cloud are addressed and a solution model is presented. Our approach is based on MAX-Plus algebra, to provide a deterministic and exact solution to the minimization of services queries response times. Our proposal is tested on various problems sizes to evaluate its performance and scalability.
Mobile Networks and Applications, Jun 26, 2019
Wireless Sensor Networks (WSNs) are extensively used in monitoring applications such as humidity ... more Wireless Sensor Networks (WSNs) are extensively used in monitoring applications such as humidity and temperature sensing in smart buildings, industrial automation, and predicting crop health. Sensor nodes are deployed in remote places to sense the data information from the environment and to transmit the sensing data to the Base Station (BS). When a sensor is drained of energy, it can no longer achieve its role without a substituted source of energy. However, limited energy in a sensor's battery prevents the long-term process in such applications. In addition, replacing the sensors' batteries and redeploying the sensors is very expensive in terms of time and budget. To overcome the energy limitation without changing the size of sensors, researchers have proposed the use of energy harvesting to reload the rechargeable battery by power. Therefore, efficient power management is required to increase the benefits of having additional environmental energy. This paper presents a new selfmanagement of energy based on Proportional Integral Derivative controller (PID) to tune the energy harvesting and Microprocessor Controller Unit (MCU) to control the sensor modes.
2023 IEEE Symposium on Computers and Communications (ISCC)
2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Trends in Telemedicine & E-health, 2019
Wireless Human Body Sensors Network Lifetime One of the most critical challenge concerning Wirele... more Wireless Human Body Sensors Network Lifetime One of the most critical challenge concerning Wireless Human Body Sensors Network is how to prolong the lifetime of the network. There is not only one definition of lifetime.
2018 IEEE International Conference on Communications (ICC), 2018
Wireless sensor network (WSN) represents a very important research that targets a very large numb... more Wireless sensor network (WSN) represents a very important research that targets a very large number of possible applications in healthcare, smart cities, environmental monitoring, military, industrial automation and recently in smart grids. It consists of three main components: a large number of nodes, gateways and software. WSN workload needs an unlimited lifetime energy and it doesn't depend on a limit energy usage while sensor nodes are supplied by batteries or supercapacitors with limited energy. Particular algorithms must be employed so that energy consumption is reduced. In this paper, clustering protocols are investigated and a new approach is proposed to increase the lifetime of the wireless sensor network. Simulation results show that its performance is better in terms of prolonging the lifetime of the network and increasing the number of data packets received by the Base Station (BS).
2019 IEEE Global Communications Conference (GLOBECOM), 2019
Cloud computing technology hosts application for users to accesses computing as services. Its app... more Cloud computing technology hosts application for users to accesses computing as services. Its application has been widely used and increases to become a part of enterprises’ computing infrastructures. However, Cloud computing latency and request deadline fulfillment issues are among the major problems. Therefore, there is a need for a solution to synchronize a request states in Cloud computing. In this paper, the resource allocation and scheduling problem for services in the cloud are addressed and a solution model is presented. Our approach is based on MAX-Plus algebra, to provide a deterministic and exact solution to the minimization of services queries response times. Our proposal is tested on various problems sizes to evaluate its performance and scalability.
Mobile Networks and Applications
Wireless Sensor Networks (WSNs) are extensively used in monitoring applications such as humidity ... more Wireless Sensor Networks (WSNs) are extensively used in monitoring applications such as humidity and temperature sensing in smart buildings, industrial automation, and predicting crop health. Sensor nodes are deployed in remote places to sense the data information from the environment and to transmit the sensing data to the Base Station (BS). When a sensor is drained of energy, it can no longer achieve its role without a substituted source of energy. However, limited energy in a sensor's battery prevents the long-term process in such applications. In addition, replacing the sensors' batteries and redeploying the sensors is very expensive in terms of time and budget. To overcome the energy limitation without changing the size of sensors, researchers have proposed the use of energy harvesting to reload the rechargeable battery by power. Therefore, efficient power management is required to increase the benefits of having additional environmental energy. This paper presents a new selfmanagement of energy based on Proportional Integral Derivative controller (PID) to tune the energy harvesting and Microprocessor Controller Unit (MCU) to control the sensor modes.
Journal of Network and Computer Applications
One of the most significant difficulty in Wireless Sensors Network (WSN) is the development of an... more One of the most significant difficulty in Wireless Sensors Network (WSN) is the development of an effective topology control method that can support the quality of the network, respect the limited memory and at the same time increase the lifetime of the network. This paper introduces a new approach by mixing a non-cooperative Game Theory technique with a decentralized clustering algorithm to address the problem of maximizing the network lifetime. More precisely, this approach uses Game Theory techniques to control the activities of a sensor node and its neighbors to limit the number of the forwarding messages and to maximize the lifetime of the sensor's battery. In other words, the approach will decrease the energy consumed by the WSN by decreasing the number of forwarded packets and improve the network lifetime by harvesting energy from the environment. The simulations results show that the performances in terms of energy saving and increasing the number of data packets received by base station outperforms those with distributed based clustering algorithms without GT, such as low energy and location based clustering LELC and LEACH algorithms.