International Journal of Innovative Science and Research Technology, 2024
Wireless body area networks, known as body sensor networks, are wireless networks of wearable com... more Wireless body area networks, known as body sensor networks, are wireless networks of wearable computing devices. In this case, the wireless network deployed is the Internet of Things or IoT. This special WBAN will allow nurses and doctors to have a real-time view of the patient's physiological data and thereby detect unusual activities in the patient's health. This is achieved by having a device that allows the patient to collect physiological data using sensors controlled by an Arduino microcontroller board. Doctors can then log into the website and monitor the patient's health status in real-time and over some time.
British Journal of Computer, Networking and Information Technology, 2024
Enormous data generated by IoT devices are handled in processing and storage by edge computing, a... more Enormous data generated by IoT devices are handled in processing and storage by edge computing, a paradigm that allows tasks to be processed outside host devices. Task offloading is the movement of tasks from IoT devices to an edge or cloud server –where resources and processing capabilities are abundant– for processing, it is an important aspect of edge computing. This paper reviewed some task-offloading algorithms and the techniques used by each algorithm. Existing algorithms focus on either latency, load, cost, energy or delay, the deep reinforcement phase of a task offloading algorithm automates and optimizes the offloading decision process, it trains agents and defines rewards. Latency-aware phase then proceeds to obtain the best offload destination in order to significantly reduce the latency.
RECENT TRENDS AND INNOVATIONS IN APPLIED SCIENCES, Jul 3, 2024
Farming is an essential part of human life, the source of food which the body depend on for survi... more Farming is an essential part of human life, the source of food which the body depend on for survival. Smart farming is integrating technology into farming and its processes, when sensors and microcontrollers are used it is referred to as precision farming. The demand for food increases by the day, thus the scale of farming have to increase with it. Technology need to be integrated into farming in other to improve production of farm produce. This research implements Internet of Things (IoT) on farming, specifically nursery farming. The research project utilizes an Arduino microcontroller, sensors, and Wi-Fi module to automate the monitoring process of some key parameters in a nursery farm. Sensors are used to measure temperature, sunlight and soil moisture at a giving time, and relay the readings to the Internet using a router and a Wi-Fi module, which a user can access in real time. The research proposed an overview, the design, the components (sensors, Wi-Fi, router and microcontroller) and the implementation (circuit and lines of code) of the system. This system help bridge the gap in smart farming technology, thus greatly increase production. The system is however limited to the monitoring of only three parameters, additional parameters will be included in future designs.
International Journal of Innovative Science and Research Technology, 2024
Wireless body area networks, known as body sensor networks, are wireless networks of wearable com... more Wireless body area networks, known as body sensor networks, are wireless networks of wearable computing devices. In this case, the wireless network deployed is the Internet of Things or IoT. This special WBAN will allow nurses and doctors to have a real-time view of the patient's physiological data and thereby detect unusual activities in the patient's health. This is achieved by having a device that allows the patient to collect physiological data using sensors controlled by an Arduino microcontroller board. Doctors can then log into the website and monitor the patient's health status in real-time and over some time.
British Journal of Computer, Networking and Information Technology, 2024
Enormous data generated by IoT devices are handled in processing and storage by edge computing, a... more Enormous data generated by IoT devices are handled in processing and storage by edge computing, a paradigm that allows tasks to be processed outside host devices. Task offloading is the movement of tasks from IoT devices to an edge or cloud server –where resources and processing capabilities are abundant– for processing, it is an important aspect of edge computing. This paper reviewed some task-offloading algorithms and the techniques used by each algorithm. Existing algorithms focus on either latency, load, cost, energy or delay, the deep reinforcement phase of a task offloading algorithm automates and optimizes the offloading decision process, it trains agents and defines rewards. Latency-aware phase then proceeds to obtain the best offload destination in order to significantly reduce the latency.
RECENT TRENDS AND INNOVATIONS IN APPLIED SCIENCES, Jul 3, 2024
Farming is an essential part of human life, the source of food which the body depend on for survi... more Farming is an essential part of human life, the source of food which the body depend on for survival. Smart farming is integrating technology into farming and its processes, when sensors and microcontrollers are used it is referred to as precision farming. The demand for food increases by the day, thus the scale of farming have to increase with it. Technology need to be integrated into farming in other to improve production of farm produce. This research implements Internet of Things (IoT) on farming, specifically nursery farming. The research project utilizes an Arduino microcontroller, sensors, and Wi-Fi module to automate the monitoring process of some key parameters in a nursery farm. Sensors are used to measure temperature, sunlight and soil moisture at a giving time, and relay the readings to the Internet using a router and a Wi-Fi module, which a user can access in real time. The research proposed an overview, the design, the components (sensors, Wi-Fi, router and microcontroller) and the implementation (circuit and lines of code) of the system. This system help bridge the gap in smart farming technology, thus greatly increase production. The system is however limited to the monitoring of only three parameters, additional parameters will be included in future designs.
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Papers by Ahmad Labdo
WBAN will allow nurses and doctors to have a real-time view of the patient's physiological data and thereby detect unusual activities in the patient's health. This is achieved by having a device that allows the patient to collect physiological data using sensors controlled by an Arduino microcontroller board. Doctors can then log into the website and monitor the patient's health status in real-time and over some time.
and the techniques used by each algorithm. Existing algorithms focus on either latency, load, cost, energy or delay, the deep reinforcement phase of a task offloading algorithm automates and optimizes the offloading decision process, it trains agents and defines rewards. Latency-aware phase then proceeds to obtain the best offload destination in order to significantly reduce the latency.
Books by Ahmad Labdo
WBAN will allow nurses and doctors to have a real-time view of the patient's physiological data and thereby detect unusual activities in the patient's health. This is achieved by having a device that allows the patient to collect physiological data using sensors controlled by an Arduino microcontroller board. Doctors can then log into the website and monitor the patient's health status in real-time and over some time.
and the techniques used by each algorithm. Existing algorithms focus on either latency, load, cost, energy or delay, the deep reinforcement phase of a task offloading algorithm automates and optimizes the offloading decision process, it trains agents and defines rewards. Latency-aware phase then proceeds to obtain the best offload destination in order to significantly reduce the latency.