Optimal Mobile-IoT Monitoring Solutions in LPWAN Technologies
Disciplines
Other Computer Engineering | Other Electrical and Computer Engineering
Abstract (300 words maximum)
Low-power wide-area networks (LPWANs) enable long-range, low-power, and low-cost communication between devices, making them ideal for remote areas. LPWANs help monitor mobile objects, like livestock or vehicles, which can provide real-time data for improved productivity. However, challenges arise in providing reliable wireless coverage, avoiding signal interference or disconnection, and providing long-lasting battery-powered sensors. To address these challenges, LPWAN-enabled sensors, and mobile objects are essential in animal agriculture. Farmers can receive real-time data on the status of their livestock, crops, and equipment, leading to improved decision-making and more efficient use of resources. A vertical solution, using LPWAN technology and mobile objects, can provide comprehensive and accurate data on the health and behavior of livestock. Choosing between a static or mobile gateway depends on the specific application and requirements. A static gateway provides coverage for a particular area, while a mobile gateway can move with the connected device, providing coverage in a broader range of environments. In animal agriculture, a mobile gateway may be more suitable as it can follow the animals and provide continuous coverage regardless of their location. LPWAN technology and mobile IoT devices provide a practical and effective solution for animal agriculture by offering real-time data collection for mobile objects. As challenges with wireless coverage and signal interference are addressed, farmers can optimize their operations with the help of data-driven insights. LPWANs have the potential to revolutionize the industry further and improve animal welfare while increasing productivity. Therefore, this project is primarily focused on studying mobile sensor approaches to both static and mobile gateways of identifying the key characteristics of LPWAN applications, applying them to explicit requirements, and then deriving the associated design consideration for providing optimal mobile-IoT monitoring solutions in LPWAN technologies.
Academic department under which the project should be listed
CCSE - Computer Science
Primary Investigator (PI) Name
Ahyoung Lee
Optimal Mobile-IoT Monitoring Solutions in LPWAN Technologies
Low-power wide-area networks (LPWANs) enable long-range, low-power, and low-cost communication between devices, making them ideal for remote areas. LPWANs help monitor mobile objects, like livestock or vehicles, which can provide real-time data for improved productivity. However, challenges arise in providing reliable wireless coverage, avoiding signal interference or disconnection, and providing long-lasting battery-powered sensors. To address these challenges, LPWAN-enabled sensors, and mobile objects are essential in animal agriculture. Farmers can receive real-time data on the status of their livestock, crops, and equipment, leading to improved decision-making and more efficient use of resources. A vertical solution, using LPWAN technology and mobile objects, can provide comprehensive and accurate data on the health and behavior of livestock. Choosing between a static or mobile gateway depends on the specific application and requirements. A static gateway provides coverage for a particular area, while a mobile gateway can move with the connected device, providing coverage in a broader range of environments. In animal agriculture, a mobile gateway may be more suitable as it can follow the animals and provide continuous coverage regardless of their location. LPWAN technology and mobile IoT devices provide a practical and effective solution for animal agriculture by offering real-time data collection for mobile objects. As challenges with wireless coverage and signal interference are addressed, farmers can optimize their operations with the help of data-driven insights. LPWANs have the potential to revolutionize the industry further and improve animal welfare while increasing productivity. Therefore, this project is primarily focused on studying mobile sensor approaches to both static and mobile gateways of identifying the key characteristics of LPWAN applications, applying them to explicit requirements, and then deriving the associated design consideration for providing optimal mobile-IoT monitoring solutions in LPWAN technologies.