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- Traffic Management in Rural NetworksPublication . Emiliano, Rodrigo; Silva, Fernando; Frazão, Luis Alexandre Lopes; Barroso, João; Pereira, AntónioThe internet is increasingly present in people's lives, being used in diverse tasks, such as checking e-mail up to online gaming and streaming. The so-called "killer applications" are applications that, when not properly identified and prevented, have more impact on the network, making it slow. When these applications are used on networks with limited resources, as happens in rural networks, they cause a large load on the network, making it difficult its use for work purposes. It is important then to recognize and characterize this traffic to take action so that it does not cause network problems. With that in mind, the work presented in this paper describes the research and identification of cost free traffic analysis solutions that can help to overcome such problems. For that, we perform preliminary testing and a performance comparison of those tools, focusing on testing particular types of network traffic. After that, we describe the analysis and subsequent modification of the source code for storing important traffic data for the tests, as well as the test scenarios in laboratory and real-life environments. These tasks are aimed on collecting information that assists in taking action to improve the allocation of network resources to priority traffic.
- Intelligent Distributed Systems for Rural AreasPublication . Frazão, Luis Alexandre Lopes; Meire, Silvana; Pereira, AntónioCommunication technologies have evolved and grown exponentially in recent years. Unfortunately, this growth is not the case in rural areas, where the small population density does not justify the investment made by Internet providers. The creation and development of projects in rural wireless networks are often an effective alternative to traditional Internet providers. However, these projects tend to disappear soon after their implementation due to the cost of managing and solving problems. This paper presents an intelligent distributed system that can help the network administrators in maintenance tasks by applying automatic intelligent actions and decisions, ease the installation of new network devices for end users, automatically update existing devices, and manage network traffic by applying algorithms that will decide based on intelligence. This is achieved by using an intelligent distributed system executed on every device of the network and is capable of making decisions and actions that will help administrators with problem-solving, automatic configuration of devices, proactive bandwidth and network traffic management, and reduce costs in maintaining the network.
- Real-Time Low-Cost Active and Assisted Living for the ElderlyPublication . Almeida, António Henrique; Santos, Ivo; Rodrigues, Joel; Frazão, Luis; Ribeiro, José; Silva, Fernando; Pereira, AntónioThe aging of population in recent years and the increase in life expectancy is raising challenges for finding new ways to guarantee healthy and controlled activities for the elderly. Most of them prefer living in their houses than in a community center, even if they live alone or isolated from their family; at home, their normal routine activities and comfort makes them feel well. In this paper, an Active and Assisted Living (AAL) solution to detect irregular situations in everyday life of the elderly living alone is presented. By using low-cost sensors in an Internet of Things (IoT) architecture we aim to gather data in specific areas of an elderly’s house in order to give the system enough input to detect abnormal behavior. These sensors are non-intrusive to the elderly, do not disturb them, and do not force them to wear a device at all times. These sensors can also send information to edge computing devices that analyze the data in real time using machine learning algorithms and alert family or caretakers when an unusual situation arises. The proposed solution provides a system that monitors the main activities performed by the elderly and creates patterns based on that activity to achieve its results and is scalable in terms of sensors and data input.