System Architecture of a Proactive Intelligent System to Monitor Health of Older Adults Living Alone

Worldwide improvements in the quality of life highlight immense need to have a remote health monitoring system that can provide critical biomedical data. This paper presents a low-cost health monitoring system, forming part of the Internet of Things (IoT), which aims at continuous, 24/7 monitoring of elderly people and disabled people. The system is implemented with a variety of sensors, for example, temperature, heart rate, and movement measurements, to observe a person’s status. Doctors may also prescribe this system with a specific number and type of sensor, depending on a patient’s condition. In a case study, three sensors measured the status of a person during the day. The measurements reflected the actions of the person as he/she relaxed or was active, in addition to monitoring his/her state of health. The observed data were recorded in a database that can be displayed by authorized caregivers. Results witnessed the efficacy of the proposed system. The proposed system finds enormous potential in giving remote healthcare facilities, especially to unaccompanied older adults

Evaluating UPnP Service Discovery Protocols by using NS2 Simulator

Examining a protocol is necessary in order to identify its advantages and disadvantages precisely. Here we apply UPnP technology on an Ethernet network to evaluate its performance and identify its positive and negative sides. As it is known that UPnP can be run on many media that support IP such as Ethernet, Bluetooth and Wi-Fi. This paper produces an evaluation of UPnP service discovery protocol on different network sizes and shape by using NS2 simulator. This evaluation includes an assessment to the required transmission time which is required in the sending and receiving of messages for discovering all services in a defined network, and the cost for each examined network size to achieve this process. Cost means the required number of messages that should be transmitted to discover all services in the defined network. In addition to, examine the effect of the network shape to the performance of the UPnP protoco

Predicting queue size to avoid message lose in service discovery protocols

The use of broadcast based, service discovery protocols puts a significant strain on the delivery reliability of messages, particularly when a large number of devices simultaneously issue discovery requests. This usually results in undelivered discovery requests either requiring the requests to be issued again or the services remaining undiscovered. One of the principle courses of such message loss is the queuing mechanism used by the intermediate routers and/or any control points required to manage devices. This paper presents a significant analysis of the relationships between the different network devices to try to understand the causes of such message loss. In particular it will examine the different causes and how they influence each other. We present a formula which shows the relationship between the different causes of undelivered messages. This formula has been applied to the Universal Plug and Play (UPnP) protocol using simulated client and service applications written in C++. This paper provides researchers and network designers a mechanism for analyzing the potential performance of a network. It allows the impact of the relationships between the different causes for the non-delivery of messages to be taken into consideration when designing a network and applying protocols to that network