5,280 research outputs found
Edge Intelligence for Empowering IoT-based Healthcare Systems
The demand for real-time, affordable, and efficient smart healthcare services
is increasing exponentially due to the technological revolution and burst of
population. To meet the increasing demands on this critical infrastructure,
there is a need for intelligent methods to cope with the existing obstacles in
this area. In this regard, edge computing technology can reduce latency and
energy consumption by moving processes closer to the data sources in comparison
to the traditional centralized cloud and IoT-based healthcare systems. In
addition, by bringing automated insights into the smart healthcare systems,
artificial intelligence (AI) provides the possibility of detecting and
predicting high-risk diseases in advance, decreasing medical costs for
patients, and offering efficient treatments. The objective of this article is
to highlight the benefits of the adoption of edge intelligent technology, along
with AI in smart healthcare systems. Moreover, a novel smart healthcare model
is proposed to boost the utilization of AI and edge technology in smart
healthcare systems. Additionally, the paper discusses issues and research
directions arising when integrating these different technologies together.Comment: This paper has been accepted in IEEE Wireless Communication Magazin
The design and evaluation of Wireless Sensor Networks for applications in industrial locations
In manufacturing industries, there exist many applications where Wireless Sensor Networks (WSN\u27s) are integrated to provide wireless solution for the automated manufacturing processes. It is well known that industrial environments characterized by extreme conditions such as high temperature, pressure, and electromagnetic (EM) interference that can affect the performance of the WSN\u27s. The key solution to overcome this performance issue is by monitoring the received Signal Strength Index (RSSI) at the received sensor of the WSN device and track frame error rate of wireless packets.
ZigBee is a wireless sensor network (WSN) standard designed for specific needs of the remote monitoring sensor system. Zigbee networks can be established by three different topologies: start, hybrid, and mesh. In this research project, the interest in analyzing the characteristics of the Zigbee performance was completed using a star topology network. Three performance parameters were obtained: the RSSI signal to monitor the received wireless packets from the sending node, path-lost exponent to determine the effect of industrial environment on wireless signals, and the frame error rate to know the discontinue time. The study was in three phases and took place in two settings: The first was at the manufacturing laboratory at the University of Northern Iowa, the second and the third were at the facility of a Midwestern manufacturing company. The study aimed to provide an analytical tool to evaluate the performances of Zigbee networks in industrial environments and compare the results to show that harsh environments do affect its performance.
The study also involved testing the performance of WSN. This was done by simulating input/output Line passing with digital and analog data. Packets were sent from one node and counted at the receiving side to measure the packet error rate of WSN in industrial environment.
In conclusion, investigating the WSN\u27s systems performance in industrial environment provides is crucial to identify the effects of the harsh conditions. It is necessary to run similar investigation to prevent the malfunction of the manufacturing applications. Testing a simple WSN in industrial environment can be capable of predicting the performance of the network. It is also recommended to have an embedded approach to WSN applications that can self-monitor its performance
Reconfigurable middleware architectures for large scale sensor networks
Wireless sensor networks, in an effort to be energy efficient, typically lack the high-level abstractions of advanced programming languages. Though strong, the dichotomy between these two paradigms can be overcome. The SENSIX software framework, described in this dissertation, uniquely integrates constraint-dominated wireless sensor networks with the flexibility of object-oriented programming models, without violating the principles of either. Though these two computing paradigms are contradictory in many ways, SENSIX bridges them to yield a dynamic middleware abstraction unifying low-level resource-aware task reconfiguration and high-level object recomposition. Through the layered approach of SENSIX, the software developer creates a domain-specific sensing architecture by defining a customized task specification and utilizing object inheritance. In addition, SENSIX performs better at large scales (on the order of 1000 nodes or more) than other sensor network middleware which do not include such unified facilities for vertical integration
Healthcare Monitoring System
The proposed model enables users to improve health related risks and reduce healthcare costs by collecting, recording, analyzing and sharing large data streams in real time and efficiently. In a hospital health care monitoring system it is necessary to constantly monitor the patientâs physiological parameters. For example a pregnant woman parameters such as blood pressure (BP) and heart rate of the woman and heart rate and movements of fetal to control their health condition. The idea of this project came so to reduce the headache of patient to visit to doctor every time he need to check his blood pressure, heart beat rate, temperature etc. With the help of this proposal the time of both patients and doctors are saved and doctors can also help in emergency scenario as much as possible. This system can detect the abnormal conditions, issue an alarm to the patient and send a information to the physician. The proposed outcome of the project is to give proper and efficient medical services to patients by connecting and collecting data information through health status monitors which would include patientâs heart rate, blood pressure and sends an emergency alert to patientâs doctor with his current status and full medical information
Survey on Security Issues and Protective Measures in Different Layers of Internet of Things (IoT)
In general perspective, Internet of things is defined as a network of physical objects by connectingâ things to thingsâ through the sensors, actuators and processors, to communicate and exchange data and information among each other along with other related devices and systems spread over different locations, without human-to-human or human-to-computer interactions. This survey summarises all the security threats along with privacy issues that may be confronted by the end users in Internet of Things (IoT). The majority of survey is to gather information about the current security requirements for IoT, the further scope and the challenges in IoT and the measures to prevent attacks upon the IoT systems
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