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This paper presents a real-time, low-cost, wireless, AC and DC monitoring system based on an ATmega328P-PU microcontroller. The proposed system is composed by different client nodes, which have the task to measure the main electrical quantities involved in the system, and a server node that collects the data and send them to a display device. The system is well suited for a good accuracy monitoring...
This article presents a real-time control system for an experimental model of a water distribution system. The hardware and software implementation follows the latest trends in IoT and proves that such an architecture can be used for real-time process control in distributed systems. The control of flow is implemented using a multiple-model control algorithm for the pumping station. A method which...
For a long time, the sensitivity and criticality of data storage, processing, and transmission have hindered the wide utilization of IT and networks in the health care systems. Recently, the high availability, reachability, reliability, efficiency, usability and automation provided by the different cloud computing models paved the way to integrate the e-health systems with these cloud services to...
We consider the conditions of functioning of the distributed measurement system according to the strict schedule. The system consists of several local stations integrated into the computer network with the ring structure. Sensors of measurement system have different polling periods (polled with different frequencies) with frequencies ratios are natural numbers. Design method for the operation of that...
Precision agriculture relies on real-time data gathering and analysis to maximize yield, minimize environmental impact and reduce cost, which has been envisioned as a new paradigm to revolutionize modern agriculture. However, the collection of farming data, especially geospatial data, raises concerns about potential privacy leakage. In this paper, we propose a novel scalable and private continual...
We show that it is possible to achieve information theoretic location privacy for secondary users (SUs) in database-driven cognitive radio networks (CRNs) with an end-to-end delay less than a second, which is significantly better than that of the existing alternatives offering only a computational privacy. This is achieved based on a keen observation that, by the requirement of Federal Communications...
This paper presents a multi-layer distributed performance management model for Internet of Things (IoT) as a service for caregivers. Performance monitoring and control of IoT devices and services are vital functions for e-health systems. Cloud-based IoT systems with centralized data centers further underline the need for distributed management. The main contribution of this paper is a model and prototype...
The use of Bluetooth Low Energy (BLE) recently became famous in crowd localization services. In this article we show that such service induces significant threats and we propose a scheme that achieves privacy preserving crowd localization. Crowd localization applications leverage all their users to perform periodic BLE scan and detect the nearby tracked devices. The users run a smartphone application...
Software Defined Networks (SDN) have been utilized in applications of the Internet of Things (IoT), termed as software-defined IoT network, because of the popularity and capability of mobile devices being used for networking in relatively large areas. In a software-defined IoT system, the sensing data are asynchronously harvested by the mobile sensing nodes, and are also asynchronously uploaded to...
Vehicle accidents are one of the most leading causes of fatality. The time between an accident occurrence and the emergency medical personnel are dispatched to the location of accident is the critical factor in the survival rate after an accident. By minimizing the gap time, mortality rate can be reduced. One approach to reduce the delay time is to use the Real Time Wireless Accident Tracker Using...
Monitoring of residences and businesses can be effectively performed using machine learning algorithms. As sensors and devices used for monitoring become more complex, having humans process the information to detect intrusions would be expensive and difficult to scale. We propose an automated home/business monitoring system which resides on edge servers performing online learning on streaming data...
Edge computing is an increasingly popular paradigm, wherein computation comes closer to the sources of data. A key challenge for edge computing is discovering and utilizing the heterogeneous resources of the vast number of mobile devices at the network edge. Mobile edge devices hide behind private networks, they are mobile and their owners hesitate to share them due to privacy considerations. We propose...
Energy fuels the growth and development of any country, and as such effective monitoring, measurement, billing and access control is imperative. This paper presents a device that uses the evolving Internet of Things (IoT) technology in the design and implementation of an Internet based prepaid energy meter often referred to as smart meters. The energy measurement and billing system is automated. The...
The vision of cooperative and automated driving sets new challenges for various industry sectors and research domains. In this context, the telecommunications community is called to provide reliable communication systems for vehicle-to-anything (V2X) communication that combined with sensor-based technologies will improve the performance of automated driving and increase further traffic safety. 3GPP...
Health issues are rising progressively due to the ignorance of health monitoring on regular basis which can now be looked after by the fast growing communication technologies and smart devices. In this paper, a robust healthcare model is proposed for continuous monitoring of the patient even when the patient is traveling. Sensitive data is collected from the Internet of Things (IoT) sensors connected...
This paper identifies that the anycast communication pattern is needed in the Machine Type Communications (MTC), where there could be multiple MTC devices being deployed in the same area for the same type of data, the client only cares about the data being retrieved but not where the data comes from. Currently the MTC server can provide such anycast service, but with large signaling overhead and bandwidth...
In Cognitive Radio Network (CRN) secondary users (SUs) opportunistically access the channel whenever it is not being used by primary users (PUs). The CRN Medium Access Control (MAC) protocol needs to sense the channel to find out the availability of spectrum. In this paper we propose a hybrid sensing mechanism for SUs to access the channel in CRN environment. In the proposed hybrid sensing mechanism...
This work presents security solutions related to multi-sensor closed-loop artificial pancreas (AP) systems. The proposed AP system is built on a heterogeneous platform incorporating a smartphone, activity sensors, a glucose monitor, an insulin pump, a laptop hosting the multi-variable control algorithm and a cloud server. Developing a secure AP system is essential for mass adoption among diabetes...
In this Web 2.0 era, billions of social media users contribute massive amounts of information that have already been presented in earth observation (EO) applications such as earthquake information reporting, flood monitoring, and wildfire alerting. Nevertheless, applying social media data in geo-sensing missions directly and effectively remains a challenge. In this paper, we examine how to design...
The use of sensors for the monitoring of a given environment allied to the Internet as a means of communication is popularly known as Internet of Things (IoT). The amount of information generated in this environment has led to an unprecedented increase in data collection. One of the major challenges for its development lies in the storage and the processing of this huge volume of data into acceptable...
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