MQTT in AAL systems for home monitoring of people with dementia

Campo, Antônio; Gambi, Ennio; Montanini, Laura; Perla, Davide; Raffaeli, Laura; Spinsante, Susanna

doi:10.1109/pimrc.2016.7794566

Cited by 22 publications

(22 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Yokotani and Sasaki [12] proved that the MQTT protocol is more scalable and reliable for applications, which requires very high data transmission frequency as in IoV environments. In a deeper research, Del Campo et al [13] presented an integrated different-degrees MQTT protocol architecture, which has an ability of effective and reliable distribution of notification messages among different actors. The proposed architecture has been adopted for the home monitoring of patients with dementia.…”

Section: Related Workmentioning

confidence: 99%

“…End if (13) Else exit (14) End else ( The following initiation algorithm should be executed to start fuzzy rule-based traffic congestion evaluation, as presented in Algorithm 2. 2.…”

Section: Traffic Congestion Observationmentioning

confidence: 99%

“…Consequently, each header subscribes to a VD data topic that is maintained by the control center to track real-time VD data. The real-time VD data are used to estimate the traffic density and velocity performance index of the road segment by using (12) and (13).…”

Section: (Lines (7)-(15))mentioning

confidence: 99%

“…(1) If (Fuzzy Based Evaluation(r c ) == 'congested') then (2) Verfication Result = NULL (3) For each r i do (4) If (Exist Outflow(lane j ,r k ) == true) then (5) Update Neighbor(r j ) to inflow neighbor table of r k (6) End if (7) End For (8) For each inflow neighbor r k of r c do (9) = Select header(r k ) (10) End for (11) While (Verfication Result = NULL) do (12) performs Update traffic(flow, density) to traffic flow table of r c (13) performs Publish(flow, density, r c ) to the control center (14) For each inflow neighbor r k of r c do (15) performs Update traffic(flow, density) to traffic flow table of r k (16) performs Publish(flow, density, r k ) to the control center (17) End For (18) do Rankine-Hugoniot Validation( , 1 , 2 , . .…”

Section: Traffic Congestion Condition Verification Operationmentioning

confidence: 99%

See 3 more Smart Citations

An Efficient Traffic Congestion Monitoring System on Internet of Vehicles

Nguyen

Dow

Hwang

2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Existing intelligent transport systems (ITS) do not fully consider and resolve accuracy, instantaneity, and compatibility challenges while resolving traffic congestion in Internet of Vehicles (IoV) environments. This paper proposes a traffic congestion monitoring system, which includes data collection, segmented structure establishment, traffic-flow modelling, local segment traffic congestion prediction, and origin-destination traffic congestion service for drivers. Macroscopic model-based traffic-flow factors were formalized on the basis of the analysis results. Fuzzy rules-based local segment traffic congestion prediction was performed to determine the traffic congestion state. To enhance prediction efficiency, this paper presents a verification process for minimizing false predictions which is based on the Rankine-Hugoniot condition and an origin-destination traffic congestion service is also provided. To verify the feasibility of the proposed system, a prototype was implemented. The experimental results demonstrate that the proposed scheme can effectively monitor traffic congestion in terms of accuracy and system response time.

show abstract

Section: Related Workmentioning

confidence: 99%

“…End if (13) Else exit (14) End else ( The following initiation algorithm should be executed to start fuzzy rule-based traffic congestion evaluation, as presented in Algorithm 2. 2.…”

Section: Traffic Congestion Observationmentioning

confidence: 99%

Section: (Lines (7)-(15))mentioning

confidence: 99%

Section: Traffic Congestion Condition Verification Operationmentioning

confidence: 99%

See 2 more Smart Citations

An Efficient Traffic Congestion Monitoring System on Internet of Vehicles

Nguyen

Dow

Hwang

2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…The data transmission protocol implemented in this project provides a LoRa-to-MQTT and MQTT-to-LoRa format conversion, operated by the Raspberry Pi used as the Processing Unit of the Data Concentrator. A similar architecture had already been proposed in Del Campo et al 34 In such a case, the WSN communicates via BLE and the MQTT client resides in a home gateway, providing an intermediate integration level.…”

Section: Mqtt-based Communication Protocolmentioning

confidence: 99%

A home automation architecture based on LoRa technology and Message Queue Telemetry Transfer protocol

Gambi

Montanini

Pigini

et al. 2018

International Journal of Distributed Sensor Networks

Self Cite

View full text Add to dashboard Cite

In recent years, Internet of Things technologies gained momentum in various application areas, including the Smart Home field. In this view, the smart objects available in the house can communicate with each other and with the outside world by adopting solutions already proposed for Internet of Things. In fact, among the challenges to face during the design and implementation of an Internet of Things-based Smart Home infrastructure, battery usage represents a key point for the realization of an efficient solution. In this context, the communication technology chosen plays a fundamental role, since transmission is generally the most energy demanding task, and Internet of Things communication technologies are designed to reduce as much as possible the power consumption. This article describes an Internet of Thingsoriented architecture for the Smart Home, based on the long-range and low-power technology LoRa. Moreover, in order to enable the devices to communicate with each other and the outside world, the Message Queue Telemetry Transfer protocol is used as a domotic middleware. We show that LoRa, designed by having in mind the typical requirements of Internet of Things (i.e. low power consumption, sporadic transmission, and robustness to interference), is well-suited to also meet the need of more established home automation systems, specifically the low latency in message delivery. Interoperability among different devices may also be obtained through the Message Queue Telemetry Transfer midlleware.

show abstract

Designing a course for smart healthcare engineering education

Rodić-Trmčić

Лабус

Barać

et al. 2017

Comp Applic In Engineering

View full text Add to dashboard Cite

Smart healthcare is an emerging concept that relies on the synergy of various engineering concepts and intelligent technical innovations applicable to healthcare. Demand for smart healthcare engineers is anticipated to grow, hence, arising a need to educate profile engineers. The goal of this paper is to introduce an approach to designing a course for smart healthcare engineering education. Through the key topics of the course, students acquired new skills and knowledge from emerging technologies underlying smart healthcare. The proposed approach was evaluated at a graduate course at the Faculty of Organizational Sciences, University of Belgrade. The results indicate that there was a positive impact on the learning process as well as a positive learning experience.

show abstract

MQTT in AAL systems for home monitoring of people with dementia

Cited by 22 publications

References 13 publications

An Efficient Traffic Congestion Monitoring System on Internet of Vehicles

An Efficient Traffic Congestion Monitoring System on Internet of Vehicles

A home automation architecture based on LoRa technology and Message Queue Telemetry Transfer protocol

Designing a course for smart healthcare engineering education

Contact Info

Product

Resources

About