Using the Cloud to Improve Sensor Availability and Reliability in Remote Monitoring

Ooi, Boon-Yaik; Beh, Woan Lin; Lee, Wai-Kong; Shirmohammadi, Shervin

doi:10.1109/tim.2018.2882218

Cited by 15 publications

(2 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fog's dispersed architecture makes it a more secure technology than the Cloud. Fog computing can also be widely used in smart logistics to support time-sensitive applications and distributed intelligence, such as intelligent scheduling of logistics devices, intelligent security of park boundaries, intelligent monitoring of storage environments, and so on [14,15].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Fog Enabled Sensor Cloud Platform for Smart Logistics Park

Wei

2022

Mobile Information Systems

View full text Add to dashboard Cite

This paper is a comparative study on the performance of the fog-enabled sensor cloud (FSC) and traditional cloud computing and fog computing modes in a smart logistics park. Based on our previous work, we describe the physical sensor virtualization scheme and framework of the proposed FSC, construct the network model, and mathematically describe the parameters of the FSC. To assess the performance of the proposed platform, we take a large logistics enterprise in China as an example and illustrate the network setup of the proposed platform in a real logistics scenario. The experiment proves that the FSC for smart logistics parks has a practical advantage over the traditional cloud computing and fog computing modes in terms of bandwidth consumption and service latency.

show abstract

Section: Introductionmentioning

confidence: 99%

Assessment of Fog Enabled Sensor Cloud Platform for Smart Logistics Park

Wei

2022

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…Using a function to check the data from all the sensors in an area provides three main advantages: fault detection, fault masking, energy management. However, a more intelligent pair-wise comparison algorithm is needed to make the proposed solution feasible [18], [19]. Cloud can also assist in stabilization of multi-agent sensor systems and it is possible to explicitly quantify the benefits of the cloud assistance in terms of stability performance as well as superior scalability performance with low access latency [20].…”

Section: Introductionmentioning

confidence: 99%

Techniques to Improve Reliability in an IoT Architecture Framework for Intelligent Products

Coman

D’Amico²,

Coman³

et al. 2021

IEEE Access

View full text Add to dashboard Cite

Sensor-Cloud Systems (SCS) are designed to link sensor networks and cloud applications, in order to gather and process information. While this is a hot topic for both academia and industry, with a large number of implementations, not much effort was put towards analysing the reliability of these systems. This article presents an experimental implementation of a system in the field of intelligent products and explores reliability improving techniques in five main areas of the SCS: network communication performance, auto recovery, local backup, automated software testing and system security. They all play an important role in determining the level of reliability of the novel Internet of Things (IoT) architecture framework for intelligent products presented in the article. A new formula is proposed for assessing the reliability of a SCS based on metrics from each of the five areas. Metrics used to assess the system reliability are presented, along with comparisons between operating with improvement techniques and without them. The results show that the reliability of the implemented SCS is improved considerably by implementing a deliberate reliability policy using an original five level tiered approach.

show abstract

A New Fog Enabled Sensor Cloud Platform for Smart Logistics Park

Wei

Wang

2021

Advances in Artificial Systems for Logistics Engineering

View full text Add to dashboard Cite

Using the Cloud to Improve Sensor Availability and Reliability in Remote Monitoring

Cited by 15 publications

References 36 publications

Assessment of Fog Enabled Sensor Cloud Platform for Smart Logistics Park

Assessment of Fog Enabled Sensor Cloud Platform for Smart Logistics Park

Techniques to Improve Reliability in an IoT Architecture Framework for Intelligent Products

A New Fog Enabled Sensor Cloud Platform for Smart Logistics Park

Contact Info

Product

Resources

About