A mobile crowd sensing ecosystem enabled by CUPUS: Cloud-based publish/subscribe middleware for the Internet of Things

Antonić, Aleksandar; Marjanović, Martina; Pripužić, Krešimir; Žarko, Ivana Podnar

doi:10.1016/j.future.2015.08.005

Cited by 125 publications

(67 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…IoT [25] Background. In order to collect and gather data over a large geographical area, an emerging paradigm of mobile crowd sensing (MCS) has lately attracted the attention of the research community.…”

Section: Cupus Cloud-based Publish and Subscribe Middleware Formentioning

confidence: 99%

“…In the end real-time, delivery of notifications to mobile devices takes place. Motivated with the middleware the authors in [25] proposed content-based publish-subscribe model named CUPUS within the cloud and mobile devices.…”

Section: Motivationmentioning

confidence: 99%

“…The proposed framework, CUPUS (Cloud-based publish-subscribe middleware) [25], consists of two main software components that are a mobile broker and cloud broker as shown in Figure 8. The mobile broker has the responsibility of data filtering/aggregation on mobile devices.…”

Section: Motivationmentioning

confidence: 99%

“…At the same time, data transmission from mobile devices is compressed into the cloud. The authors do not define a number of acceptable cloud brokers and mobile brokers in CUPUS in [25]. It seems that there will be one Background.…”

Section: Motivationmentioning

confidence: 99%

See 3 more Smart Citations

[Retracted] A Survey on Management Frameworks and Open Challenges in IoT

Kiani

2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

The new era of technology is a rollback in which massive information comes from interconnected devices. These types of things that have Internet connectivity are called the Internet of Things (IoT). IoT and its applications have enabled novel service provisioning, whereas at the same time it has raised complex challenges of managing such network. Resource limitation such as computational power and energy limitation defines the characteristics of IoT that require a novel design of management framework. Designing a management framework that meets the IoT requirements is a daunting task. Recently, Software-Defined Networking (SDN) paradigm has eased the management of traditional Internet by provisioning centralized view of the network. This makes SDN a potential candidate for managing IoT. However, traditional design of the SDN paradigm needs to be redefined to adapt it for the IoT. Hence, in this paper, we have discussed trends and research of management architecture for IoT based on Software-Defined Networking principles. In addition, we discuss non-SDN-based approaches. In this paper, we compare all of the efforts in the last five years in addressing issues of IoT management that involves security service provisioning, fault tolerance, energy management, and load balancing. We also discuss future research directions that evolved from our detailed survey and taxonomy of the Software-Defined IoT (SDIoT) management frameworks.

show abstract

Section: Cupus Cloud-based Publish and Subscribe Middleware Formentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

See 2 more Smart Citations

[Retracted] A Survey on Management Frameworks and Open Challenges in IoT

Kiani

2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Soldatos developed an IoT platform enabling the semantic interoperability of IoT services in the cloud, and provided a common standardsbased ontology model for representing physical and virtual sensors [2]. Antonić presented an ecosystem for mobile crowd sensing which relies on the cloud-based Pub/Submiddleware to acquire sensor data from mobile devices in a flexible and energy-efficient manner and to perform near real-time processing of big data streams [3]. Bendel introduced a service platform based on the extensible messaging and presence protocol for the development and provision of services for such pervasive infrastructures [4].…”

Section: Introductionmentioning

confidence: 99%

Architecting Service-Oriented Coordination Architecture for Internet of Things: a Publish/Subscribe-based Approach

Dong¹,

Jun-hui²

2017

dtcse

View full text Add to dashboard Cite

This paper presents a service-oriented approach for architecting Internet of Things (IoT) coordination architecture using ontology mechanism. Considering the real time interaction and the dynamic collaboration which are necessary for the application environment of IoT, a common and extensible issue-based resource model is defined to describe the IoT service ontologies and their relationships. A dynamic coordination mechanism based on publish/subscribe (Pub/Sub)-based service router is proposed to support multiple ontology trees fusion, route locating, message forwarding and routing. The analysis indicates that the Pub/Sub-based approach effectively realizes multiple service dynamic collaboration for the serviceoriented application in IoT.

show abstract

Energy‐efficient task allocation for service provisioning in machine‐to‐machine systems

Skočir

Kušek

Jezic

2017

Concurrency and Computation

View full text Add to dashboard Cite

Summary Machine‐to‐Machine (M2M) communication systems enable autonomous communication between heterogeneous devices. In many applications, those devices are used to obtain measurements from sensors connected to them. By integrating M2M with the Internet of things paradigm, sensors and the data they obtain can be easily accessed via Internet infrastructure. This novelty, along with the advancement of processing power on small devices and the possibility to connect more sensors to one sensing device, poses new challenges and opens new opportunities in the area. This paper presents an algorithm and a protocol devised for task allocation to nodes of the M2M architecture where M2M devices are battery powered. The presented mechanism tackles some of the identified challenges within the area. First challenge is to determine the right node for performing data analysis. Certain data analysis tasks can be performed on device, instead of only on servers, which is a traditional approach. Another challenge is to relate the process of obtaining measurements with user needs, i.e. to collect data only when users have interest in it. The last identified challenge is to extend lifetime of services with higher priority, instead of prolonging lifetime of all devices within the network. Adoption of the proposed mechanism is justified on specific services in a smart home environment. Copyright © 2017 John Wiley & Sons, Ltd.

show abstract

A mobile crowd sensing ecosystem enabled by CUPUS: Cloud-based publish/subscribe middleware for the Internet of Things

Cited by 125 publications

References 29 publications

[Retracted] A Survey on Management Frameworks and Open Challenges in IoT

[Retracted] A Survey on Management Frameworks and Open Challenges in IoT

Architecting Service-Oriented Coordination Architecture for Internet of Things: a Publish/Subscribe-based Approach

Energy‐efficient task allocation for service provisioning in machine‐to‐machine systems

Contact Info

Product

Resources

About