Collaborative Working Architecture for IoT-Based Applications

• Published in: Sensors (Basel, Switzerland) Vol. 18; no. 6; p. 1676
• Main Authors: Mora, Higinio, Signes-Pont, María Teresa, Gil, David, Johnsson, Magnus
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 23.05.2018; MDPI
• Subjects: Cloud computing; Collaboration; Computer architecture; Computer modelling; Computer Systems; Data processing; Datorsystem; Electrical Engineering, Electronic Engineering, Information Engineering; Elektroteknik och elektronik; Embedded systems; Engineering and Technology; Internet of Things; Mobile cloud computing; Sensor processing modeling; Task complexity; Teknik; mobile cloud computing; internet of things; computer modelling; sensor processing modeling; embedded systems
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s18061676

The new sensing applications need enhanced computing capabilities to handle the requirements of complex and huge data processing. The Internet of Things (IoT) concept brings processing and communication features to devices. In addition, the Cloud Computing paradigm provides resources and infrastructures for performing the computations and outsourcing the work from the IoT devices. This scenario opens new opportunities for designing advanced IoT-based applications, however, there is still much research to be done to properly gear all the systems for working together. This work proposes a collaborative model and an architecture to take advantage of the available computing resources. The resulting architecture involves a novel network design with different levels which combines sensing and processing capabilities based on the Mobile Cloud Computing (MCC) paradigm. An experiment is included to demonstrate that this approach can be used in diverse real applications. The results show the flexibility of the architecture to perform complex computational tasks of advanced applications.