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Journal : Journal of Information Technology and Computer Science

Developing Actor-Based Middleware as Collector System for Sensor Data in Internet of Things (IoT) Trisnawan, Primantara Hari; Bakhtiar, Fariz Andri; Pramukantoro, Eko Sakti
Journal of Information Technology and Computer Science Vol. 5 No. 1: April 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3329.019 KB) | DOI: 10.25126/jitecs.202051101

Abstract

The use of Internet of Things (IoT) plays an important role in supporting wireless communication for middleware in collecting data sensors. An actor-based middleware is designed to bridge protocol differences between cloud and sensor nodes. This middleware also acts as an initiator in accessing data from several sensor nodes, and then sending data that has been collected to the cloud. Incorporating the differences of communication protocols and data formats between sensor nodes and cloud is the responsibility of middleware. This Middleware acts as an actor by acting proactively accessing data from each sensor node, so that it can facilitate the completion of sending data from the sensor node to the middleware by avoiding from "signal collisions” among sensor nodes. After the data is collected in the middleware, the data is sent to the cloud using the Websocket or HTTP protocol above the TCP / IP protocol. The performance of the system is evaluated based on the success of the middleware bridging communication between sensor nodes and the cloud, as well as the readability of IoT data sensors that have been adjusted by cloud. The test results show that built-in middleware can bridge protocols between cloud and sensor nodes. In addition, the Websocket usage protocol produces a lower delay value than the MQTT and CoAP protocols.
Cloud-based Middleware for Syntactical Interoperability in Internet of Things Pramukantoro, Eko Sakti; Bakhtiar, Fariz Andri
Journal of Information Technology and Computer Science Vol. 5 No. 1: April 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1552.039 KB) | DOI: 10.25126/jitecs.202051148

Abstract

Heterogeneity of protocol communications, data formats, data structure, and hardware specifications on the Internet of things can lead to an Interoperability problem. The solution provides middleware that capable to work in heterogeneity communications, data formats, etc. This paper proposed. A cloud-based middleware that provides a communication interface to receive data from sensor nodes based on Restful and CoAP. Received data then stored in heterogenous IoT data storage based on the NoSQL database. From experiment and testing, interoperability testing methodology was used. The result shows proposed middleware can receive data from both protocols. The received data could store based on structure data or unstructured data on IoT data storage.
Internet of Things (IoT) Cloud Platform Using MQTT End-to-Cloud Architecture Bakhtiar, Fariz Andri; Habibi, Moh. Wildan; Bhawiyuga, Adhitya; Basuki, Achmad
Journal of Information Technology and Computer Science Vol. 6 No. 3: December 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1215.922 KB) | DOI: 10.25126/jitecs.202163319

Abstract

IoT devices are constrained in computation and storage, therefore cannot store all long-term obtained data or perform complex computations. Shifting those jobs to cloud platform are feasible, yet rising heterogeneity and security issues. This study proposes an IoT cloud platform to facilitate communication among heterogeneous devices and the cloud while ensuring devices’ validity. It uses publish/subscribe paradigm with an end-to-cloud architecture and HTTP-based auth server. The proposed system has successfully addressed heterogeneity and security issues. Performance tests conclude that the fewer publishers publish data simultaneously, the smaller the delay. Moreover, the system performs better at up to 250 publishers as the average delay is under 1000 ms, compared to 500 publishers that has average delay above 1000 ms. On its scalability, in 250-concurrent-publishers experiment, the system affords 191 publishers responded in under one second with 100% success rate. In 500-concurrent-publishers one, 187 responded in under one second with 99% rate.