Implementation SEMAR-IoT-Platform for Vehicle as a Mobile Sensor Network

Yohanes Yohanie Fridelin Panduman - Electrical Engineering Department, Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
Sritrusta Sukaridhoto - Informatics and Computer Department, Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
Anang Tjahjono - Electrical Engineering Department, Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
Rizqi Putri Nourma Budiarti - Engineering Department, Universitas Nahdlatul Ulama Surabaya, Surabaya, Indonesia


Citation Format:



DOI: http://dx.doi.org/10.30630/joiv.4.4.425

Abstract


With the rapid development of IoT technology in various fields such as smart cities and industry 4.0, the need for wireless sensor network-based systems has increased, one of which is the concept of using a vehicle as a mobile sensor network or known as VaaMSN. Many developers use the IoT platform as a cloud computing service in developing the VaaMSN system. However, not all IoT platform service providers provide monitoring features on every device and provide information such as device location, purpose, condition. Therefore, this research aims to develop an IoT Platform that can receive data and provide information on each device, making it easier to process data and control devices.  Therefore, this research aims to develop an IoT platform called the SEMAR-IoT-Platform that able to received data and provide information on each device for easier data processing and control devices.  The SEMAR-IoT-Platform integrates Big Data, Data Analytics, Machine Learning, using the principles of Extract, Transfer, and Load (ETL) for data processing and provides communication services using HTTP-POST, MQTT, and NATS.  The test results show that the system has been successfully implemented to complement a simple IoT system with an average delay time of HTTP, NATS, and MQTT communications of less than 150ms for the data storage process, and for the data visualization process has an average delay time of less than 300ms.

Keywords


Internet of Things; Internet of Things Platform; VaaMSN; Cloud Computing; Big Data; Mobile Sensing.

Full Text:

PDF

References


J. Mocnej, W. Seah, A. Pekar and I. Zolotova, "Decentralised IoT Architecture for Efficient Resources Utilisation", IFAC-PapersOnLine, vol. 51, no. 6, pp. 168-173, 2018.

Dave Evans. “The internet of things: How the next evolution of the internet is changing everythingâ€. CISCO white paper,1.2011, 1-11, 2011.

Peter Newman, "IoT Report: How Internet of Things technology growth is reaching mainstream companies and consumers." Business Insider, 28, 2019.

Ubaidillah Umar, M. Udin Harun Al Rasyid, and Sritrusta Sukaridhoto. "Distributed database semantic integration of wireless sensor network to access the environmental monitoring system." International Journal of Engineering and Technology Innovation, 8.3, 157, 2018.

S. Luthra and S. Mangla, "Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies", Process Safety and Environmental Protection, vol. 117, pp. 168-179, 2018.

D. ZHU, X. MAO and S. LIU, "Logistics Vehicle Monitoring Intelligence System", DEStech Transactions on Engineering and Technology Research, no., 2017.

S. Abdelhamid, H. Hassanein and G. Takahara, "Vehicle as a Mobile Sensor", Procedia Computer Science, vol. 34, pp. 286-295, 2014.

Y. Panduman, A. Besari, S. Sukaridhoto, R. Budiarti, R. Sudibyo and F. Nobuo, "Implementation of Integration VaaMSN and SEMAR for Wide Coverage Air Quality Monitoring", TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 16, no. 6, p. 2630, 2018.

J. Guth et al., "A Detailed Analysis of IoT Platform Architectures: Concepts, Similarities, and Differences", Internet of Things, pp. 81-101, 2017.

Y. Panduman, M. Albaab, A. Besari, S. Sukaridhoto, A. Tjahjono and R. Budiarti, "Implementation of Data Abstraction Layer Using Kafka on SEMAR Platform for Air Quality Monitoring", International Journal on Advanced Science, Engineering and Information Technology, vol. 9, no. 5, p. 1520, 2019. Available: 10.18517/ijaseit.9.5.8547.

A. Mochamad Rifki Ulil, Fiannurdin, S. Sukaridhoto, A. Tjahjono and D. Basuki, "The Vehicle as a Mobile Sensor Network base IoT and Big Data for Pothole Detection Caused by Flood Disaster", IOP Conference Series: Earth and Environmental Science, vol. 239, p. 012034, 2019.

A. Rasyid et al., "Pothole Visual Detection using Machine Learning Method integrated with Internet of Thing Video Streaming Platform", 2019 International Electronics Symposium (IES), 2019.

A. Celesti, A. Galletta, L. Carnevale, M. Fazio, A. Lay-Ekuakille and M. Villari, "An IoT Cloud System for Traffic Monitoring and Vehicular Accidents Prevention Based on Mobile Sensor Data Processing", IEEE Sensors Journal, vol. 18, no. 12, pp. 4795-4802, 2018.

K. Guo, P. Yang, D. Guo and Y. Liu, "Gas Leakage Monitoring with Mobile Wireless Sensor Networks", Procedia Computer Science, vol. 154, pp. 430-438, 2019.

M. Kim, J. Lee and J. Jeong, "Open Source Based Industrial IoT Platforms for Smart Factory: Concept, Comparison and Challenges", Computational Science and Its Applications – ICCSA 2019, pp. 105-120, 2019.

J. Ren, H. Guo, C. Xu and Y. Zhang, "Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing", IEEE Network, vol. 31, no. 5, pp. 96-105, 2017.

A. Salami and A. Yari, "A framework for comparing quantitative and qualitative criteria of IoT platforms", 2018 4th International Conference on Web Research (ICWR), 2018.

R. DUMITRU, "IoT Platforms: Analysis for Building Projects", Informatica Economica, vol. 21, no. 22017, pp. 44-53, 2017.

Y. Fridelin Panduman, S. Sukaridhoto and A. Tjahjono, "A Survey of IoT Platform Comparison for Building Cyber-Physical System Architecture", 2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2019.

M. da Cruz, J. Rodrigues, P. Lorenz, P. Solic, J. Al-Muhtadi and V. Albuquerque, "A proposal for bridging application layer protocols to HTTP on IoT solutions", Future Generation Computer Systems, vol. 97, pp. 145-152, 2019.

R. A Light, "Mosquitto: server and client implementation of the MQTT protocol", The Journal of Open Source Software, vol. 2, no. 13, p. 265, 2017.

T. team, "NATS - Open Source Messaging System | Secure, Native Cloud Application Development", Nats.io, 2020. [Online]. Available: https://nats.io/. [Accessed: 11- Nov- 2020].

C. Chang and C. Lin, "LIBSVM", ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 3, pp. 1-27, 2011.

S. Bashir, U. Qamar, F. Khan and M. Javed, "An Efficient Rule-Based Classification of Diabetes Using ID3, C4.5, & CART Ensembles", 2014 12th International Conference on Frontiers of Information Technology, 2014.

M. Schofield, "Meaningfully Judging Performance in Terms of User Experience", Weave: Journal of Library User Experience, vol. 1, no. 4, 2016.