Development of Task Deployment Tool for Operating IoT Devices

  • Authors

    • Lei Hang
    • Do-Hyeun Kim
    2018-12-13
    https://doi.org/10.14419/ijet.v7i4.39.24375
  • Internet of Things, Business Process Modeling, Task Deployment, CoAP, Mobile.

  • Abstract

    Background/Objectives: Business processes utilize IoT data to interact with the data in physical world, to make informed decisions, improve their execution, and adjust to set context changes.

    Methods/Statistical analysis: A novel IoT task deployment tool is proposed in this paper for efficiently executing and allocating the business process model to real IoT devices. The designed tool can extract the operational sequence from the task editor and interact directly with remote IoT devices to perform defined tasks.

    Findings:An application in a mobile device is implemented to validate the feasibility of the proposed approach, in which CoAP protocol is used for the communication. The results show that the proposed task deployment tool can retrieve and parse tasks efficiently.

    Improvements/Applications: In future, we will conduct real experiment with more IoT devices to verify the proposed model for task deployment.

     

     

  • References

    1. [1] Gubbi J, Buyya R, Marusic S, Palaniswami M. Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems. 2013 Sep 1;29(7):1645-60.

      [2] Hang L, Jin W, Yoon H, Hong Y, Kim D. Design and Implementation of a Sensor-Cloud Platform for Physical Sensor Management on CoT Environments. Electronics. 2018 Aug 7;7(8):140.

      [3] Guinard D, Trifa V, Karnouskos S, Spiess P, Savio D. Interacting with the soa-based internet of things: Discovery, query, selection, and on-demand provisioning of web services. IEEE transactions on Services Computing. 2010 Feb 10(3):223-35.

      [4] Li W, Delicato FC, Pires PF, Lee YC, Zomaya AY, Miceli C, Pirmez L. Efficient allocation of resources in multiple heterogeneous wireless sensor networks. Journal of Parallel and Distributed Computing. 2014 Jan 1;74(1):1775-88.

      [5] Domingos D, Martins F, Cândido C, Martinho R. Internet of Things Aware WS-BPEL Business Processes Context Variables and Expected Exceptions. J. UCS. 2014 Aug 1;20(8):1109-29.

      [6] Ahmad S, Hang L, Kim DH. Design and Implementation of Cloud-Centric Configuration Repository for DIY IoT Applications. Sensors. 2018 Feb 6;18(2):474.

      [7] Spiess P, Vogt H, Jutting H. Integrating sensor networks with business processes. InReal-World Sensor Networks Workshop at ACM MobiSys 2006 Jun 19.

      [8] Decker C, Riedel T, Beigl M, De Souza LM, Spiess P, Muller J, Haller S. Collaborative business items.

      [9] George AA, Ward PA. An architecture for providing context in WS-BPEL processes. InProceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds 2008 Oct 27 (p. 22). ACM.

      [10] Meyer S, Sperner K, Magerkurth C, Pasquier J. Towards modeling real-world aware business processes. InProceedings of the Second International Workshop on Web of Things 2011 Jun 12 (p. 8). ACM.

      [11] Yousfi A, Bauer C, Saidi R, Dey AK. uBPMN: A BPMN extension for modeling ubiquitous business processes. Information and Software Technology. 2016 Jun 1;74:55-68.

      [12] Glombitza N, Lipphardt M, Werner C, Fischer S. Using graphical process modeling for realizing SOA programming paradigms in sensor networks. InWireless On-Demand Network Systems and Services, 2009. WONS 2009. Sixth International Conference on 2009 Feb 2 (pp. 61-70). IEEE.

      [13] Casati F, Daniel F, Dantchev G, Eriksson J, Finne N, Karnouskos S, Montero PM, Mottola L, Oppermann FJ, Picco GP, Quartulli A. Towards business processes orchestrating the physical enterprise with wireless sensor networks. InProceedings of the 34th International Conference on Software Engineering 2012 Jun 2 (pp. 1357-1360). IEEE Press.

      [14] Nallapaneni Manoj Kumar, Pradeep Kumar Mallick,†The Internet of Things: Insights into the building blocks, component interactions, and architecture layersâ€, Elsevier Procedia Computer Science Journal , Volume 132, Pages 109-117, 2018, ISSN:1877-0509, UGC Sl No: 46138 and 48229, DOI: https://doi.org/10.1016/j.procs.2018.05.170.

  • Downloads

  • How to Cite

    Hang, L., & Kim, D.-H. (2018). Development of Task Deployment Tool for Operating IoT Devices. International Journal of Engineering & Technology, 7(4.39), 555-560. https://doi.org/10.14419/ijet.v7i4.39.24375

    Received date: 2018-12-19

    Accepted date: 2018-12-19

    Published date: 2018-12-13