Heterogeneous Device Communication Models and Data Management in IoT

Authors

  • P. Ashwini  Assistant Professor, Department of Computer Science& Engineering, Teegala Krishna Reddy Engineering College, Hyderabad, Telangana, India
  • RojaRamani A  Assistant Professor, Department of Computer Science& Engineering, Teegala Krishna Reddy Engineering College, Hyderabad, Telangana, India

Keywords:

Internet of Things, Heterogeneous Device Communication Models, IOT Data Management. IOT Networking Technologies.

Abstract

Internet of Things is a platform where devices become smarter, processing becomes intelligent, and communication becomes informative. Internet of things (IoT) is a combination of spatially distributed smart objects which have sensing capabilities and embedded identification through RFID technology.IoT devices are highly heterogeneous in terms of underlying communication protocols, data formats, and technologies. One IoT device connects to another to transmit information using Internet transfer protocols. Communication between heterogeneous devices can occur securely and reliably.IoT platforms serve as the bridge between the devices' sensors and the data networks. The Internet of things requires huge scalability in the network space to handle the surge of devices. In this paper, described some widely adopted technologies and standards for IoT networking. I also explain when you might want to choose one network protocol over another. I then discuss key considerations and challenges that are related to networking within IoT, including range, bandwidth, power usage, intermittent connectivity, interoperability, and security.

References

  1. Vermesan O., Harrison M., Vogt H., Kalaboukas K., Tomasella M., Wouters K., Gusmeroli S., Haller S. Internet of Things Strategic Research Roadmap. IoT European Research Cluster; Brussels, Belgium: 2009.
  2. Pujolle G. An Autonomic-Oriented Architecture for the Internet of Things. Proceedings of IEEE John Vincent Atanasoff International Symposium on Modern Computing (JVA 2006); Sofia, Bulgaria. 3-6 October 2006; pp. 163-168.
  3. Wu G., Talwar S., Johnsson K., Himayat N., Johnson K.D. M2M: From mobile to embedded internet. IEEE Commun. Mag. 2011;49:36-43.
  4. Cooper J., James A. Challenges for database management in the internet of things. IETE Tech. Rev. 2009;26:320-329.
  5. IoT-A . Converged Architectural Reference Model for the IoT v2.0. SAP; Switzerland: 2012.
  6. Luo C., Wu F., Sun J., Chen C.W. Compressive Data Gathering for Large-Scale Wireless Sensor Networks. Proceedings of the 15th Annual International Conference on Mobile Computing and Networking (MobiCom 2009); Beijing, China. 20-25 September 2009; pp. 145-156.
  7. Chen L., Tseng M., Lian X. Development of foundation models for Internet of Things. Front. Comput. Sci. China. 2010;4:376-385.
  8. Ramakrishnan R., Gehrke J. Database Management Systems. 3rd ed. McGraw-Hill; New York, NY, USA: 2002.
  9. Cattell R. Scalable SQL and NoSQL data stores. ACM SIGMOD Rec. 2010;39:12-27.
  10. Ozsu M.T., Valduriez P. Principles of Distributed Database Systems. 3rd ed. Springer; New York, NY, USA: 2011.
  11. Bizarro P., Marques P. The Internet Contains Thousands of Poorly Explored FUTS Data. Proceedings of 1st International Workshop on Database Architectures for the Internet of Things (DAIT 2009); Birmingham, UK. 6 July 2009.
  12. Wang J., Feng L., Xue W., Song Z. A survey on energy-efficient data management. ACM SIGMOD Rec. 2011;40:17-23.
  13. Pungila C., Fortis T.-F., Aritoni O. Benchmarking database systems for the requirements of sensor readings. IETE Tech. Rev. 2009;26:342-349.
  14. Bowman I.T., Bumbulis P., Farrar D., Goel A.K., Lucier B., Nica A., Paulley G.N., Smirnios J., Young-Lai M. SQL Anywhere: A Holistic Approach to Database Self-Management. Proceedings of IEEE 23rd International Conference on Data Engineering Workshop (ICDE 2007); Istanbul, Turkey. 17-20 April 2007; pp. 414-423.
  15. Sen R., Ramamritham K. Efficient Data Management on lightweight Computing Devices. Proceedings of the International Conference on Data Engineering (ICDE 2005); Tokyo, Japan. 5-8 April 2005; pp. 419-420.

Downloads

Published

2018-02-28

Issue

Section

Research Articles

How to Cite

[1]
P. Ashwini, RojaRamani A, " Heterogeneous Device Communication Models and Data Management in IoT, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 1, pp.420-424, January-February-2018.