Data Reduction Techniques in Wireless Sensor Networks with Internet of Things

Authors

  • S. Venkatesh Assistant Professor, Department of Data Science and Business Systems, School of Computing, SRM Institute of Science and Technology, kattankulathur, Chennai
  • Shiv Prasad Kori HOD & Department of Electronics and Telecommunication, Government Polytechnic College, Raisen, Madhya Pradesh
  • P. William Department of Information Technology, Sanjivani College of Engineering, Savitribai Phule Pune University, Pune
  • M. L. Meena Assistant Professor, Department of Electronics Engineering, Rajasthan Technical University, Kota
  • A. Deepak Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamilnadu
  • Dler Salih Hasan Computer Science and Information Tech., College of Science / University of Salahaddin-Erbil, Iraq
  • Anurag Shrivastava Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamilnadu

Keywords:

Wireless Sensor Networks, Internet of Things, Sensor Node, Data Compression, MDL

Abstract

Data is sensed and routed by nodes, which are sometimes referred to as sensors and sinks, in a wireless sensor network using a number of protocols that alter based on the intended function of the network. These protocols vary from network to network. the use of wireless sensor networks (WSN) in a variety of different sectors, including the military, healthcare facilities, medical equipment, environmental monitoring, and other areas. In this piece, we focused our attention largely on the energy consumption of sensor nodes and the redundant storage of data. Both the number of items that are connected to the Internet of items (IoT) and the amount of data that these connected devices send will continue to quickly increase. WSN-based sensor nodes (SNs) generate some Internet of Things data and transmit it to gateways (GWs), which leads the sensor nodes to soon run out of both energy and storage space as a result of the data transfer. The majority of the approaches that have been proposed are only capable of decreasing data at a certain level of an Internet of Things architecture, such as at gateways. The Two-Tier Data Reduction (TTDR) method is strongly urged to be used by both the sensor nodes and the gateway, which, individually, stand for the network's top and bottom tiers, respectively. This results in a gradual reduction in the total number of data sets. In the end, the effectiveness of the TTDR is evaluated by utilising the OM Net++ simulator in conjunction with real sensory data. The findings that were acquired demonstrate how successful the strategy that was recommended was at both transferring data and utilising energy.

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Published

13.12.2023

How to Cite

Venkatesh, S. ., Kori, S. P. ., William, P. ., Meena, M. L. ., Deepak, A. ., Hasan, D. S. ., & Shrivastava, A. . (2023). Data Reduction Techniques in Wireless Sensor Networks with Internet of Things. International Journal of Intelligent Systems and Applications in Engineering, 12(8s), 81–92. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4098

Issue

Vol. 12 No. 8s (2024)

Section

Research Article

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