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Seed: secure and energy efficient data-collection method for IoT network

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Abstract

With increase in the demand of better data collection from various IoT devices, researchers are showing more interests in providing the enhanced data collection methods to the users. Many data collection methods have proposed, but still more efficiency and better results are required. In this paper, a novel and secure data collection method from IoT devices has proposed. In this paper, SEED (Secure and energy efficient data-collection) method has discussed. It includes creation of aggregator nodes and path discovery algorithms. Integrity of data is analysed by using MD5 hashing technique. This hashing technique is one of the most usable techniques as compared to other. In the regard of implementation of this novel secure and energy data collection method, MD5 is used to just hash the processing data in the entire process. In earlier scenarios, there were various issues regarding fault tolerance, congestion, energy wastage, path discovery and load balancing in a network. To resolve these issues, updating of the aggregator node is done after each failure or transmission. Transmission of huge amount of data can create different challenges in network. This research is completely different from other existing researches of data collection with routing as it deals with sink node by using a unique path discovery algorithm. This proposed mechanism provides the better results for all of the nodes and network in terms of energy efficiency and throughput.

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Acknowledgments

This Work is funded by Lovely Professional University, Punjab, India.

The work is also funded by the Researchers Supporting Project number (RSP-2020/250), King Saud University, Riyadh, Saudi Arabia.

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Authors and Affiliations

  1. Lovely Professional University, Phagwara, Punjab, India

    Sofia Arora, Isha Batra & Arun Malik

  2. The Papua New Guinea University of Technology, Lae, 411, Papua New Guinea

    Ashish Kr. Luhach

  3. King Saud University, Riyadh, Saudi Arabia

    Waleed S Alnumay

  4. Department of CS, Tennessee State University, Nashville, TN, USA

    Pushpita Chatterjee

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  1. Sofia Arora
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Arora, S., Batra, I., Malik, A. et al. Seed: secure and energy efficient data-collection method for IoT network. Multimed Tools Appl 82, 3139–3153 (2023). https://doi.org/10.1007/s11042-022-13614-4

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