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Lossless Data Compression and Blockchain-Assisted Aggregation for Overlapped-Clusters Sensor Networks

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Abstract

The compression on replicated string characters of large-sized data diminishes the consumption of the sensor’s memory storage and power dissipation in the wireless sensor networks (WSNs). The intruders attack during data transmission in the clusters that humiliating the throughput rate. Therefore, we present a lossless compression and blockchain-assisted aggregation (CBA) with the rating-based energy-efficient cluster overlapping (REEC Overlap) method for effective resource utilization and data integrity. The Lempel–Ziv–Welch (LZW) method compresses the sensed data, and the source node transmits the packets to cluster head on the routes established by ad-hoc on-demand distance vector (AODV) routing protocol. Head node aggregates the data using consortium blockchain in which a federated consensus mechanism validates the blocks. Eventually, the base station (BS) decodes the received data packets using LZW decompression to recover the actual data. Simulation results of CBA-REEC Overlap obtain the decreased energy power consumption with a better compression ratio and the minimized network overhead compared to existing conventional algorithms.

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Character strings and other properties are given in simulation parameters.

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Authors and Affiliations

  1. Research and Development Centre, Bharathiar University, Coimbatore, 641046, Tamilnadu, India

    Karthik Soundarapandian

  2. Department of Computer Science, Alagappa Government Arts College, Karaikudi, 630003, Tamilnadu, India

    Ashok Kumar Ambrose

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Soundarapandian, K., Ambrose, A.K. Lossless Data Compression and Blockchain-Assisted Aggregation for Overlapped-Clusters Sensor Networks. Wireless Pers Commun 131, 1313–1337 (2023). https://doi.org/10.1007/s11277-023-10482-5

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