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An approach based on modified multiple attribute decision making for optimal node deployment in wireless sensor networks

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Abstract

The importance of Wireless Sensor Network (WSN) research is enhanced by the digital era. Many authors propose various issues, each with its own set of remedies. The real world deployment of WSN with cost, area coverage, Cluster Head (CH) coverage, and sink connectivity constraints necessitates an assessment of total sensor count for deployment with CH coverage and sink connectivity circumstances. The amount of total area sensed by deployed sensor nodes is referred to as area coverage. Sink connectivity indicates that the CHs are connected to the sink and can convey the data directly without amplification. CH coverage means that the sensor node can transfer the sensed data to its CH without amplification. AHP-M-TOPSIS is a hybrid Multi Attribute Decision Making (MADM) method for selecting the best option with the least cost and the most efficient coverage and connectivity. In the selected AHP-M-TOPSIS we pass relevant parameters values to choose appropriate solution. The numbers of dead nodes, residual energy are all included in a comparison of the AHP-M-TOPSIS, LEACH, SNPCM, BASE, and SAW with three parameters protocols. The results reveal that the AHP-M-TOPSIS protocol outperforms the other existing protocols.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, MNNIT Allahabad, Prayagraj, India

    Lekhraj, Alok Kumar & Anoj Kumar

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  1. Lekhraj
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  2. Alok Kumar
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  3. Anoj Kumar
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Correspondence to Lekhraj.

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Lekhraj, Kumar, A. & Kumar, A. An approach based on modified multiple attribute decision making for optimal node deployment in wireless sensor networks. Int. j. inf. tecnol. 14, 1805–1814 (2022). https://doi.org/10.1007/s41870-022-00919-8

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  • DOI: https://doi.org/10.1007/s41870-022-00919-8

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