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A Reliable Data Transmission in EAACK MANETs Using Hybrid Three-Tier Competent Fuzzy Cluster Algorithm

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Abstract

Ad hoc networks like MANETs can be made manageable by clustering the network where a cluster head is given the responsibility of an arbitrator. To make clustering more efficient, fuzzy clusters can be used to ensure faster cluster formation and reliable data delivery. A wireless sensor network such as MANETs can then have an extended lifetime with the workload being distributed evenly. This paper proposes a competent fuzzy approach in cluster formation. The proposed approach has two significant stages, one which helps in the formation of fuzzy clusters and the other introduces a 3-level filtering technique. The former makes MANETs efficient and manageable and the latter helps in identifying trusted nodes for communication. The modified Fuzzy C-means clustering technique is entrusted with the task of assigning membership to each and every data point linked to each singular cluster center used in the formation of clusters, while a special filter scheme is used to distinguish between the trusted nodes and the malicious nodes. This helps is determining the identity and authenticity of the cluster members’. Eventually only the trusted nodes will be part of the communication range. The filter based fuzzy clustering approach can be used to determine the perfect nodes, which will reflect in the network performance. This also helps in improving the packet transmission in ad hoc networks like MANETs.

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Authors and Affiliations

  1. Thiruthangal Nadar College, Chennai, Tamil Nadu, 600051, India

    J. Sathiamoorthy

  2. ST Hindu College, Nagercoil, Tamil Nadu, 629002, India

    B. Ramakrishnan

Authors
  1. J. Sathiamoorthy
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  2. B. Ramakrishnan
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Correspondence to J. Sathiamoorthy.

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Sathiamoorthy, J., Ramakrishnan, B. A Reliable Data Transmission in EAACK MANETs Using Hybrid Three-Tier Competent Fuzzy Cluster Algorithm. Wireless Pers Commun 97, 5897–5916 (2017). https://doi.org/10.1007/s11277-017-4817-8

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  • DOI: https://doi.org/10.1007/s11277-017-4817-8

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