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Selfish node detection in ad hoc networks based on fuzzy logic

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Abstract

Generally, the ad hoc networks work correctly only if all nodes cooperate in the routing and forwarding of the packets. However, in some cases, selfish nodes are hesitated to share the resources with their neighbors and attempt to preserve their own assets, since splitting nodes into two distinct groups including absolute cooperator and absolute selfish and avoiding the selfish nodes group in network activities will be degraded network quality of service. In this paper, we propose a novel fuzzy-based selfish node detection approach for ad hoc networks that operates based on the social network principles. In the social-based proposed approach, the nodes’ status will be determined by three variables, i.e., hop count (H.C.), residual energy (Re-En.), and cooperation history (Co-h.), through fuzzy interface process to prevent the isolating of the likely selfish nodes from the network and maintain more active node in the network as possible. The MobEmu tool is used to evaluate the effectiveness of the proposed approach in terms of the hit rate, delivery latency, delivery cost, and average hop count. The simulation results reveal that the proposed approach has a significant improvement in contrast to counterparts using UPB 2011 and UPB 2012 traces.

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Authors and Affiliations

  1. Department of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran

    Homa Hasani & Shahram Babaie

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  1. Homa Hasani
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  2. Shahram Babaie
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Correspondence to Shahram Babaie.

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Hasani, H., Babaie, S. Selfish node detection in ad hoc networks based on fuzzy logic. Neural Comput & Applic 31, 6079–6090 (2019). https://doi.org/10.1007/s00521-018-3431-3

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