Fuzzy Logic Based Packet Dropping Detection Approach for Mobile Ad-Hoc Wireless Network

  • Sheevendra SinghEmail author
  • Isha Sharma
  • Praneet SaurabhEmail author
  • Ritu Prasad
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1057)


Mobile ad hoc network (MANET) is a lively network that is self configuring in nature because of its mobility characteristics. MANET plays an important role in situations where fixed wired pre-defined backbone cannot be created or remains more costly. MANET brings ease and flexibility but at the same time it also introduces various limitations. This paper proposes Fuzzy logic based efficient packet dropping detection approach (FL-EPDDA) for MANET to overcome that challenges of malicious nodes in MANET. FL-EPDDA use fuzzy inference system (FIS) to identify malicious nodes in MANET. FIS uses three input parameter packet delivery ratio, packet forward and residual energy of node. FIS classifies the network nodes weather it is malicious or not with the help of these inputs. FL-EPDDA identifies the above discussed activities and it also discovers a trusted and secure path for secure data transmission. FL-EPDDA very efficiently classifies normal working mobile nodes and malicious nodes within MANET. Experimental are performed under parameters like packet delivery ratio, average throughput and packet drop rate with variation in malicious nodes in MANET. Comparative experimental results shows the proposed FL-EPDDA outperforms current state of art AODV under all the test conditions.


Fuzzy logic FIS Malicious node MANET 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Technocrats Institute of Technology (Advance)BhopalIndia
  2. 2.Technocrats Institute of TechnologyBhopalIndia

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