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Unconventional Prediction Algorithm for Quick Route Convergence and Stability in MANET

  • Mehajabeen Fatima
  • T. K. Bandopadhyay
  • Roopam Gupta
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 810)

Abstract

Mobile Ad hoc Network (MANET) is infrastructureless network. Data between source and destination can be communicated through intermediate nodes. Nodes can move randomly and there is no central administration in ad hoc networking. Connectivity with corresponding nodes can be lost due to high mobility, battery power consumption, traffic, and node depletion. This results in repeated route failure. This intrudes the node association and degrades the network’s ability to offer the services to its colleague nodes. This makes route maintenance difficult, reduces the stability of the network, and hampers the flow of data. Information related to the route collapse cause can be used to improve the stability of the route. On this basis, Advance AODV (A-AODV) is proposed based on unconventional prediction algorithms without and with fuzzy logic to converge the route quickly for continuos data transmission. In this paper, the modifications have been made to the Ad hoc on-demand distance vector (AODV) route maintenance mechanism. Simulations are performed on qualnet 5.0. This paper covers comparative performance analysis of AODV and A-AODV techniques in reference of mobility and traffic. The results illustrated that the route stability can be enhanced through fuzzy prediction algorithm.

Keywords

MANET Cross-layer approach Route failure Route convergence Prediction algorithm Route stability 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Mehajabeen Fatima
    • 1
  • T. K. Bandopadhyay
    • 2
  • Roopam Gupta
    • 3
  1. 1.SIRTBhopalIndia
  2. 2.BISTBhopalIndia
  3. 3.RGPVBhopalIndia

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