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Trust Based Model for Mobile Ad-Hoc Network in Internet of Things

  • Upendra SinghEmail author
  • Mukul Shukla
  • Ashish Kumar Jain
  • Mohan Patsariya
  • Ravikant Itare
  • Sakshi Yadav
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 98)

Abstract

Internet of things (IoT) is the internet connectivity of heterogeneous network with physical devices. The main idea of IoT is to establish communication of smart devices with global communication. These wireless networks can be wireless sensor network (WSN), Wi-Fi and mobile ad-hoc network (MANET). To make IoT a reality for smart and user-friendly environment as well as economical, it needs compatibility of IoT with wireless sensor network (WSN) and mobile ad-hoc network (MANET). This MANET is an infrastructure less network that provides dynamic environment to the nodes that makes easy deployment and less configuration of the network. During incorporation of wireless networks with physical devices improves the performance of the system in terms of efficiency, reliability and security. This combination of IoT with MANET will be beneficial for the development of predictive model. This paper proposed a trust-based model for IoT and MANET which calculates trust value for a node by combining both direct and indirect trust opinion. For combining recommended trust evidences, ARMA/GARCH theory has been used which is helpful for the prediction of trust value for each node in multi-step. To increase the security and reliability of the proposed model a protocol is also designed which ensures end-to-end delivery through trusted nodes. Result shows that proposed approach improves the value of throughput and packet delivery ratio while it reduces the end-to-end delay. As compare to existing approach PDR value increases by 7%, End-to-end delay decreases by 20% and throughput increases by 7%. Also it has been observed that proposed approach improves efficiency and security.

Keywords

Internet of things Mobile ad-hoc network ARMA theory GARCH theory Trust value 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Upendra Singh
    • 1
    Email author
  • Mukul Shukla
    • 1
  • Ashish Kumar Jain
    • 2
  • Mohan Patsariya
    • 3
  • Ravikant Itare
    • 5
  • Sakshi Yadav
    • 4
  1. 1.Shri Govindram Seksaria Institute of Technology and ScienceIndoreIndia
  2. 2.Institute of Engineering and Technology, DAVVIndoreIndia
  3. 3.BSF Polytechnic CSMTTekanpurIndia
  4. 4.TechbeanssolutionIndoreIndia
  5. 5.TCSIndoreIndia

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