Three-tier neural model for service provisioning over collaborative flying ad hoc networks

Vishal Sharma*, Rajesh Kumar

*Corresponding author for this work

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Collaboration among different ad hoc networks allows the formation of efficient guided networks. One of the such collaborative networks is formed between aerial ad hoc network and terrestrial ad hoc network. Simultaneous operation of both the networks can resolve complex missions collaboratively. Such cooperation can be achieved by deploying service models that allow efficient integration of distributed networks. The performance of service model can be enhanced by incorporating neural schema that provides a layered interface and cognitive transfers with higher accuracy. In this paper, a 3-tier neural model is proposed that allows the formation of guided ad hoc network. A layered network model is formulated that provides service-based integration of different network components required for the functioning of aerial guided ad hoc network along with provision for efficient service provisioning over flying ad hoc networks. The effectiveness and utility of the proposed model are demonstrated using simulations. Simulation study demonstrates that the proposed approach yields significant improvements in terms of service identification accuracy up to 13.6 %, fault identification up to 17.7 %, cognitive receival up to 23.56 %, fault tolerance up to 13.5 %, network errors reduction up to 34.11 %, and overheads up to 10 % compared to existing approaches.

Original languageEnglish
Pages (from-to)837-856
Number of pages20
JournalNeural Computing and Applications
Volume29
Issue number10
DOIs
Publication statusPublished - 20 Sep 2016
Externally publishedYes

Keywords

  • Collaborative network
  • Flying ad hoc network
  • Service provisioning
  • Three-tier neural model

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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