Expert System for Handling Congestion in Opportunistic Network

Ahthasham Sajid; Khalid Hussain

Research Article

Expert System for Handling Congestion in Opportunistic Network

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@ARTICLE{10.4108/eai.22-3-2018.154386,
    author={Ahthasham Sajid and Khalid Hussain},
    title={Expert System for Handling Congestion in Opportunistic Network},
    journal={EAI Endorsed Transactions on Mobile Communications and Applications},
    volume={3},
    number={13},
    publisher={EAI},
    journal_a={MCA},
    year={2018},
    month={3},
    keywords={DTN, MANETs, IC},
    doi={10.4108/eai.22-3-2018.154386}
}

Ahthasham Sajid
Khalid Hussain
Year: 2018
Expert System for Handling Congestion in Opportunistic Network
MCA
EAI
DOI: 10.4108/eai.22-3-2018.154386

Ahthasham Sajid¹^,*, Khalid Hussain²

1: Department of Computing Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology Islamabad, Pakistan
2: Department of Computer Science Lahore University Islamabad Campus, Pakistan

*Contact email: gullje2008@hotmail.com

Abstract

Opportunistic networks are one of the most popular categories of mobile Adhoc networks. These types of networks usually have to deal with intermittent disconnected path from source to the destination most of the time therefor suffers from numerous key challenges for successful custody transfer to be done between encounter nodes. There are numerous challenges faced due to such disconnectivity within the network but one of the key challenges is that which intermediate node will be selected as custody transfer and till how much time custodian node can carry messages as it will have storage constraints until a destination node is found. In this research study the same problem has been addressed via proposing a rule based expert system that will have better coordination among intermediate nodes for the transmission with less drop and better delivery ratio. Proposed technique has been tested and validated via ONE simulator and compared with MaxProp protocol.

Keywords: DTN, MANETs, IC

Received: 26th Nov 2017
Accepted: 19th Feb 2018
Published: 22nd Mar 2018
Publisher: EAI

: http://dx.doi.org/10.4108/eai.22-3-2018.154386

Copyright © 2018 Ahthasham Sajid and Khalid Hussain, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.