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Rule Based (Forward Chaining/Data Driven) Expert System for Node Level Congestion Handling in Opportunistic Network

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Abstract

Opportunistic networks are part of the most popular categories of Mobile Ad hoc networks. Opportunistic networks usually deal with discontinuous path from source to the destination and therefore such networks suffers from numerous key challenges. One of these challenge is the selection of best custodian node that can store messages at its buffer until a destination node is found. The important features of the Delay Tolerant Network (DTN) are a selection of the best forwarding nodes and co-ordination among the nodes to deliver the packets to their destination in an efficient manner with less loss and maximum delivery rate. Therefore, in this paper, a rule based efficient expert system has been proposed to address and handle storage level congestion issues. The proposed technique has been tested and validated via Opportunistic network environment and compared with MaxProp protocol.

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Authors and Affiliations

  1. Department of Computing, Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan

    Ahthasham Sajid

  2. Department of Computer Science, University of Lahore, Islamabad Campus, Pakistan

    Khalid Hussain

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  1. Ahthasham Sajid
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  2. Khalid Hussain
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Correspondence to Ahthasham Sajid.

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Sajid, A., Hussain, K. Rule Based (Forward Chaining/Data Driven) Expert System for Node Level Congestion Handling in Opportunistic Network. Mobile Netw Appl 23, 446–455 (2018). https://doi.org/10.1007/s11036-018-1016-0

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  • DOI: https://doi.org/10.1007/s11036-018-1016-0

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