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

被引：4

作者：

Sajid, Ahthasham ^{[1
]}

Hussain, Khalid ^{[2
]}

机构：

[1] Shaheed Zulfiqar Ali Bhutto Inst Sci & Technol, Dept Comp, Islamabad, Pakistan

[2] Univ Lahore, Dept Comp Sci, Islamabad Campus, Lahore, Pakistan

来源：

MOBILE NETWORKS & APPLICATIONS | 2018年 / 23卷 / 03期

关键词：

Opportunistic network; Expert system; Delay tolerant network;

D O I：

10.1007/s11036-018-1016-0

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：446 / 455

页数：10

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