Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Dynamic Reverse Route in Ad Hoc on Demand Distance Vector Routing Protocol

Authors: Megat F. Zuhairi; David A. Harle;

Dynamic Reverse Route in Ad Hoc on Demand Distance Vector Routing Protocol

Abstract

A Mobile Ad hoc Network (MANET) is a heterogeneous network; a collection of mobile wireless devices with different characteristics communicating in a random network topology. Much research over-simplifies by assuming that all nodes are homogeneous, i.e., possess identical transmission power, reception quality and signal to noise ratio, which is not realistic. Such conditions are ideal and not often found in real world situations. Some existing routing protocols are also equally restricted in that equal bidirectional links and symmetrical paths are implicit in their operation. This again is not always the case and thus such algorithms are not able to react to or exploit the full connectivity of the network. Some previous researchers have shown that a unidirectional rather than a bidirectional approach can be used to advantage and improve MANET performance in terms of a number of key performance metrics (e.g., shortest path, average end-to-end delay, and packet delivery ratio). In this paper, a new Dynamic Reverse Route Ad hoc on Demand Distance Vector (DRAODV) routing protocol is proposed. This scheme computes routing path with the lowest delay while providing resilience and fast reverse route recovery when subjected to unidirectional links. Simulation results show that DR-AODV perform well in scenarios where the numbers of unidirectional links are exceptionally high when compared to basic AODV and AODV-Blacklist schemes.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!