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Detection and deletion of selfish MANET nodes-a distributed approach

Authors: Rubana Tarannum; Yogadhar Pandey;

Detection and deletion of selfish MANET nodes-a distributed approach

Abstract

MANET nodes use cooperative multi-hope packet forwarding technique hence they also perform the functionality of router. The individual nodes are constrained by resources such as battery life, limited network bandwidth and CPU cycles. To save its resources a node may deny to forward packets to others for saving the resources. This could lead to degradation of network performance. To mitigate this problem, many solutions have been proposed but there were little problems such as false detection because of ambiguity and receiver collision. In this paper, we propose a new distributed and cooperative approach which insists every participating node to detect the misbehaving node. Using this approach a node can reintroduce into the network and also can reenter which were removed due to false detection. To implement the approach, C++ has been used and testing has been done by Network Simulator NS2.

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    influence
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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!
6
Average
Average
Average
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