Unknown

Dataset Information

Using Link Disconnection Entropy Disorder to Detect Fast Moving Nodes in MANETs.


ABSTRACT: Mobile ad-hoc networks (MANETs) are dynamic by nature; this dynamism comes from node mobility, traffic congestion, and other transmission conditions. Metrics to evaluate the effects of those conditions shine a light on node's behavior in an ad-hoc network, helping to identify the node or nodes with better conditions of connection. In this paper, we propose a relative index to evaluate a single node reliability, based on the link disconnection entropy disorder using neighboring nodes as reference. Link disconnection entropy disorder is best used to identify fast moving nodes or nodes with unstable communications, this without the need of specialized sensors such as GPS. Several scenarios were studied to verify the index, measuring the effects of Speed and traffic density on the link disconn

SUBMITTER: Alvarez CF 

PROVIDER: S-EPMC4878810 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature