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

• Published in: PloS one Vol. 11; no. 5; p. e0155820
• Main Authors: Alvarez, Carlos F, Palafox, Luis E, Aguilar, Leocundo, Sanchez, Mauricio A, Martinez, Luis G
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 24.05.2016; Public Library of Science (PLoS)
• Subjects: Accuracy; Ad hoc networks; Algorithms; Analysis; Biology and Life Sciences; Communication; Computer and Information Sciences; Computer Communication Networks; Computer Simulation; Cooperation; Engineering; Engineering and Technology; Entropy; Entropy (Information theory); Medicine and Health Sciences; Mobile ad hoc networks; Mobile communication systems; Models, Theoretical; Nodes; Physical Sciences; Planning; Publishing industry; Reliability analysis; Sensors; Social Sciences; Stability analysis; Traffic; Traffic congestion; Traffic speed; Traffic volume; Wireless networks; Wireless Technology; New York; United States; Mexico; Baja California Mexico; United States > US
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0155820

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 disconnection entropy disorder. Packet delivery ratio is associated to the metric detecting a strong relationship, enabling the use of the link disconnection entropy disorder to evaluate the stability of a node to communicate with other nodes. To expand the utilization of the link entropy disorder, we identified nodes with higher speeds in network simulations just by using the link entropy disorder.