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Proceedings Paper

A new approach for determining reliability of unmanned vehicles network using fuzzy logic
Author(s): Adam Mustapha; Harpreet Singh; Kassem Saab; Suresh Rai; Grant R. Gerhart
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Paper Abstract

Some interest has recently been shown in determining the reliability of unmanned ground vehicles network. Based on the predicted reliability, a commander can take appropriate action in the battle field operation for unmanned ground vehicles network. The reliability should include coordination and collaboration of a number of different unmanned ground vehicles. Some approaches for determining the reliability of unmanned vehicles have been discussed in the literatures. In this paper, we propose a new algorithm by which the reliability of unmanned ground vehicles network is predicted using fuzzy approach. The approach is different from statistical approaches discussed in previous papers. The algorithm suggested here is based on all simple paths obtained between the terminal nodes of the network in question or the cutset expression of the terminal nodes. Each variable in the Boolean expression obtained from simple path method or from the cutset method will be subjectively assigned a membership grade by an expert in the field. Fuzzy union and fuzzy intersection operations are used to predict the reliability of the network in question. New theorems have been developed to determine the disjoint expression using fuzzy logic. The comparison of this new approach is given with the existing approaches. Further, assuming node reliability and branch reliability one can also predict system reliability of the unmanned ground vehicles network using fuzzy logic.

Paper Details

Date Published: 24 September 2009
PDF: 12 pages
Proc. SPIE 7480, Unmanned/Unattended Sensors and Sensor Networks VI, 74800D (24 September 2009); doi: 10.1117/12.830931
Show Author Affiliations
Adam Mustapha, Wayne State Univ. (United States)
Harpreet Singh, Wayne State Univ. (United States)
Kassem Saab, Wayne State Univ. (United States)
Suresh Rai, Louisiana State Univ. (United States)
Grant R. Gerhart, U.S. Army Tank-Automotive Research, Development and Engineering Ctr. (United States)

Published in SPIE Proceedings Vol. 7480:
Unmanned/Unattended Sensors and Sensor Networks VI
Edward M. Carapezza, Editor(s)

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