On software implementation of reliability of unmanned ground vehicles

Arati M. Dixit; Kassem Saab; Harpreet Singh; Adam Mustapha; Grant R. Gerhart

doi:10.1117/12.818925

30 April 2009 On software implementation of reliability of unmanned ground vehicles

Arati M. Dixit, Kassem Saab, Harpreet Singh, Adam Mustapha, Grant R. Gerhart

Proceedings Volume 7332, Unmanned Systems Technology XI; 73321Z (2009) https://doi.org/10.1117/12.818925
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Critical role of unmanned intelligent ground vehicles is evident from variety of defense applications. Fuzzy Reliability predicts reliability of the convoy of unmanned vehicles represented as a communication network with nodes as vehicle station and branches as path between the stations. Fuzzy Reliability affirms the performance of the system. Fuzzy reliability of a convoy of vehicles is the result of Fuzzy and Boolean approaches. The node and branch reliability is calculated using the Fuzzy approach. The terminal reliability is calculated using Boolean algebra. Software implementation of the fuzzy reliability is successfully done. To improve the performance evaluation of the convoy, node failure i.e. failure of convoy station is also taken into consideration. Depending upon the reliability predicted a commander can take appropriate decision in the battlefield. Proposed algorithm determines all paths from source to destination and Boolean expressions are formed. A non-overlapping simplification is obtained and further transformed into mathematical expression, where reliability values are substituted. The results of design, implementation and simulation of the reliability of convoy of unmanned vehicles are given. It is hoped that the proposed algorithm and its implementation will be useful for sensor network in general and graph of unmanned vehicles in particular.

Citation Download Citation

Arati M. Dixit, Kassem Saab, Harpreet Singh, Adam Mustapha, and Grant R. Gerhart "On software implementation of reliability of unmanned ground vehicles", Proc. SPIE 7332, Unmanned Systems Technology XI, 73321Z (30 April 2009); https://doi.org/10.1117/12.818925

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