Hierarchical adaptive QoS control for voting-based data collection in hostile scenarios

Authors:
Mohammad Rabby;Kaliappa Ravindran;Kevin A. Kwiat
Affiliations:
Graduate School and University Center (CUNY), New York, NY;Graduate School and University Center (CUNY), New York, NY;Air Force Research Laboratory, Rome, NY
Venue:
Proceedings of the 8th International Conference on Network and Service Management
Year:
2012

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Abstract

Voting among replicated data collection devices is a means to achieve dependable data delivery to the end-user in a hostile environment. Here, a QoS prescription is about how often a correct data is delivered to the user in a timely manner. The paper deals with situations where the available network bandwidth varies dynamically and/or the environment fault parameters change unpredictably. A hierarchical adaptation method is employed to manage the QoS at two levels: the core voting module and a situational assessment module. The hierarchical QoS control enables an optimal use of resources by the voting system vis-a-vis the mission-critical application needs.