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Dissertation/Thesis Abstract

Data preservation in intermittently connected sensor networks via data aggregation
by Hsu, Tiffany, M.S., California State University, Long Beach, 2013, 44; 1527382
Abstract (Summary)

Intermittently connected sensor networks are a subset of wireless sensor networks that have a high data volume and suffer from the problem of infrequent data offloading. When the generated data exceeds the storage capacity of the network between offloading opportunities, there must be some method of data preservation. This requires two phases: compressing the data and redistributing it. The use of data aggregation with consideration given to minimizing total energy is examined as a solution for the compression problem. Simulations of the optimal solution and an approximation heuristic are compared.

Indexing (document details)
Advisor: Maples, Tracy Bradley
Commitee: Ebert, Todd, Tang, Bin
School: California State University, Long Beach
Department: Computer Engineering and Computer Science
School Location: United States -- California
Source: MAI 52/05M(E), Masters Abstracts International
Subjects: Information science, Computer science
Keywords: Data aggregation, Data preservation, Wireless sensor networks
Publication Number: 1527382
ISBN: 978-1-303-76657-2
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