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.
|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|
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