Publication Date

5-2014

Date of Final Oral Examination (Defense)

4-9-2014

Type of Culminating Activity

Dissertation

Degree Title

Doctor of Philosophy in Electrical and Computer Engineering

Department

Electrical and Computer Engineering

Supervisory Committee Chair

Sin Ming Loo, Ph.D.

Supervisory Committee Member

Hao Chen, Ph.D.

Supervisory Committee Member

Amit Jain, Ph.D.

Abstract

Wireless sensor networks (WSNs) have emerged as versatile platforms for a wide range of scientific data acquisition applications. Wireless sensor network systems are used in many applications including: surveillance, environmental monitoring, target tracking, wildlife tracking, personal health monitoring, machinery monitoring, and many others. Current research efforts in WSN system designs are moving toward approaches that enable direct in-network processing of acquired sensor data to avoid the high energy costs associated with the bulk transmission of data to outside systems for processing. Implementation of collaborative in-network processing algorithms is a non-trivial issue for WSN system development. Design complexity for in-network processing algorithms is compounded by the fact that there are few frameworks available to enable general purpose, energy-aware, data sharing within WSN environments. This dissertation presents a novel WSN communications and data sharing framework called WSNFS (Wireless Sensor Network File System), which is designed to enable general purpose collaborative in-network sensor data processing. WSNFS presents a common symbolic distributed file system that provides virtual views that uniquely display sensor data, node characteristics, and network topology to each sensor node in the network. These features significantly simplify the development and implementation of in-network collaborative processing algorithms in WSNs.

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