Year: 2008
Type: dissertation
Abstract: Distributed embedded computing systems are special-purpose computer systems designed for particular applications and set up in a networked or distributed manner. A practical application domain for such a distributed system setup is the domain of wireless sensor network (WSN) applications. In this thesis, studies of architectures, applications, and methodologies for distributed embedded systems will be covered by addressing a number of important energy and performance optimization problems for translating highlevel representations of distributed embedded applications into system implementations. This thesis is also concerned about systematic design methodologies and optimization problems for both software and hardware implementations. With advances in integrated circuit technology, distributed embedded platforms such as wireless sensor nodes can be equipped with increasing amounts of computational resources, such as digital signal processing (DSP) subsystems that can handle intensivecomputational tasks. By incorporating such dedicated DSP processing, a distributed embedded platform can enhance its functional capabilities for processing data before transmitting the data to other parts of the network or to an associated base station (central node). Therefore, this thesis presents a design methodology for distributing DSP applications
Authors: Shuvra S. Bhattacharyya, Chung-Ching Shen
Institution: University of Maryland, College Park
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W21264169