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ANALYSIS AND DEVELOPMENT OF A MATHEMATICAL STRUCTURE TO DESCRIBE ENERGY CONSUMPTION OF SENSOR NETWORKS

by Hawrylak, Peter Joseph

Abstract (Summary)
Collections of several hundred, thousands, or even millions of small devices scattered or placed throughout an area monitoring the environment called sensor networks have several useful applications. Until recently, the economic cost of development, manufacture, and deployment limited the use of sensor networks to military and government applications. Recent advances in technology provide a means for economical development, deployment, and manufacture of sensor networks. Current methodology designs, then implements and simulates the sensor network, then goes back and redesigns to better meet the specifications. The model developed in this dissertation provides an early indication of what types of solutions will meet the requirements and what types of solutions will not. With this ability, the time required for simulation and proof of concept is reduced, allowing more time and money for design and testing of the real world system. The model developed characterizes the energy consumption of a sensor or RFID network as a whole is extremely beneficial and is needed. The model provides a means to benchmark different types of sensor networks (i.e. different protocols, hardware, software) and to determine which type is the better solution. A model such as this removes the requirement to develop a simulation to compare different types. Using the model reduces the time (and save money) needed to verify the solution and helps with development as multiple designs can be quickly tested and compared possibly at a much earlier stage in the development cycle allowing a thorough investigation of different design alternatives.
Bibliographical Information:

Advisor:J. Tom Cain; Heung-no Lee; Steven P. Levitan; Marlin H. Mickle; Mike Lovell; J. Robert Boston

School:University of Pittsburgh

School Location:USA - Pennsylvania

Source Type:Master's Thesis

Keywords:electrical engineering

ISBN:

Date of Publication:01/31/2007

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