Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

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

Hawrylak, Peter Joseph (2007) ANALYSIS AND DEVELOPMENT OF A MATHEMATICAL STRUCTURE TO DESCRIBE ENERGY CONSUMPTION OF SENSOR NETWORKS. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

[img]
Preview
PDF
Primary Text

Download (5MB) | Preview

Abstract

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.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Hawrylak, Peter Josephpjhst23@pitt.eduPJHST23
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee CoChairCain, J. Tomcain@engr.pitt.eduJTC
Committee CoChairMickle, Marlin Hmickle@engr.pitt.eduMICKLE
Committee MemberLee, Heung-nohnlee@ee.pitt.edu
Committee MemberBoston, J. Robertboston@ee.pitt.eduBBN
Committee MemberLovell, Mikemlovell@engr.pitt.edu
Committee MemberLevitan, Steven Psteve@ee.pitt.eduLEVITAN
Date: 31 January 2007
Date Type: Completion
Defense Date: 10 November 2006
Approval Date: 31 January 2007
Submission Date: 14 November 2006
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical Engineering
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Modeling; RFID; Markov Process; Sensor Network
Other ID: http://etd.library.pitt.edu/ETD/available/etd-11142006-141721/, etd-11142006-141721
Date Deposited: 10 Nov 2011 20:04
Last Modified: 19 Dec 2016 14:37
URI: http://d-scholarship.pitt.edu/id/eprint/9666

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item