On a Grid-based Solution to Target Detection Through Sensor Deployment and Data Fusion

Identifier

1357

Author

Hanwen YuFollow

Date

2015

Document Type

Thesis

Degree Name

Master of Science

Major

Computer Science

Committee Chair

Chase Qishi Wu

Committee Member

Vinhthuy Phan

Committee Member

Scott Fleming

Committee Member

Lan Wang

Abstract

Target detection is one of the fundamental problems in sensor network-basedapplications. We propose a generic grid-based target detection solution, referred to asGridTD, which integrates data fusion and sensor deployment for the detection of a singlestatic or moving target. GridTD determines a sensor deployment scheme based on clusteranalysis, and divides the deployed sensors into several subsets, for each of which, a gridmap of the entire region is constructed to estimate the target location using a statisticalanalysis method under a certain signal attenuation model. A final detection decision ismade according to the clustering degree of the estimated target locations from all thesensor subsets. GridTD has potential to achieve a satisfactory performance through aglobal optimization strategy. Simulation results show the performance superiority of theproposed solution over several well-known methods for target detection.

Comments

Data is provided by the student.

Library Comment

Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

Recommended Citation

Yu, Hanwen, "On a Grid-based Solution to Target Detection Through Sensor Deployment and Data Fusion" (2015). Electronic Theses and Dissertations. 1143.
https://digitalcommons.memphis.edu/etd/1143