Open AccessImproved Object Localization Using Accurate Distance Estimation in Wireless Multimedia Sensor Networks
Author(s) -
Yasar Abbas Ur Rehman,
Muhammad Tariq,
Omar Khan
Publication year - 2015
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0141558
Subject(s) - computer science , object (grammar) , wireless sensor network , orientation (vector space) , computer vision , artificial intelligence , wireless , key (lock) , image sensor , computer network , telecommunications , mathematics , geometry , computer security
Object localization plays a key role in many popular applications of Wireless Multimedia Sensor Networks (WMSN) and as a result, it has acquired a significant status for the research community. A significant body of research performs this task without considering node orientation, object geometry and environmental variations. As a result, the localized object does not reflect the real world scenarios. In this paper, a novel object localization scheme for WMSN has been proposed that utilizes range free localization, computer vision, and principle component analysis based algorithms. The proposed approach provides the best possible approximation of distance between a wmsn sink and an object, and the orientation of the object using image based information. Simulation results report 99% efficiency and an error ratio of 0.01 (around 1 ft) when compared to other popular techniques.