Energy Efficient and Accurate Monitoring of Large-Scale Diffusive Objects in Internet of Things

Based on distributed sensing via energy-constrained sensor devices, the key of large-scale and shape-dynamic object monitoring is how to reduce communication costs, which is the highest related factor to energy consumption. For achieving this goal, we propose a novel detection mechanism based on the...

Full description

Saved in:
Bibliographic Details
Published in:IEEE communications letters 2017-03, Vol.21 (3), p.612-615
Main Authors: Oh, Seungmin, Lee, Jeongcheol, Park, Soochang
Format: Article
Language:English
Subjects:
Base stations
convex hull algorithm
Face
Internet of Things
Monitoring
Object detection
Pins
Sensors
Shape
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Based on distributed sensing via energy-constrained sensor devices, the key of large-scale and shape-dynamic object monitoring is how to reduce communication costs, which is the highest related factor to energy consumption. For achieving this goal, we propose a novel detection mechanism based on the convex hull algorithm that has a strong aspect for reducing the number of (geographic) sensing points to be transmitted to base stations for figuring out a large-scale object. As the convex hull only could recognize convex shapes, we develop methods to not only detect shape loss being a convex but recovery original boundary. That is, our mechanism could take both low communication cost and high detection reliability of large-scale objects.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2016.2634526