logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
Return

Detection Over Sensor Networks: A Tutorial

delete2016-03-01
delete30
PRE
AI
S
S. Hamed Javadi *
DOI：10.1109/MAES.2016.140128delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The applications of sensor networks (SNs) are increasing since they facilitate real-time remote information monitoring and processing. Detection of an event is one of the main tasks of SNs in many applications. Sensors may transmit either raw or processed data to a fusion center (FC), where a final decision is taken. The problems and challenges that exist in detection over SNs and the previously proposed methods to deal with them are reviewed and described in this tutorial.
Keywords:
DISTRIBUTED DETECTION
DECISION FUSION
DECENTRALIZED DETECTION
SIGNAL-DETECTION
PERFORMANCE ANALYSIS
QUANTIZATION
DESIGN
ENERGY
OPTIMALITY
CONSENSUS
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Aerospace and Electronic Systems Magazine cover
IEEE Aerospace and Electronic Systems Magazine
IF:
3.8
Papers:
2.1K
Citations:
2.5K

Organization

No organization information available