Earticle

초록

영어

In Wireless Sensor Networks (WSNs) due to unfavorable environmental conditions that sensor nodes are placed into and some other reasons, power limitation of sensor nodes is the main challenge. Emerging in-network aggregation techniques are increasingly being sought to overcome this limitation and to save energy. Data aggregation methods can be facilitated by cluster based communication model. One application of WSN is in measuring the generated signal from the object. In order to achieve full coverage, this application requires spatially dense deployment of sensor nodes and sensors observations have spatial correlation. Rate-Distortion (RD) theory as an aggregation technique can use spatial correlation to reduce the network load with the help of cluster based communication model. In this paper we introduce a more realistic spatial correlation analysis that makes the RD theory based aggregation model to be more effective. Numerical test results show the effectiveness of this analysis for data aggregation of moving object using RD theory.

목차

Abstract
 1. Introduction
 2. Spatial Correlation Analysis
  2.1. Motivation
  2.2. Analysis
 3. Aggregation Model Review [6]
  3.1. RD Theory Review
  3.2. Aggregation using RD Theory
 4. Numerical Results
  4.1. Data Generation
  4.2. Results
 5. Conclusion
 References

키워드

저자

• Seyed Babak Pourpeighambar [ Computer Engineering Department Amirkabir University of Technology ]
• Masoud Sabaei [ Computer Engineering Department Amirkabir University of Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605