원문정보
보안공학연구지원센터(IJFGCN)
International Journal of Future Generation Communication and Networking
Vol.9 No.3
2016.03
pp.189-200
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Compressive Data Gathering (CDG) has recently emerged to provide energy efficient data aggregation in wireless sensor networks (WSNs). Existing CDG is done by forming a span-tree from all sensors to the data sink, which leads to a lot of energy consumption in maintain this tree. In this paper, we present a clustering based CDG scheme for large-scale WSNs. This scheme reduces traditional network communication cost by introducing in-network compression and recovers sensory data accurately by using compress sensing theory. With extensive simulation, we demonstrate that our scheme prolongs nearly 45% network’s lifetime compared with the Hybrid compressive data gathering schemes.
목차
Abstract
1. Introduction
2. Background Knowledge of Compress Sensing
3. Clustering Based Compressive Data Gathering (CDG)
3.1. Existing Typical CDG Scheme
3.2. Clustering CDG Scheme
4. Simulation Analysis
5. Conclusion
Acknowledgements
References
1. Introduction
2. Background Knowledge of Compress Sensing
3. Clustering Based Compressive Data Gathering (CDG)
3.1. Existing Typical CDG Scheme
3.2. Clustering CDG Scheme
4. Simulation Analysis
5. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보