학술논문
Compress sensing for wireless sensor networks using gossip pairwise algorithm and optimization algorithms
Document Type
Conference
Author
Source
2016 IEEE Ecuador Technical Chapters Meeting (ETCM) Ecuador Technical Chapters Meeting (ETCM), IEEE. :1-5 Oct, 2016
Subject
Language
Abstract
For retrieving information in a wireless sensor network (WSN) from any node, each node must know the status of the entire network, leading to a high cost of energy in communication and information storage. In this paper, we evaluated a recovery method to request information from any node of a WSN with the use of compress sensing to compact the data to be stored and transmitted, and the use of a gossip pairwise algorithm to determine the network status. To recover the compressed information, two optimization algorithms are proposed and tested for convergence errors.