Information centric sensor network management via community structure

Tzu Yu Chuang, Kwang Cheng Chen, H. Vincent Poor

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Self-organizing dense sensor networks are expected to resolve the challenges of spectral efficiency, energy efficiency, and device management. This paper explores the use of information dependence among sensors to form a community structure of sensor data, and uses this structure to develop an information-centric processing methodology to achieve self-organizing dense sensor networks. Moreover, a data aggregator adopts ℓ1 regularization to easily enhance energy efficiency with uncertain sensor availability. Combining this community structure and these data recovery algorithms, a novel self-organizing device management scheme is proposed to mitigate the sensor maintenance costs. This approach is justified through simulations and analysis, and is envisioned to have future application in the Internet of Things.

Original languageEnglish (US)
Article number7055253
Pages (from-to)767-770
Number of pages4
JournalIEEE Communications Letters
Volume19
Issue number5
DOIs
StatePublished - May 1 2015

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Information-centric processing
  • IoT
  • LASSO
  • WSNs
  • community structure
  • device management
  • energy efficiency
  • self-organization
  • social network analysis

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