Information Centric Sensor Network Management via Community Structure.
Journal
IEEE Communications Letters.
Journal Volume
19
Journal Issue
5
Pages
767-770
Date Issued
2015-05
Author(s)
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. © 2015 IEEE.
Subjects
community structure; device management; energy efficiency; Information-centric processing; IoT; LASSO; self-organization; social network analysis; WSNs
SDGs
Other Subjects
Energy efficiency; Information use; Maintenance; Network management; Sensor networks; Social networking (online); Social sciences; Community structures; Device management; Information-centric; IoT; LASSO; Self organizations; WSNs; Information management
Type
journal article