A Source-Based Data Aggregation Algorithm for Wireless Sensor Networks
Year: 2014
Type: article
Abstract: The wireless sensor networks (WSNs) are usually deployed among widely area for environmental monitoring, data collection and other applications. In order to reduce the energy consumption and extend the lifetime of WSNs, as well as receive the data quickly, a source-based data aggregation algorithm (SBDA) for clustering wireless sensor networks is proposed. The method aggregated the data from sensor nodes and marked different transmission priority for the data. Simulation results show that, compared to existing protocols, the proposed method achieves a longer life time, and a lower packet drop ratio.
Source: Advanced materials research
Authors: Guang Yu Fan, Wen Hong Liu
Institution: Shanghai Dianji University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funder: Shanghai DianJi University
OpenAlex ID: W2060614381