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Title:Link Quality Estimation for Data-Intensive Sensor Network Applications
Author(s):Moinzadeh, Parya; Mechitov, Kirill A.; Agha, Gul A.
Subject(s):Link Quality, Multi-hop communication, Statistical analysis
Abstract:The efficiency of multi-hop communication is a function of the time required for data transfer, or throughput. A key determinant of throughput is the reliability of packet transmission, as measured by the packet reception rate. We follow a data-driven statistical approach to dynamically determine a link quality estimate (LQE), which provides a good predictor of packet reception rates. Our goal is to enable efficient multi-hop communication for applications characterized by data-intensive, bursty communication in large sensor networks. Statistical analysis and experiments carried out on a network of 20 Imote2 sensors under a variety of environmental conditions show that the metric is a superior predictor of throughput for bursty data transfer workloads.
Issue Date:2011-09-02
Genre:Technical Report
Publication Status:unpublished
Peer Reviewed:is peer reviewed
Date Available in IDEALS:2011-09-06

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