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Toward Quality of Information Aware Rate Control for Sensor Networks
| Citations: | 14 - 0 self |
BibTeX
@MISC{Charbiwala_towardquality,
author = {Zainul Charbiwala and Sadaf Zahedi and Younghun Kim and Mani B. Srivastava and Young H. Cho},
title = {Toward Quality of Information Aware Rate Control for Sensor Networks},
year = {}
}
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Abstract
In sensor networks, it is the Quality of Information (QoI) delivered to the end user that is of primary interest. In general, measurements from different sensor nodes do not contribute equally to the QoI because of differing sensing modalities, node locations, noise levels, sensing channel conditions, fault status, and physical process dynamics. In addition, metrics of QoI are highly application dependent, such as probability of detection of an event or fidelity of reconstruction of a spatio-temporal process. Despite these considerations, traditional data dissemination protocols in sensor networks have been designed with a focus on metrics such as throughput, packet delivery ratio, latency, and fair division of bandwidth, and are thus oblivious to the importance and quality of sensor data and the target application. In this paper, we argue for sensor network protocols that are cognizant of and use feedback from the sensor fusion algorithms to explicitly optimize for application-relevant QoI metrics during network resource allocation decisions. Through analysis and simulation we demonstrate the application-level performance benefits accruing from such a QoI-aware approach to network resource management in the context of a centralized sensor rate selection mechanism for an event detection application scenario. 1.
Keyphrases
sensor network information aware rate control toward quality spatio-temporal process network resource allocation decision noise level application-relevant qoi metric target application application-level performance benefit sensor data sensor network protocol application dependent node location qoi-aware approach network resource management primary interest different sensor node centralized sensor rate selection mechanism event detection application scenario end user physical process dynamic fair division fault status sensor fusion algorithm packet delivery ratio channel condition traditional data dissemination protocol
