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Assessing the comparative effectiveness of map construction protocols in wireless sensor networks

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Assessing the comparative effectiveness of map construction protocols in wireless sensor networks. / Khelil, A.; Chang, H.; Suri, Neeraj.
30th IEEE International Performance Computing and Communications Conference. IEEE, 2011.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Khelil, A, Chang, H & Suri, N 2011, Assessing the comparative effectiveness of map construction protocols in wireless sensor networks. in 30th IEEE International Performance Computing and Communications Conference. IEEE. https://doi.org/10.1109/PCCC.2011.6108090

APA

Khelil, A., Chang, H., & Suri, N. (2011). Assessing the comparative effectiveness of map construction protocols in wireless sensor networks. In 30th IEEE International Performance Computing and Communications Conference IEEE. https://doi.org/10.1109/PCCC.2011.6108090

Vancouver

Khelil A, Chang H, Suri N. Assessing the comparative effectiveness of map construction protocols in wireless sensor networks. In 30th IEEE International Performance Computing and Communications Conference. IEEE. 2011 doi: 10.1109/PCCC.2011.6108090

Author

Khelil, A. ; Chang, H. ; Suri, Neeraj. / Assessing the comparative effectiveness of map construction protocols in wireless sensor networks. 30th IEEE International Performance Computing and Communications Conference. IEEE, 2011.

Bibtex

@inproceedings{6c43feedc3b44d48ad8e131609ded50d,
title = "Assessing the comparative effectiveness of map construction protocols in wireless sensor networks",
abstract = "Map-based visualization of live spatial sensor data collected from a Wireless Sensor Networks (WSN) is a promising application. This application requires samples from each sensor node. The specific WSN properties such as energy imply that the data collection and/or in-network processing should carefully address the trade-off between the energy/network overhead and the map accuracy. Accordingly, several map construction approaches have been proposed. Their efficiency/accuracy balance has been proved in the corresponding papers for a set of carefully selected parameters. To date there exists no quantitative comparative study that considers a wide range of protocol and network parameters in order to provide a comprehensive evaluation of existing strategies. In this paper, we present the first study to evaluate the comparative effectiveness of the available map construction approaches. {\textcopyright} 2011 IEEE.",
keywords = "Comparative effectiveness, Comparative studies, Comprehensive evaluation, Data collection, In-network processing, Network parameters, Spatial sensors, Computer software selection and evaluation, Data visualization, Sensor nodes, Visualization, Sensors",
author = "A. Khelil and H. Chang and Neeraj Suri",
year = "2011",
month = nov,
day = "17",
doi = "10.1109/PCCC.2011.6108090",
language = "English",
isbn = "9781467300100",
booktitle = "30th IEEE International Performance Computing and Communications Conference",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Assessing the comparative effectiveness of map construction protocols in wireless sensor networks

AU - Khelil, A.

AU - Chang, H.

AU - Suri, Neeraj

PY - 2011/11/17

Y1 - 2011/11/17

N2 - Map-based visualization of live spatial sensor data collected from a Wireless Sensor Networks (WSN) is a promising application. This application requires samples from each sensor node. The specific WSN properties such as energy imply that the data collection and/or in-network processing should carefully address the trade-off between the energy/network overhead and the map accuracy. Accordingly, several map construction approaches have been proposed. Their efficiency/accuracy balance has been proved in the corresponding papers for a set of carefully selected parameters. To date there exists no quantitative comparative study that considers a wide range of protocol and network parameters in order to provide a comprehensive evaluation of existing strategies. In this paper, we present the first study to evaluate the comparative effectiveness of the available map construction approaches. © 2011 IEEE.

AB - Map-based visualization of live spatial sensor data collected from a Wireless Sensor Networks (WSN) is a promising application. This application requires samples from each sensor node. The specific WSN properties such as energy imply that the data collection and/or in-network processing should carefully address the trade-off between the energy/network overhead and the map accuracy. Accordingly, several map construction approaches have been proposed. Their efficiency/accuracy balance has been proved in the corresponding papers for a set of carefully selected parameters. To date there exists no quantitative comparative study that considers a wide range of protocol and network parameters in order to provide a comprehensive evaluation of existing strategies. In this paper, we present the first study to evaluate the comparative effectiveness of the available map construction approaches. © 2011 IEEE.

KW - Comparative effectiveness

KW - Comparative studies

KW - Comprehensive evaluation

KW - Data collection

KW - In-network processing

KW - Network parameters

KW - Spatial sensors

KW - Computer software selection and evaluation

KW - Data visualization

KW - Sensor nodes

KW - Visualization

KW - Sensors

U2 - 10.1109/PCCC.2011.6108090

DO - 10.1109/PCCC.2011.6108090

M3 - Conference contribution/Paper

SN - 9781467300100

BT - 30th IEEE International Performance Computing and Communications Conference

PB - IEEE

ER -