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Information quality aware co-design of sampling and transport in wireless sensor networks

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Information quality aware co-design of sampling and transport in wireless sensor networks. / Sachidananda, V.; Khelil, A.; Noack, D. et al.
6th Joint IFIP Wireless and Mobile Networking Conference (WMNC). IEEE, 2013.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Sachidananda, V, Khelil, A, Noack, D & Suri, N 2013, Information quality aware co-design of sampling and transport in wireless sensor networks. in 6th Joint IFIP Wireless and Mobile Networking Conference (WMNC). IEEE. https://doi.org/10.1109/WMNC.2013.6548978

APA

Sachidananda, V., Khelil, A., Noack, D., & Suri, N. (2013). Information quality aware co-design of sampling and transport in wireless sensor networks. In 6th Joint IFIP Wireless and Mobile Networking Conference (WMNC) IEEE. https://doi.org/10.1109/WMNC.2013.6548978

Vancouver

Sachidananda V, Khelil A, Noack D, Suri N. Information quality aware co-design of sampling and transport in wireless sensor networks. In 6th Joint IFIP Wireless and Mobile Networking Conference (WMNC). IEEE. 2013 doi: 10.1109/WMNC.2013.6548978

Author

Sachidananda, V. ; Khelil, A. ; Noack, D. et al. / Information quality aware co-design of sampling and transport in wireless sensor networks. 6th Joint IFIP Wireless and Mobile Networking Conference (WMNC). IEEE, 2013.

Bibtex

@inproceedings{72f86dafcc7a421bbe4d753b360151a5,
title = "Information quality aware co-design of sampling and transport in wireless sensor networks",
abstract = "A key task in Wireless Sensor Networks (WSNs) is to deliver specific information about a spatial phenomenon of interest. To this end, a few Sensor Nodes (SNs) sample the phenomenon and transmit the acquired samples, typically multihop, to the application through a gateway called sink. Many applications require the spatial sampling to be accurate and the delivery to be reliable. However, providing a higher accuracy/reliability comes at the cost of higher energy overhead as additional messages are required: increasing the number of samples to increase the accuracy of sampling and increasing the number of retransmissions to increase the transport reliability. Existing design approaches overlook optimized spatial sampling accuracy and transport reliability in combination for minimizing energy consumption. This work aims in providing the optimized solution for sampling accuracy and transport reliability in composition for a maximized efficiency. Our approach features a message efficiency that optimally meets application requirements with the online adaptation and appropriate tradeoff between accuracy and reliability. The sampling and transport co-design proceeds by finding optimal number of SNs for the accuracy of the spatial sampling with the effect of reducing the number of retransmissions and still satisfying the application requirements. We validate the approach viability through analytical modeling and extensive simulations for a wide range of requirements. {\textcopyright} 2013 IEEE.",
keywords = "Information Quality, Optimization, Sampling, Transport, Wireless Sensor Networks, Application requirements, Extensive simulations, Information quality, Optimized solutions, Sampling accuracies, Specific information, Wireless sensor network (WSNs), Energy utilization, Information analysis, Sensor nodes, Wireless sensor networks, Reliability",
author = "V. Sachidananda and A. Khelil and D. Noack and Neeraj Suri",
year = "2013",
month = apr,
day = "23",
doi = "10.1109/WMNC.2013.6548978",
language = "English",
isbn = "9781467356152",
booktitle = "6th Joint IFIP Wireless and Mobile Networking Conference (WMNC)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Information quality aware co-design of sampling and transport in wireless sensor networks

AU - Sachidananda, V.

AU - Khelil, A.

AU - Noack, D.

AU - Suri, Neeraj

PY - 2013/4/23

Y1 - 2013/4/23

N2 - A key task in Wireless Sensor Networks (WSNs) is to deliver specific information about a spatial phenomenon of interest. To this end, a few Sensor Nodes (SNs) sample the phenomenon and transmit the acquired samples, typically multihop, to the application through a gateway called sink. Many applications require the spatial sampling to be accurate and the delivery to be reliable. However, providing a higher accuracy/reliability comes at the cost of higher energy overhead as additional messages are required: increasing the number of samples to increase the accuracy of sampling and increasing the number of retransmissions to increase the transport reliability. Existing design approaches overlook optimized spatial sampling accuracy and transport reliability in combination for minimizing energy consumption. This work aims in providing the optimized solution for sampling accuracy and transport reliability in composition for a maximized efficiency. Our approach features a message efficiency that optimally meets application requirements with the online adaptation and appropriate tradeoff between accuracy and reliability. The sampling and transport co-design proceeds by finding optimal number of SNs for the accuracy of the spatial sampling with the effect of reducing the number of retransmissions and still satisfying the application requirements. We validate the approach viability through analytical modeling and extensive simulations for a wide range of requirements. © 2013 IEEE.

AB - A key task in Wireless Sensor Networks (WSNs) is to deliver specific information about a spatial phenomenon of interest. To this end, a few Sensor Nodes (SNs) sample the phenomenon and transmit the acquired samples, typically multihop, to the application through a gateway called sink. Many applications require the spatial sampling to be accurate and the delivery to be reliable. However, providing a higher accuracy/reliability comes at the cost of higher energy overhead as additional messages are required: increasing the number of samples to increase the accuracy of sampling and increasing the number of retransmissions to increase the transport reliability. Existing design approaches overlook optimized spatial sampling accuracy and transport reliability in combination for minimizing energy consumption. This work aims in providing the optimized solution for sampling accuracy and transport reliability in composition for a maximized efficiency. Our approach features a message efficiency that optimally meets application requirements with the online adaptation and appropriate tradeoff between accuracy and reliability. The sampling and transport co-design proceeds by finding optimal number of SNs for the accuracy of the spatial sampling with the effect of reducing the number of retransmissions and still satisfying the application requirements. We validate the approach viability through analytical modeling and extensive simulations for a wide range of requirements. © 2013 IEEE.

KW - Information Quality

KW - Optimization

KW - Sampling

KW - Transport

KW - Wireless Sensor Networks

KW - Application requirements

KW - Extensive simulations

KW - Information quality

KW - Optimized solutions

KW - Sampling accuracies

KW - Specific information

KW - Wireless sensor network (WSNs)

KW - Energy utilization

KW - Information analysis

KW - Sensor nodes

KW - Wireless sensor networks

KW - Reliability

U2 - 10.1109/WMNC.2013.6548978

DO - 10.1109/WMNC.2013.6548978

M3 - Conference contribution/Paper

SN - 9781467356152

BT - 6th Joint IFIP Wireless and Mobile Networking Conference (WMNC)

PB - IEEE

ER -