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Sampling and transport co-design in Wireless Sensor Networks

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

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Sampling and transport co-design in Wireless Sensor Networks. / Sachidananda, V.; Khelil, A.; Noack, D. et al.
2013 10th Annual Conference on Wireless On-demand Network Systems and Services (WONS). IEEE, 2013. p. 98-100.

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

Harvard

Sachidananda, V, Khelil, A, Noack, D & Suri, N 2013, Sampling and transport co-design in Wireless Sensor Networks. in 2013 10th Annual Conference on Wireless On-demand Network Systems and Services (WONS). IEEE, pp. 98-100. https://doi.org/10.1109/WONS.2013.6578327

APA

Sachidananda, V., Khelil, A., Noack, D., & Suri, N. (2013). Sampling and transport co-design in Wireless Sensor Networks. In 2013 10th Annual Conference on Wireless On-demand Network Systems and Services (WONS) (pp. 98-100). IEEE. https://doi.org/10.1109/WONS.2013.6578327

Vancouver

Sachidananda V, Khelil A, Noack D, Suri N. Sampling and transport co-design in Wireless Sensor Networks. In 2013 10th Annual Conference on Wireless On-demand Network Systems and Services (WONS). IEEE. 2013. p. 98-100 doi: 10.1109/WONS.2013.6578327

Author

Sachidananda, V. ; Khelil, A. ; Noack, D. et al. / Sampling and transport co-design in Wireless Sensor Networks. 2013 10th Annual Conference on Wireless On-demand Network Systems and Services (WONS). IEEE, 2013. pp. 98-100

Bibtex

@inproceedings{5dde0e73c38941ed8464936ceb56e65f,
title = "Sampling and transport co-design 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. In this paper, we sketch a new approach in providing the optimized solution for sampling accuracy and transport reliability in composition for a maximized efficiency. {\textcopyright} 2013 IEEE.",
keywords = "Information Quality, Optimization, Sampling, Transport, Wireless Sensor Networks, Information quality, Number of samples, Optimized solutions, Sampling accuracies, Spatial phenomenon, Specific information, Wireless sensor network (WSNs), Energy utilization, Sensor nodes, Wireless sensor networks, Reliability",
author = "V. Sachidananda and A. Khelil and D. Noack and Neeraj Suri",
year = "2013",
month = mar,
day = "18",
doi = "10.1109/WONS.2013.6578327",
language = "English",
isbn = "9781479907472",
pages = "98--100",
booktitle = "2013 10th Annual Conference on Wireless On-demand Network Systems and Services (WONS)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Sampling and transport co-design in Wireless Sensor Networks

AU - Sachidananda, V.

AU - Khelil, A.

AU - Noack, D.

AU - Suri, Neeraj

PY - 2013/3/18

Y1 - 2013/3/18

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. In this paper, we sketch a new approach in providing the optimized solution for sampling accuracy and transport reliability in composition for a maximized efficiency. © 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. In this paper, we sketch a new approach in providing the optimized solution for sampling accuracy and transport reliability in composition for a maximized efficiency. © 2013 IEEE.

KW - Information Quality

KW - Optimization

KW - Sampling

KW - Transport

KW - Wireless Sensor Networks

KW - Information quality

KW - Number of samples

KW - Optimized solutions

KW - Sampling accuracies

KW - Spatial phenomenon

KW - Specific information

KW - Wireless sensor network (WSNs)

KW - Energy utilization

KW - Sensor nodes

KW - Wireless sensor networks

KW - Reliability

U2 - 10.1109/WONS.2013.6578327

DO - 10.1109/WONS.2013.6578327

M3 - Conference contribution/Paper

SN - 9781479907472

SP - 98

EP - 100

BT - 2013 10th Annual Conference on Wireless On-demand Network Systems and Services (WONS)

PB - IEEE

ER -