Communication/computation trade-offs in wireless sensor networks: Comparing network-level and node-level strategies

Huseyin Ugur Yildiz; Kemal Bicakci; Bulent Tavli

doi:10.1109/WiSNet.2014.6825515

Communication/computation trade-offs in wireless sensor networks: Comparing network-level and node-level strategies

Huseyin Ugur Yildiz
, Kemal Bicakci
, Bulent Tavli

TOBB University of Economics and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

In wireless sensor networks, nodes having limited battery resources convey data to an energy-unconstrained base station. The amount of data transmitted by a node usually depends on how much local processing is performed. In other words, more computation on a node means less communication with the base station and vice versa. Hence improving energy efficiency and prolonging the network lifetime requires a careful trade-off analysis. This analysis may be performed at a network-level or at a node-level. The latter is more fine-grained allowing different nodes to implement different solutions. In our work, we propose a novel mixed integer programming framework to model and optimize node-level strategies. Using this framework, we show that hybrid use of digital signature algorithms in a network could extend the lifetime up to 21.25% as compared to a network-level optimal strategy where all nodes use a single algorithm.

Original language	English
Title of host publication	WiSNet 2014 - Proceedings
Subtitle of host publication	2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks
Publisher	IEEE Computer Society
Pages	49-51
Number of pages	3
ISBN (Print)	9781479923007
DOIs	https://doi.org/10.1109/WiSNet.2014.6825515
Publication status	Published - 2014
Externally published	Yes
Event	2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2014 - Newport Beach, CA, United States Duration: 19 Jan 2014 → 22 Jan 2014

Publication series

Name	WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks

Conference

Conference	2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2014
Country/Territory	United States
City	Newport Beach, CA
Period	19/01/14 → 22/01/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

communication/computation
mixed integer pro-gramming
network lifetime
trade-off analysis
wireless sensor networks

Access to Document

10.1109/WiSNet.2014.6825515

Cite this

Yildiz, H. U., Bicakci, K., & Tavli, B. (2014). Communication/computation trade-offs in wireless sensor networks: Comparing network-level and node-level strategies. In WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks (pp. 49-51). Article 6825515 (WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks). IEEE Computer Society. https://doi.org/10.1109/WiSNet.2014.6825515

Yildiz, Huseyin Ugur ; Bicakci, Kemal ; Tavli, Bulent. / Communication/computation trade-offs in wireless sensor networks : Comparing network-level and node-level strategies. WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks. IEEE Computer Society, 2014. pp. 49-51 (WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks).

@inproceedings{c83c4091c4424cf0865a59b804a84ee0,

title = "Communication/computation trade-offs in wireless sensor networks: Comparing network-level and node-level strategies",

abstract = "In wireless sensor networks, nodes having limited battery resources convey data to an energy-unconstrained base station. The amount of data transmitted by a node usually depends on how much local processing is performed. In other words, more computation on a node means less communication with the base station and vice versa. Hence improving energy efficiency and prolonging the network lifetime requires a careful trade-off analysis. This analysis may be performed at a network-level or at a node-level. The latter is more fine-grained allowing different nodes to implement different solutions. In our work, we propose a novel mixed integer programming framework to model and optimize node-level strategies. Using this framework, we show that hybrid use of digital signature algorithms in a network could extend the lifetime up to 21.25\% as compared to a network-level optimal strategy where all nodes use a single algorithm.",

keywords = "communication/computation, mixed integer pro-gramming, network lifetime, trade-off analysis, wireless sensor networks",

author = "Yildiz, \{Huseyin Ugur\} and Kemal Bicakci and Bulent Tavli",

year = "2014",

doi = "10.1109/WiSNet.2014.6825515",

language = "English",

isbn = "9781479923007",

series = "WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks",

publisher = "IEEE Computer Society",

pages = "49--51",

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address = "United States",

note = "2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2014 ; Conference date: 19-01-2014 Through 22-01-2014",

}

Yildiz, HU, Bicakci, K & Tavli, B 2014, Communication/computation trade-offs in wireless sensor networks: Comparing network-level and node-level strategies. in WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks., 6825515, WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks, IEEE Computer Society, pp. 49-51, 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2014, Newport Beach, CA, United States, 19/01/14. https://doi.org/10.1109/WiSNet.2014.6825515

Communication/computation trade-offs in wireless sensor networks: Comparing network-level and node-level strategies. / Yildiz, Huseyin Ugur; Bicakci, Kemal; Tavli, Bulent.
WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks. IEEE Computer Society, 2014. p. 49-51 6825515 (WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T2 - 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2014

AU - Yildiz, Huseyin Ugur

AU - Bicakci, Kemal

AU - Tavli, Bulent

PY - 2014

Y1 - 2014

N2 - In wireless sensor networks, nodes having limited battery resources convey data to an energy-unconstrained base station. The amount of data transmitted by a node usually depends on how much local processing is performed. In other words, more computation on a node means less communication with the base station and vice versa. Hence improving energy efficiency and prolonging the network lifetime requires a careful trade-off analysis. This analysis may be performed at a network-level or at a node-level. The latter is more fine-grained allowing different nodes to implement different solutions. In our work, we propose a novel mixed integer programming framework to model and optimize node-level strategies. Using this framework, we show that hybrid use of digital signature algorithms in a network could extend the lifetime up to 21.25% as compared to a network-level optimal strategy where all nodes use a single algorithm.

AB - In wireless sensor networks, nodes having limited battery resources convey data to an energy-unconstrained base station. The amount of data transmitted by a node usually depends on how much local processing is performed. In other words, more computation on a node means less communication with the base station and vice versa. Hence improving energy efficiency and prolonging the network lifetime requires a careful trade-off analysis. This analysis may be performed at a network-level or at a node-level. The latter is more fine-grained allowing different nodes to implement different solutions. In our work, we propose a novel mixed integer programming framework to model and optimize node-level strategies. Using this framework, we show that hybrid use of digital signature algorithms in a network could extend the lifetime up to 21.25% as compared to a network-level optimal strategy where all nodes use a single algorithm.

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Yildiz HU, Bicakci K, Tavli B. Communication/computation trade-offs in wireless sensor networks: Comparing network-level and node-level strategies. In WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks. IEEE Computer Society. 2014. p. 49-51. 6825515. (WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks). doi: 10.1109/WiSNet.2014.6825515

Communication/computation trade-offs in wireless sensor networks: Comparing network-level and node-level strategies

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this