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Optimal data compression and forwarding in wireless sensor networks

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Optimal data compression and forwarding in wireless sensor networks. / Tavli, Bulent; Bagci, Ibrahim Ethem; Ceylan, Onur.

In: IEEE Communications Letters, Vol. 14, No. 5, 05.2010, p. 408-410.

Research output: Contribution to journalJournal articlepeer-review

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Tavli, B, Bagci, IE & Ceylan, O 2010, 'Optimal data compression and forwarding in wireless sensor networks', IEEE Communications Letters, vol. 14, no. 5, pp. 408-410. https://doi.org/10.1109/LCOMM.2010.05.092372

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Tavli, Bulent ; Bagci, Ibrahim Ethem ; Ceylan, Onur. / Optimal data compression and forwarding in wireless sensor networks. In: IEEE Communications Letters. 2010 ; Vol. 14, No. 5. pp. 408-410.

Bibtex

@article{ff6870bfbf154ed7908085a4c9c93011,
title = "Optimal data compression and forwarding in wireless sensor networks",
abstract = "In this letter, we present a Linear Programming framework for modeling dynamic data compression and decompression in conjunction with flow balancing in wireless sensor networks. Using the developed framework, we investigated the sensor network lifetimes for different network sizes with various data compression and flow balancing strategies. Our results show that neither compressing all data nor avoiding data compression completely can achieve the longest possible network lifetime. Dynamic data transformation is shown to achieve significantly longer network lifetimes than the lifetimes obtained with the two pure strategies above.",
keywords = "Tunable data compression , wireless sensor networks , linear programming , energy efficiency , network lifetime",
author = "Bulent Tavli and Bagci, {Ibrahim Ethem} and Onur Ceylan",
year = "2010",
month = may,
doi = "10.1109/LCOMM.2010.05.092372",
language = "English",
volume = "14",
pages = "408--410",
journal = "IEEE Communications Letters",
issn = "1089-7798",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",

}

RIS

TY - JOUR

T1 - Optimal data compression and forwarding in wireless sensor networks

AU - Tavli, Bulent

AU - Bagci, Ibrahim Ethem

AU - Ceylan, Onur

PY - 2010/5

Y1 - 2010/5

N2 - In this letter, we present a Linear Programming framework for modeling dynamic data compression and decompression in conjunction with flow balancing in wireless sensor networks. Using the developed framework, we investigated the sensor network lifetimes for different network sizes with various data compression and flow balancing strategies. Our results show that neither compressing all data nor avoiding data compression completely can achieve the longest possible network lifetime. Dynamic data transformation is shown to achieve significantly longer network lifetimes than the lifetimes obtained with the two pure strategies above.

AB - In this letter, we present a Linear Programming framework for modeling dynamic data compression and decompression in conjunction with flow balancing in wireless sensor networks. Using the developed framework, we investigated the sensor network lifetimes for different network sizes with various data compression and flow balancing strategies. Our results show that neither compressing all data nor avoiding data compression completely can achieve the longest possible network lifetime. Dynamic data transformation is shown to achieve significantly longer network lifetimes than the lifetimes obtained with the two pure strategies above.

KW - Tunable data compression

KW - wireless sensor networks

KW - linear programming

KW - energy efficiency

KW - network lifetime

U2 - 10.1109/LCOMM.2010.05.092372

DO - 10.1109/LCOMM.2010.05.092372

M3 - Journal article

VL - 14

SP - 408

EP - 410

JO - IEEE Communications Letters

JF - IEEE Communications Letters

SN - 1089-7798

IS - 5

ER -