Improving energy conservation using bulk transmission over high-power radios in sensor networks

Cigdem Sengul, Mehedi Bakht, Albert Harris, Tarek Abdelzaher, Robin Kravets

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Low power radios, such as the CC2420, have been widely popular with recent sensor platforms. This paper explores the potential for energy savings from adding a highpower, high-bandwidth radio to current sensor platforms. High-bandwidth radios consume more power but significantly reduce the time for transmissions. Consequently, they offer net savings in total communication energy when there is enough data to offset wake-up energy overhead. The analysis on energy characteristics of several IEEE 802.11 radios show that a feasible crossover point exists (in terms of data size) after which energy savings are possible. Based on this analysis, we present a bulk data transmission protocol for dual radio systems. The results of simulations and prototype implementation show significant energy savings at the expense of introducing acceptable delay.

Original languageEnglish (US)
Title of host publicationProceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008
Pages801-808
Number of pages8
DOIs
StatePublished - Sep 22 2008
Event28th International Conference on Distributed Computing Systems, ICDCS 2008 - Beijing, China
Duration: Jul 17 2008Jul 20 2008

Publication series

NameProceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008

Other

Other28th International Conference on Distributed Computing Systems, ICDCS 2008
CountryChina
CityBeijing
Period7/17/087/20/08

Fingerprint

Radio receivers
Sensor networks
Energy conservation
Bandwidth
Radio systems
Sensors
Data communication systems
Network protocols
Communication

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software

Cite this

Sengul, C., Bakht, M., Harris, A., Abdelzaher, T., & Kravets, R. (2008). Improving energy conservation using bulk transmission over high-power radios in sensor networks. In Proceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008 (pp. 801-808). [4595956] (Proceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008). https://doi.org/10.1109/ICDCS.2008.56

Improving energy conservation using bulk transmission over high-power radios in sensor networks. / Sengul, Cigdem; Bakht, Mehedi; Harris, Albert; Abdelzaher, Tarek; Kravets, Robin.

Proceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008. 2008. p. 801-808 4595956 (Proceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sengul, C, Bakht, M, Harris, A, Abdelzaher, T & Kravets, R 2008, Improving energy conservation using bulk transmission over high-power radios in sensor networks. in Proceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008., 4595956, Proceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008, pp. 801-808, 28th International Conference on Distributed Computing Systems, ICDCS 2008, Beijing, China, 7/17/08. https://doi.org/10.1109/ICDCS.2008.56
Sengul C, Bakht M, Harris A, Abdelzaher T, Kravets R. Improving energy conservation using bulk transmission over high-power radios in sensor networks. In Proceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008. 2008. p. 801-808. 4595956. (Proceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008). https://doi.org/10.1109/ICDCS.2008.56
Sengul, Cigdem ; Bakht, Mehedi ; Harris, Albert ; Abdelzaher, Tarek ; Kravets, Robin. / Improving energy conservation using bulk transmission over high-power radios in sensor networks. Proceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008. 2008. pp. 801-808 (Proceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008).
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