WiMAX backhaul for environmental monitoring

Tuomas Nissilä, Kostas Pentikousis, Ilkka Harjula, Jyrki Huusko, Mika Rautio

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

In environmental monitoring, wirelessly connected sensors form local networks and collect data, which are sent to a central repository for further analysis and permanent storage. In this paper we empirically evaluate the use of xed WiMAX to backhaul data from an environmental monitoring application. We nd that aggregating sensor readings is crucial for taking full advantage of the WiMAX backhaul. We consider application-layer aggregation for scenarios where sensor communication is programmable or at least congurable. For scenarios where sensors cannot be modified, we consider network-layer aggregation using a performance enhancing proxy. Finally, we consider the case where application- and network-layer aggregation are combined. Our results show that without aggregation, goodput is only a small fraction of the maximum achieved in our testbed. Furthermore, we examine the effect of different modulation schemes on performance and quantify in practice the number of wireless sensor nodes that could be served with different modulation and data aggregation combinations.
Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia
PublisherAssociation for Computing Machinery ACM
Pages185-188
Number of pages4
Publication statusPublished - 2008
MoE publication typeNot Eligible
Event7th International Conference on Mobile and Ubiquitous Multimedia, MUM'08 - Umeå, Sweden
Duration: 3 Dec 20085 Dec 2008
Conference number: 7

Conference

Conference7th International Conference on Mobile and Ubiquitous Multimedia, MUM'08
Abbreviated titleMUM 2008
CountrySweden
CityUmeå
Period3/12/085/12/08

Fingerprint

Agglomeration
Monitoring
Network layers
Sensors
Modulation
Testbeds
Sensor nodes
Communication

Keywords

  • WiMAX
  • IEEE 802.16
  • Testbed
  • Wireless Sensor Networks

Cite this

Nissilä, T., Pentikousis, K., Harjula, I., Huusko, J., & Rautio, M. (2008). WiMAX backhaul for environmental monitoring. In Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia (pp. 185-188). Association for Computing Machinery ACM.
Nissilä, Tuomas ; Pentikousis, Kostas ; Harjula, Ilkka ; Huusko, Jyrki ; Rautio, Mika. / WiMAX backhaul for environmental monitoring. Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia. Association for Computing Machinery ACM, 2008. pp. 185-188
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title = "WiMAX backhaul for environmental monitoring",
abstract = "In environmental monitoring, wirelessly connected sensors form local networks and collect data, which are sent to a central repository for further analysis and permanent storage. In this paper we empirically evaluate the use of xed WiMAX to backhaul data from an environmental monitoring application. We nd that aggregating sensor readings is crucial for taking full advantage of the WiMAX backhaul. We consider application-layer aggregation for scenarios where sensor communication is programmable or at least congurable. For scenarios where sensors cannot be modified, we consider network-layer aggregation using a performance enhancing proxy. Finally, we consider the case where application- and network-layer aggregation are combined. Our results show that without aggregation, goodput is only a small fraction of the maximum achieved in our testbed. Furthermore, we examine the effect of different modulation schemes on performance and quantify in practice the number of wireless sensor nodes that could be served with different modulation and data aggregation combinations.",
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Nissilä, T, Pentikousis, K, Harjula, I, Huusko, J & Rautio, M 2008, WiMAX backhaul for environmental monitoring. in Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia. Association for Computing Machinery ACM, pp. 185-188, 7th International Conference on Mobile and Ubiquitous Multimedia, MUM'08, Umeå, Sweden, 3/12/08.

WiMAX backhaul for environmental monitoring. / Nissilä, Tuomas; Pentikousis, Kostas; Harjula, Ilkka; Huusko, Jyrki; Rautio, Mika.

Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia. Association for Computing Machinery ACM, 2008. p. 185-188.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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T1 - WiMAX backhaul for environmental monitoring

AU - Nissilä, Tuomas

AU - Pentikousis, Kostas

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AU - Huusko, Jyrki

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N2 - In environmental monitoring, wirelessly connected sensors form local networks and collect data, which are sent to a central repository for further analysis and permanent storage. In this paper we empirically evaluate the use of xed WiMAX to backhaul data from an environmental monitoring application. We nd that aggregating sensor readings is crucial for taking full advantage of the WiMAX backhaul. We consider application-layer aggregation for scenarios where sensor communication is programmable or at least congurable. For scenarios where sensors cannot be modified, we consider network-layer aggregation using a performance enhancing proxy. Finally, we consider the case where application- and network-layer aggregation are combined. Our results show that without aggregation, goodput is only a small fraction of the maximum achieved in our testbed. Furthermore, we examine the effect of different modulation schemes on performance and quantify in practice the number of wireless sensor nodes that could be served with different modulation and data aggregation combinations.

AB - In environmental monitoring, wirelessly connected sensors form local networks and collect data, which are sent to a central repository for further analysis and permanent storage. In this paper we empirically evaluate the use of xed WiMAX to backhaul data from an environmental monitoring application. We nd that aggregating sensor readings is crucial for taking full advantage of the WiMAX backhaul. We consider application-layer aggregation for scenarios where sensor communication is programmable or at least congurable. For scenarios where sensors cannot be modified, we consider network-layer aggregation using a performance enhancing proxy. Finally, we consider the case where application- and network-layer aggregation are combined. Our results show that without aggregation, goodput is only a small fraction of the maximum achieved in our testbed. Furthermore, we examine the effect of different modulation schemes on performance and quantify in practice the number of wireless sensor nodes that could be served with different modulation and data aggregation combinations.

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Nissilä T, Pentikousis K, Harjula I, Huusko J, Rautio M. WiMAX backhaul for environmental monitoring. In Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia. Association for Computing Machinery ACM. 2008. p. 185-188