Packet header compression for the internet of things

Pekka Koskela (Corresponding Author), Mikko Majanen, Mikko Valta

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Due to the extensive growth of Internet of Things (IoT), the number of wireless devices connected to the Internet is forecasted to grow to 26 billion units installed in 2020. This will challenge both the energy efficiency of wireless battery powered devices and the bandwidth of wireless networks. One solution for both challenges could be to utilize packet header compression. This paper reviews different packet compression, and especially packet header compression, methods and studies the performance of Robust Header Compression (ROHC) in low speed radio networks such as XBEE, and in high speed radio networks such as LTE and WLAN. In all networks, the compressing and decompressing processing causes extra delay and power consumption, but in low speed networks, energy can still be saved due to the shorter transmission time.
Original languageEnglish
Pages (from-to)43-51
JournalSensors & Transducers
Volume196
Issue number1
Publication statusPublished - 2016
MoE publication typeA1 Journal article-refereed

Fingerprint

Wireless local area networks (WLAN)
Energy efficiency
Wireless networks
Electric power utilization
Internet
Bandwidth
Internet of things
Processing

Keywords

  • internet of things
  • IoT
  • compression
  • energy efficiency
  • wireless radios

Cite this

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title = "Packet header compression for the internet of things",
abstract = "Due to the extensive growth of Internet of Things (IoT), the number of wireless devices connected to the Internet is forecasted to grow to 26 billion units installed in 2020. This will challenge both the energy efficiency of wireless battery powered devices and the bandwidth of wireless networks. One solution for both challenges could be to utilize packet header compression. This paper reviews different packet compression, and especially packet header compression, methods and studies the performance of Robust Header Compression (ROHC) in low speed radio networks such as XBEE, and in high speed radio networks such as LTE and WLAN. In all networks, the compressing and decompressing processing causes extra delay and power consumption, but in low speed networks, energy can still be saved due to the shorter transmission time.",
keywords = "internet of things, IoT, compression, energy efficiency, wireless radios",
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Packet header compression for the internet of things. / Koskela, Pekka (Corresponding Author); Majanen, Mikko; Valta, Mikko.

In: Sensors & Transducers, Vol. 196, No. 1, 2016, p. 43-51.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Packet header compression for the internet of things

AU - Koskela, Pekka

AU - Majanen, Mikko

AU - Valta, Mikko

N1 - SDA: SHP: Pro-Io-T Project code: 100664

PY - 2016

Y1 - 2016

N2 - Due to the extensive growth of Internet of Things (IoT), the number of wireless devices connected to the Internet is forecasted to grow to 26 billion units installed in 2020. This will challenge both the energy efficiency of wireless battery powered devices and the bandwidth of wireless networks. One solution for both challenges could be to utilize packet header compression. This paper reviews different packet compression, and especially packet header compression, methods and studies the performance of Robust Header Compression (ROHC) in low speed radio networks such as XBEE, and in high speed radio networks such as LTE and WLAN. In all networks, the compressing and decompressing processing causes extra delay and power consumption, but in low speed networks, energy can still be saved due to the shorter transmission time.

AB - Due to the extensive growth of Internet of Things (IoT), the number of wireless devices connected to the Internet is forecasted to grow to 26 billion units installed in 2020. This will challenge both the energy efficiency of wireless battery powered devices and the bandwidth of wireless networks. One solution for both challenges could be to utilize packet header compression. This paper reviews different packet compression, and especially packet header compression, methods and studies the performance of Robust Header Compression (ROHC) in low speed radio networks such as XBEE, and in high speed radio networks such as LTE and WLAN. In all networks, the compressing and decompressing processing causes extra delay and power consumption, but in low speed networks, energy can still be saved due to the shorter transmission time.

KW - internet of things

KW - IoT

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KW - energy efficiency

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