A new online adaptive segmentation algorithm in delay sensitive wireless sensor networks

Feng Xiao Tang, Ming Zhao, Li Ping Liu, Cheng Gao

Research output: Contribution to journalArticlepeer-review

Abstract

Because the packet delay and energy consumption of wireless sensor network node are effectively reduced by the data flow compression, the data flow compression technique can prolong the network lifetime and is suitable for use in delay sensitive applications. If the time consumption of the compression algorithm is big, then the data flow compression can not be valuable. How to balance time consumption and reduce delay is a big problem. To solve this problem, this paper proposed an adaptive judgment algorithm based on Packet segmentation and compression. In this algorithm, the source data packet was broken into shares and sent to the adjacent nodes separately, the compression strategy are chosen adaptively based on the local information of each individual sensor node. Our extensive experimental results show: this algorithm is highly effective on the reduction of transmission delay.

Original languageEnglish
Pages (from-to)6020-6030
Number of pages11
JournalInformation Technology Journal
Volume12
Issue number21
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Adaptive algorithm
  • Data compression
  • Data gathering
  • Delay sensitive
  • Packet delay
  • Packet segmentation
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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