A DSDV Routing Structure for Efficient Compression

Yalei Zhang, Shujuan Hou, Qin Zhang

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

Abstract

The traditional DSDV protocol is not suitable for large-scale Ad hoc networks due to high overhead. And the size of periodic packets increases linearly with the number of nodes in the network. Oversized packet will cause the MTU-limited MAC layer to generate more fragments and degrade network performance particularly in the narrow-band network. In this paper, we analyze the structure of the DSDV packet and propose a column-based hybrid encoding structure for DSDV, called CHEDSDV. To better contextualize the packet content, we switch from storing data by entry to storing by field. We also construct an out-of-band dictionary for the ADDR field, analyze the distribution characteristics and relationships of other fields, and assess the suitability of general compression algorithms for them. Finally, we tested the hybrid encoding method based on NS3 simulation data. The results show that the hybrid encoding structure is more suitable for compression and achieves a better compression ratio than direct packet compression.

Original languageEnglish
Title of host publication2023 8th International Conference on Computer and Communication Systems, ICCCS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages482-487
Number of pages6
ISBN (Electronic)9781665456128
DOIs
Publication statusPublished - 2023
Event8th International Conference on Computer and Communication Systems, ICCCS 2023 - Hybrid, Guangzhou, China
Duration: 21 Apr 202324 Apr 2023

Publication series

Name2023 8th International Conference on Computer and Communication Systems, ICCCS 2023

Conference

Conference8th International Conference on Computer and Communication Systems, ICCCS 2023
Country/TerritoryChina
CityHybrid, Guangzhou
Period21/04/2324/04/23

Keywords

  • DSDV
  • compress
  • dictionary
  • encoding structure

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