BEAM: Branch-based efficient and adaptive multicast for wireless sensor networks

Daehee Kim, Sejun Song, Baek Young Choi

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Multicast has been largely used for one-to-many distribution in wireless sensor networks (WSNs). However, existing multicast protocols have various overhead issues such as large forwarding states, control messages, packet header sizes, computation time, and energy consumption. In this paper, we propose a resilient and efficient branch-based multicast protocol, branch-based efficient and adaptive multicast for wireless sensor networks (BEAM) that reduces forwarding states and control messages by building efficient multicast paths on-demand using branch-based membership establishment, and that efficiently decreases packet header and computation overhead using branch- based data forwarding. Furthermore, for long-lived WSNs, BEAM resiliently keeps maintaining efficient multicast path with lowoverhead on continuous membership establishments based on quality of branches. Extensive evaluation results show that BEAM has less overhead complexity, packet overhead by 40%, and energy consumption by 30% than existing stateless multicast protocols.

Original languageEnglish (US)
Pages (from-to)13-30
Number of pages18
JournalInternational Journal of Sensor Networks
Volume25
Issue number1
DOIs
StatePublished - 2017
Externally publishedYes

Keywords

  • Branch-based multicast
  • Energy efficient multicast
  • Geographic multicast
  • Green sensor network
  • Source multicast
  • WSN
  • Wireless sensor network

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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