Skip to main navigation Skip to search Skip to main content

An event-triggered energy-efficient clustering in collaborative beamforming for wireless sensor networks

  • Jianxin Ma
  • , Shuo Shi*
  • , Si Tian
  • , Xuemai Gu
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we present a protocol, CEWEC (Collaborative, Event-Triggered, Weighted, Energy-Efficient Clustering), based on collaborative beamforming. It is designed for wireless sensor nodes to realize the long-distance transmission. In order to save the energy of sensor nodes, a node wakes up when it has data to be uploaded. In our protocol, multi-layer structure is adopted: trigger-node layers, clusterhead-node layers, child-node layers. The number of child nodes and clusterheads depends on the distance of transmission. Clusterheads are selected according to the node's weight which is based on its residual energy and distance to the trigger node. The main characteristic of this protocol is that clusterheads can directly communication with each other without the large-scale base station and antennas. Thus, the data from the trigger node would be able to be shared within the multi-layer structure. Considering the clustering process, energy model, and success rate, the simulation results show that the CEWEC protocol can effectively manage a large number of sensor nodes to share and transmit data.

Original languageEnglish
Pages (from-to)8-14
Number of pages7
JournalJournal of Harbin Institute of Technology (New Series)
Volume23
Issue number5
DOIs
StatePublished - 1 Oct 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Clustering
  • Collaborative beamforming
  • Energy efficiency
  • Network lifetime
  • Sensor networks

Fingerprint

Dive into the research topics of 'An event-triggered energy-efficient clustering in collaborative beamforming for wireless sensor networks'. Together they form a unique fingerprint.

Cite this