A deployment optimization mechanism using depth adjustable nodes in underwater acoustic sensor networks

Zhigang Jin, Zhihua Ji, Yishan Su, Shuo Li, Bo Wei

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The past few years have witnessed a significant progress in the research of underwater acoustic sensor networks. However, most studies on network deployment can only achieve excellent coverage with isolated connectivity or excellent connectivity with coverage holes in the monitoring area. Both coverage and connectivity are important to guarantee the quality of monitoring in Underwater Acoustic Sensor Networks (UASNs). To achieve the joint optimization of network coverage and connectivity, we proposed a deployment optimization mechanism using depth adjustable nodes in UASNs. The sink nodes are evenly distributed on the water surface and act as cluster heads. The sensor nodes in a cluster are adjusted vertically to form the topology with the sink node as the root node so that all nodes in the network are connected. Network deployment is optimized by finding the optimal location of node, with the network topology remains the same as a constraint. Simulation results show that our proposed deployment mechanism can achieve higher coverage with all nodes connected.

本文言語English
ホスト出版物のタイトル2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538616543
DOI
出版ステータスPublished - 2018 12 4
イベント2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018 - Kobe, Japan
継続期間: 2018 5 282018 5 31

出版物シリーズ

名前2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018

Conference

Conference2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
国/地域Japan
CityKobe
Period18/5/2818/5/31

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 海洋学
  • 宇宙惑星科学
  • エネルギー工学および電力技術
  • 海洋工学
  • 音響学および超音波学
  • 器械工学

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