Localization of Energy Harvesting Empowered Underwater Optical Wireless Sensor Networks

Nasir Saeed, Abdulkadir Celik, Tareq Y. Al-Naffouri, Mohamed Slim Alouini

Research output: Contribution to journalArticlepeer-review

85 Citations (Scopus)

Abstract

This paper proposes a received signal strength (RSS)-based localization framework for energy harvesting underwater optical wireless sensor networks (EH-UOWSNs), where the optical noise sources and channel impairments of seawater pose significant challenges on range estimation. In UOWSNs, energy limitation is another major problem due to the limited battery power and difficulty to replace or recharge the battery of an underwater sensor node. In the proposed framework, sensor nodes with insufficient battery harvest ambient energy and start communicating once they have sufficient storage of energy. Network localization is carried out by measuring the RSSs of active nodes, which are modeled based on the underwater optical communication channel characteristics. Thereafter, block kernel matrices are computed for the RSS-based range measurements. Unlike the traditional shortest-path approach, the proposed technique reduces the estimation error of the shortest path for each block kernel matrix. Once the complete block kernel matrices are available, a closed form localization technique is developed to find the location of every optical sensor node in the network. An analytical expression for the Cramer-Rao lower bound is also derived as a benchmark to evaluate the localization performance of the developed technique. The extensive simulations show that the proposed framework outperforms the well-known network localization techniques.

Original languageEnglish
Article number8676120
Pages (from-to)2652-2663
Number of pages12
JournalIEEE Transactions on Wireless Communications
Volume18
Issue number5
DOIs
Publication statusPublished - May 2019
Externally publishedYes

Keywords

  • Energy harvesting
  • network localization
  • optical wireless communication
  • underwater optical wireless networks

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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