Joint Optimal Placement and Energy Allocation of Underwater Sensors in a Tree Topology

Abstract

By using the Karush Kuhn Tucker (KKT) conditions in a multi-hop hierarchical tree structure we obtained the optimal placement of the underwater acoustic sensor nodes with respect to the capacity of the wireless links between the nodes. We assumed that the energy consumption of each sensor node is constant. We were able to calculate the vertical and horizontal distances between each sensor nodes and also between any levels of interest. On the same tree topology we focused on the energy efficient transmission in underwater sensor networks by providing the optimal transmitting energies for the nodes with fixed locations.

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Document Details

Document Type
Technical Report
Publication Date
Mar 10, 2014
Accession Number
ADA621910

Entities

People

  • Hadis Dashtestani
  • Ira S. Moskowitz
  • Paul Cotae

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Absorption Coefficients
  • Acoustic Detectors
  • Channel Capacity
  • Communication Channels
  • Detectors
  • Energy Consumption
  • Energy Efficiency
  • Frequency
  • Narrowband
  • Network Topology
  • Networks
  • Optimization
  • Sensor Networks
  • Throughput
  • Topology
  • Transmitting
  • Underwater Acoustic Communications

Readers

  • Acoustical Oceanography.
  • Computer Networking
  • Operations Research