Joint optimal placement and energy allocation of underwater sensors in a tree topology

Author

Dashtestani, Hadis ; Cotae, Paul ; Moskowitz, Ira S.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of the District of Columbia, Washington, DC, USA

fYear

2014

fDate

19-21 March 2014

Firstpage

1

Lastpage

6

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.

Keywords

channel capacity; telecommunication network topology; underwater acoustic communication; wireless sensor networks; KKT conditions; Karush-Kuhn-Tucker conditions; channel capacity; energy allocation; energy consumption; energy efficient transmission; horizontal distances; joint optimal placement; multihop hierarchical tree structure; optimal transmitting energy; tree topology; underwater acoustic sensor nodes; underwater sensor networks; vertical distances; wireless links; Capacitive sensors; Energy efficiency; Resource management; Topology; Wireless communication; Wireless sensor networks; KKT; acoustic channel; channel capacity; energy efficiency; non-linear optimization; tree topology; underwater sensor communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Sciences and Systems (CISS), 2014 48th Annual Conference on

Conference_Location

Princeton, NJ

Type

conf

DOI

10.1109/CISS.2014.6814186

Filename

6814186