Sensor network management using multiobjective evolutionary optimization

Author

Sakr, Z. ; Wesolkowski, S.

Author_Institution

Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ottawa, ON, Canada

fYear

2011

fDate

11-15 April 2011

Firstpage

39

Lastpage

42

Abstract

Wireless Sensor Networks through the use of their sensor nodes allow the monitoring of wide and remote terrains with great precision without the intervention of human operators. We have developed a methodology to examine trade-offs when establishing a wireless sensor network using a multiobjective optimization approach. The non-dominated sorting genetic algorithm II was implemented. Solutions were evaluated based on three objectives with the goal of minimizing the sensors´ cost, maximizing the area of coverage of the sensor field and minimizing the overlapping coverage between the sensor nodes. Sample results are provided and discussed.

Keywords

genetic algorithms; telecommunication network management; terrain mapping; wireless sensor networks; multiobjective evolutionary optimization; nondominated sorting genetic algorithm II; remote terrain monitoring; sensor nodes; wireless sensor network management; Energy efficiency; Evolutionary computation; Genetic algorithms; Optimization; Sensors; Sorting; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Security and Defense Applications (CISDA), 2011 IEEE Symposium on

Conference_Location

Paris

Print_ISBN

978-1-4244-9939-7

Type

conf

DOI

10.1109/CISDA.2011.5945954

Filename

5945954