Title :
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
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;
Conference_Titel :
Computational Intelligence for Security and Defense Applications (CISDA), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9939-7
DOI :
10.1109/CISDA.2011.5945954
