Sensor network management using multiobjective evolutionary optimization
Ziad Sakr, Slawomir Wesolkowski · 2011
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.