Optimal Layout of Wireless Sensors Networks Using Guided Hyperplane Evolutionary Algorithm
Wireless sensors networks are widely used to monitor the areas. In many WSN applications it is important to achieve a good coverage of the observed area while the energetic efficiency and the lifetime of the network are high. The task of placing the sensor nodes while addressing these objectives is known as WSN layout problem. As the optimal sensors network layout can be reformulated as a multi-objective optimization problem, the paper presents a possible use of GHEA technique for solving the considered problem.