A GA approach to the optimal placement of sensors in wireless sensor networks with obstacles and preferences
Yong Xu, Xin Yao · 2006
The wireless sensor network (WSN) has recently become an intensive research focus due to its potential applications in many areas. In this paper, we propose a new and efficient genetic algorithm (GA) to the optimal placement of sensors in a grid area with obstacles and preferences to minimize the number of sensors. A new sensor detection model is also introduced in this paper. Experiments show that our algorithm is able to achieve better results than previous heuristic algorithms.