LAUSR

In this paper, we develop a strategy that allows to optimize the typical deployment of sensors on a field and distribute the energy consumption of the wireless sensor network (WSN). This strategy is concerned with collecting information from the sensors more than the exact localization of a sensor. Therefore, we refer to the optimal placement of sensors, which measures in terms of distribution or density of sensors over regions, rather than its geographical location. Using this strategy we can maximize the network lifetime under the constraint that connectivity is preserved. Many applications such as border zone control (BZC), battle field surveillance, fire prevention/detection, etc., can employe the proposed strategy to achieve its missions. Here, two optimization problems are presented; one corresponds to short-term monitoring applications and the other corresponds to long-term monitoring ones. A mathematical analysis has been performed to find out a formula for the optimal placement of the sensor. To testify our work, a computer-based model is built using OpNet discrete event simulator. The results show that our optimization strategy outperforms the other proposed strategies. This is because the energy consumption based on our strategy tends to be evenly distributed (i.e. resembles a uniform distribution) over the entire network.