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Wireless sensor network (WSN) consists of many sensors to monitor physical or environmental conditions, such as health condition monitoring, military applications temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass the data through network to a main location. The main characteristics of nodes in Wireless Sensor Network are low power and minimum processing. So it is essential to optimize the consumption of energy in WSN application. In this paper we introduce a new algorithm to increase life time of the sensor nodes in the network. Only few sensors are in active state in the covered regions and the remaining are in ideal. All the nodes change their status from active to ideal and ideal to active state periodically. Meantime the nodes which are in ideal state enable for a short period to check whether the active nodes are still active or not. If there is any failure nodes in the region ideal sensor get active and sense the data. As all the nodes changes their status periodically, few nodes only in active state and start to sense the data using its energy. So the energy of ideal nodes is saved and it will be used only when it gets active. The proposed algorithm provides close to optimal enhancement in the network life time and the output performs six times better than existing algorithm.