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Due to the limited capacity of the sensors' batteries, energy is a critical resource in wireless sensors networks. Sleep mode operation is an effective approach to prolong the life time of the network. How to determine insomnious (wakeup) node is a critical component of this approach. There are a number of selection methodologies in the literature but all of them except randomized sleeping require local or global residual energy information exchanges among sensors. This can be very expensive especially in a densely deployed sensor network. In this paper, we propose to use Passive Clustering (PC) as a selection method and we further increase the service time of a sensor network by introducing an energy-aware selection mechanism. This mechanism allows balanced energy consumption among the sensor nodes. Each sensor determines being insomnious or not based on its residual energy and the number of neighbouring insomnious nodes and their energy level. An efficient flooding during each wake up period determines insomnious nodes in the network. GRIDS selects insomnious nodes well distributed in the sensor deployed area. The simulation results show that the selection mechanism distributes "evenly" the duty cycles among sensor nodes and thus considerably increase the network's lifespan as the result.