Objectives: The main aim of this paper is to optimize energy of the wireless sensor nodes by applying hybrid data collection and smart sleep mechanism in the sensor network. Methods/Analysis: In energy-constrained wireless sensor networks, energy efficiency is critical for prolonging the network lifetime. The instable dissemination of communication loads often roots nodes in some region to be drained faster than the nodes in other regions. This will affect the network lifetime. Findings: When compared with Power-Efficient Gathering in Sensor Information Systems (PEGASIS), Low Energy Adaptive Clustering Hierarchy (LEACH) and Delay Aware Network Structure (DANS), the simulation outcomes show that proposed achieves its intention of less energy depletion, matching the energy depletion of all the nodes, alleviating the data gathering, and prolonging the network lifetime. Conclusion/Application: The hybrid technique prolongs the network lifetime and thus large amount of data can be easily collected by sensors and then routed to sink. In war fields or in conditions of natural disasters wireless senor networks could be deployed with this proposed technique for maximization of network life time.