Objectives: The design of Energy efficiency wireless sensor network is a challenging research since battery is consider as power source to the sensor nodes. Recharging battery is very difficult and impossible in some cases. Methods/Analysis: In Wireless sensor networks, clustering techniques consist of partitioning the network into a various number of sensor groups called clusters. The clustering technique selects the cluster heads in the rotation manner to perform data aggregation operation. Findings: To prolong the lifespan of a network, sensor nodes are scheduled to sleep dynamically. Sleep Scheduling (SS) mechanism is the most widely used technique for efficiently managing network energy consumption. In this paper, we provide a survey on energy-efficient scheduling mechanisms in Wireless sensor networks that has different network architecture than the traditional Wireless Sensor Networks.