Abstract: In wireless sensor networks, the sensor nodes collect information and it sends the information to a base station occasionally. Some important messages are required to be broadcasted in all nodes proficiently. Data aggregation and broadcasting are important operations that consume significant amount of battery power. Constant approximation algorithm for the 2-Disk model does not broadcast the data back to a fixed sink node. The major difference is that in a broadcast, a sink node transmit packets to many nodes at the same time while in a data aggregation, many nodes cannot transmit to one sink in one time slot. Energy efficient MAC protocol for WSN avoids overhearing and reduces contention delay by asynchronously scheduling the wakeup time of neighboring nodes but data aggregation property is not introduced effectively. To overcome this Multiple Sampling Reverse Direction Broadcast (MS-RDB) method was constructed. MS-RDB uses the data aggregation process to transmit all node information to sink node in one time slot. Because of limited battery life, energy efficiency is becoming a main demanding problem in these power-constrained networks. MS-RDB constructs a reverse transmission sequence for connecting all nodes to save energy dissipation of data transmission. An energy efficient MS-RDB algorithm is developed which uses a sequence of insertions to add the least amount of energy consumption on the whole sequence. It consumes less transmission power on data aggregation processes compared to the existing 2-disk model and energy efficient MAC protocol. NS2 simulator is used to perform the experimental work of MS-RDB method in terms of normalized throughput, energy consumption, reverse broadcasting efficiency, delay rate, transmission latency and packet loss rate.