There are many real time environment in which the use of wireless sensor networks (WSNs) is growing, especially the applications like military, health monitoring, security monitoring etc. WSN is nothing but collection of small, tiny sensor nodes which is having resource constraints like battery life. Therefore many research comes on WSNs are targeted on improving the energy efficiency of WSNs and extend the lifetime. In this paper, we are focusing to work on packet scheduling scheme which plays vital role to improve the energy efficiency and QoS performances. Currently there are many packet scheduling schemes used by researchers in WSNs applications such as First Come First Serve (FCFS), preemptive priority scheduling, non-preemptive priority scheduling methods.
However this method suffered from limitations like higher routing overhead, more end to end delay and hence more energy consumption. In this paper, we are aiming to investigate new algorithm which overcomes the limitations of this existing method and achieves the better QoS and less energy consumption results. The investigated algorithm is called Dynamic Multilevel Priority (DMP) scheduling method. As the name indicates, this method works dynamically and as per the requirement of packet scheduling. There are three queues used by this algorithm for priority scheduling and applications like real time, non-real time. In first queue, real time packets processed with highest priority. In second queue, non-real time data packets processed with highest priority than third queue. In third queue, non real time data packets those are sensed at local are processed. The practical evaluation of this method is done using NS2.