Elevating Mobile Adhoc Network Performance through Service Priority-Based Dynamic TDMA Scheduling (SP-DS)

Wireless sensor networks with fixed power are widely used and reasonably priced. Nevertheless, they encounter energy limitations, RF interference from surrounding noise, and mote failures. For message delivery in such networks to be dependable, energy-efficient, and scalable, routing protocols need to solve these issues. On the other hand, meeting these needs presents competing obligations. The goal of the project is to improve mobile Adhoc network performance by using dynamic TDMA scheduling (SP-DS) depending on service priority. This study proposes a trustworthy and effective routing method that minimizes energy economy trade-offs while achieving scalable and predictable performance. Four factors are used by the EAR routing design to continually establish and sustain the optimal routes: a weighing mixture of predicted path length, energy levels, link transmissions effectiveness history, and these four factors combined. The allocation strategy must adjust to the service's changing demands and prioritize the information about the service when it comes to resource availability in order to ensure the timely efficacy of various kinds of viewed service information. A SP-DS approach is the first strategy. Combining the SP-DS algorithm results in the new method. In comparison to the traditional method, throughput evaluation is 660 kbps for SP-DS and 115 joules for energy consumption.