Enhancement of Throughput and Energy Effeiciency Using Enhanced Dynamic Power Consumption MAC Protocol in MANET

Mobile Ad-Hoc Networks, also known as MANETs, are a type of network that lacks infrastructure and consists of nodes that share information directly with one another. Nodes can join or depart the network at any moment if they are within transmission range. The routing procedure will determine whether there is communication taking place between mobile nodes (MN s). The process of determining the route between the origin and the intended destination to send the appropriate data packets is referred to as routing. In a MANET, the usage of routing strategies is necessary for the efficient delivery of data packets. Because there is less power in nodes, ensuring that the routing method is energy efficient is the primary concern. The process of conducting steps of a procedure in an iterative manner to locate the best possible answer is an example of an optimization strategy. The MANET platform was used by a substantial number of academics to conduct their investigations on energy-efficient static and dynamically optimized routing schemes. The MAC protocol for IEEE 802.11 has a power saving mechanism, although there are various restrictions placed on its use. In this research, we propose an improved MAC protocol known as the Enhanced Dynamic Power Consumption MAC protocol (EDPCMP), which is designed to conserve energy. It has been demonstrated that EDPCMP is superior to DPCMP in terms of maintaining a balanced throughput on the network and reducing energy consumption. The result of proposed method shows that, for 50 nodes it is observed that, throughput of EDPCMP is 74.61 % improved compared to SPCMP (Static Power Consumption MAC protocol) and for n=50 the throughput of EDPCMP is 61.42% improved compared with DPCMP (Dynamic Power Consumption MAC protocol). Similarly for 50 nodes it is observed that, energy consumption of EDPCMP is 71.22% improved compared to SPCMP and for n=50 the energy consumption of EDPCMP is 53.12% improved compared with DPCMP.