Proficient Energy Consumption Algorithm Using HMAC and ANT Colony-Based Algorithm

In this research we deal with Ant colony-based clustering algorithm (BACCA) for wireless sensor networks which uses low energy adaptive cluster hierarchy (LEACH) as its prototype a good approximation of a proactive network protocol in the case of adaptive routing. Based on this we estimate the amount of energy consumed by these in each case then we use hybrid medium access control (HMAC) used along with TDMA Multiple hop in a single medium access control, end-to-end quality of service, Latency sensitive traffic flows, and high priority channel access. It is shown by computer simulation that these mechanisms result in a significant improvement in energy consumption. Similarly in the final half we do consider the bandwidth utilization using (SFF) and dynamic first fit (DFF) by which we minimize the bandwidth which is a constrain for many user in the case of adaptive routing.