Implementation of Leaky Bucket with deep learning Algorithm to Avoid Congestion in DEC Protocol in medical applications

Abstract

A wireless sensor network is a critical component in many disciplines. There are a large number of sensor nodes in it. These sensor nodes perform various tasks, including identifying, dispensing, communicating, and providing power. Data is sent from source to destination and plays an important role. Congestion will occur during data transfer =0>0from one node to another and in the cluster head. Congestion will emerge as a result of either traffic division or resource allocation. Energy will be wasted due to traffic division congestion, which results in packet loss and retransmission of deleted packets. As a result, it must condense. Congestion management will be handled by a few wireless sensor networks using various protocols. Deterministic Energy Efficient Clustering (DEC) protocol is considered to reduce energy consumption based on residual energy in which the leaky bucket algorithm is cast-off. In the event of congestion, our plan outlines a strategy for dealing with and resolving it using this manner. According to simulation testing, the suggested approach may significantly improve longevity, energy, throughput, and packet loss.