<p>Pervasive computing is a revolutionary computing paradigm that foresees the connectivity of embedded processors from any location, and wireless networks are at the centre of this vision. The rising prevalence of chronic diseases including diabetes is mostly attributable to rising costs of living, increased competition, and increased stress levels. The global economy has felt the effects of rising healthcare costs. Researchers' interest in applying technology to improve health care has been piqued as a result. As a result of wireless sensor networks, we now have wireless body sensor networks, which are making healthcare more proactive and preventative. The success of the healthcare system depends on the rapid transmission of time-sensitive physiological data to the doctor. As a result, we have developed a PSO-based scheme for congestion-free transmission of vital data in health monitoring systems. The primary goal of this method is to provide an efficient routing mechanism that can avoid congestion. The study presents a method for prioritising and aggregating sensor data. It arranges for the fastest possible routing path to be used to send urgent packets. It reduces the network's overall energy consumption and lengthens the network's lifespan. Additionally, it avoids congestion by favouring paths with a lower expected packet throughput. Extensive testing in NS-2 has demonstrated that the enhanced version of PPI performs better than the state-of-the-art methods in terms of transmission delay of crucial packets, packet delivery ratio, sensor node residual energy and computational complexity.</p>