The internet of things ( IoT) is becoming very popular in several fields due to its autonomous, low-cost sensor operations. In health and medical applications, IoT devices develop ecosystems to detect patient health conditions such as blood pressure, oxygen level, heartbeat, temperature, etc. and take appropriate measures in an emergency. This is used to transfer healthcare data from patients to remote users and post-analysis medical centers. Various solutions have been suggested to monitor the health condition of patients using the Wireless Body Area Network (WBAN) based upon low power nodes but demanding and interesting difficulties are preventing increased energy consumption and communications costs. The issue of unbalanced energy consumption between biosensor nodes degrades the timely transmission of information from patients to remote centers and negatively affects the medical system. In addition, the patient’s sensitive data is transmitted over the insecure internet and is subject to vulnerable security risks. The privacy of data and malicious traffic integrity are therefore another major problem in medical research. This research paper aims to establish a proposed sustainable, secure and energy-efficient Internet of Medical Things (IoMT) based framework for e-healthcare which aims primarily at decreasing the overhead contact and energy usage between biomass sensors while conveniently transmitting health data, and also at safeguarding patients’ medical information against unauthentic and malicious nodes.