to keep up with inventory and track objects. However, keeping track of items in a system with RFID tags that transmit data to a cloud server increases the chances of security risks, as there are now more digital elements to keep track of. A three way mutual authentication can occur between RFID tags, the tag readers, and the cloud network that stores this data in order to keep RFID tag data secure and unable to be manipulated. Similarly, an alternate RFID tag and reader system that assigns designated readers to tags has been proposed for extra security and low memory cost. Instead of considering all tag readers as one entity, only certain readers can read specific tags. With this method, if a reader is breached, it will not affect the whole system. Individual readers will communicate with specific tags during mutual authentication, which runs in constant time as readers use the same private key for the authentication process. Many e-Healthcare systems that remotely monitor patient health data use wireless body area networks (WBAN) that transmit data through radio frequencies. This is beneficial for patients that should not be disturbed while being monitored, and can reduced the workload for medical worker and allow them to focus on the more hands-on jobs. However, a large concern for healthcare providers and patients about using remote health data tracking is that sensitive patient data is being transmitted through unsecured channels, so authentication occurs between the medical body area network user (the patient), the Healthcare Service Provider (HSP) and the trusted third party. Cloud based computing e-Healthcare clouds are another way to store patient data collected remotely. Clouds are useful for storing large amounts of data, such as medical information, that can be accessed by many devices whenever needed. Telecare Medical Information Systems (TMIS), an important way for medical patients to receive healthcare remotely, can ensure secured data with mutual authentication verification schemes. Blockchain is one way that has been proposed to mutually authenticate the user to the database, by authenticating with the main mediBchain node and keeping patient anonymity. Fog-cloud computing is a networking system that can handle large amounts of data, but still has limitations regarding computational and memory cost. Mobile edge computing (MEC) is considered to be an improved, more lightweight fog-cloud computing networking system, and can be used for medical technology that also revolves around location-based data. Due to the large