Knowledge Analytics in IOMT‐MANET Through QoS Optimization for Sustainability
Neha Sharma, Nida Iftekhar, Samia A. Khan · 2022
Internet of Things ( IoT ) is a well-known term used nowadays and the reason behind its popularity is its vast range of applications to target real-time problems. Internet of Medical Things ( IoMT ) is a real-time application of IoT only. IoMT has made it possible to collaborate with distinct well-efficient and well-established mechanisms of the healthcare domain. The consolidated endeavor of the Mobile Ad-hoc Network ( MANET ) and IoMT has opened up novel ventures in the field of communication. Considering the COVID-19 scenario, it is no longer safe for patients to attend hospital appointments for on-going severe medical conditions, as they are at high risk of being infected by the CORONA virus. So, the IoMT-MANET can contribute to maintaining the safety of regular patients, as they can now get in touch with their doctors digitally. The contribution of MANET has uplifted the performance of the IoMT environment. MANET has supported IoMT functionality in terms of efficient routing by applying one of its best hybrid routing protocols, Zone Routing Protocol ( ZRP ). In this chapter, it has been proposed to achieve optimization in the communication of IoMT by applying the functionality of a nature-inspired optimization approach IWD ( Intelligent Water Drop ). The IWD approach is well adapted for optimization and is one of the mechanisms that has been very little explored to date. The primary concept of IWD is based upon the behavior of the water drops contained in rivers. It is observed that these water drops always choose the shortest path to their destination. In order to evaluate the efficiency of the proposed approach, a group of standard performance evaluation parameters has been adopted that consist of parameters such as: Packet Delivery Ratio ( PDR ), E2E Delay, overall Throughput, Normalized Routing Load ( NRL ), Packet Loss Ratio ( PLR ), etc. Efficiency depicted through these parameters has enhanced the performance of the proposed approach in comparison with ZRP and a route aggregated ZRP , i.e., RA-ZRP .