Analysis of Optimization Based Routing Protocol for WBAN

Abstract

Medical and psychological applications are expected to benefit substantially from the use of Wireless Body Area Networks (WBAN). As the enormous amount of healthcare data evolves, it becomes more and more difficult to locate any meaningful information. Because in view of integrating IoT into almost all fields, including healthcare, animal monitoring and tracking in all sectors, In order for the WBAN-enabled IoT technology to optimise the functioning of healthcare applications, there must be sufficient support from all the protocol stack levels. Therefore, the network layer protocol has lately attracted an excellent deal of attention within the field of WBANs due to its capacity to manage and coordinate the info packets with minimum energy and avoid congestion. This study is to determine the optimum approach, fitness functions for simulated WBAN routing algorithms are evaluated using routing metrics such as PDR and energy under various optimization approaches. Finally, certain open research issues and early research objectives in the domain are identified and compared across various optimization techniques for WBAN routing protocols.