Multipath routing protocol based on backward routing with optimal fuzzy logic in medical telemetry systems for physiological data measurements

Abstract

Mobile ad hoc network (MANET) performance is critically affected by the mobility and resource constraints of nodes. Node mobility will impact on connecting stability, and node resource limitations will result in congestion, so the development of a routing protocol that promotes quality of service (QoS) in MANET is quite difficult. In particular, frequent interrupting connection may degrade QoS performance in the high-speed node drive scenario, so it is required to build the MANET protocol routing which can be adapted for changes in the networking architecture to support QoS. Moreover, MANET's multipath routing is the most necessary for secure transmission that can be achieved if self-centered nodes in the MANET network are ignored. Secure routing guarantees the reliability of data, confidentiality, authorization and authentication and non-denial. A novel safe multi-way method for dependable data transfer, which depends on the quality of service, is offered in this study. The Ad Hoc on Demand Backward Routing protocol with Optimal Fuzzy Logic (OFL) is also designed to provide multi-path routing. The hybridization of the bat optimization approach provides the optimum route by generating rules in OFL, and hence chooses an optimal rule. The efficiency of the planned technique is evaluated for factors such as final delay, the packet delivery ratio and so on. When the node is 150, the proposed hybrid bat algorithm achieved 0.61 of average packet latency, where the existing technique Particle Swarm Optimization achieved nearly 1.2 to 1.3 packet latency. In this communication network, measurement of packet delivery ratio is an important task for establishing the communication network. The results show that our suggested work has more energy efficiency and network lifetime than existing ones.