An Energy Efficient Model for Node Ranking and Routing path Computation using Optimal Type-2 Fuzzy Logic Controller

Abstract

Abstract The mobile ad hoc network (MANET) network is mainly formed by interconnected wireless mobile devices with restricted residual battery power which necessitates the need for an energy-efficient design. The MANET routing protocol mainly improves the network lifetime through efficient energy utilization. To improve the network lifetime, an optimized link-state routing (OLSR) protocol is formed by integrating the Interval Type-2 Fuzzy Logic Controller and Modified Dingo optimization (MDO) (IT2FLC-MDO) algorithm. The IT2FLC-MDO algorithm designed for the OLSR protocol formulates the routing issue as an optimization problem. The heterogeneous nature of the mobile nodes also affects the efficiency of the routing scheme. The energy-aware Quality of Service (EQoS) features are incorporated by the IT2FLC-MDO algorithm to enhance the OLSR protocol efficiency. The different EQoS features are the node speed, queue length, distance, lifetime, remaining battery capacity, etc. A multicriteria node Rank Metric (MCNR) is computed for the EQoS features to minimize the overhead complexity associated with broadcasting different EQoS features separately. The experiments are conducted using the ns2 simulator via different performance metrics such as end-to-end delay, packet delivery ratio, normalized control overhead, energy computation, and message success rate. The simulation results show that the proposed IT2FLC-MDO protocol improves the MANETS lifetime and also the consistency in data delivery.