Typically, an energy-aware routing protocol based on fuzzy reasoning uses FLS either for adjusting some routing parameters or for estimating the energy-cost of a routing path. For example, in fuzzy path selection power-based AODV (FPSP-AODV) is proposed. To select a path for routing, number of hops, bandwidth and node remaining power are used to evaluate its cost. In a fuzzy-based virtual backbone (FVB) routing scheme for large-scale mobile adhoc networks is presented. FVB aims to maximize the network lifetime. For this purpose, the authors have developed a FLS with the following inputs: node residual energy, traffic and mobility. The FLS output indicates the node eligibility to be a cluster-head. Abirami et al. suggested using a FLS to choose energy efficient paths after a route discovery procedure. The FLS inputs are battery cost and power consumption of discovered paths. Hiremath et al. designed an adaptive energy efficient reactive routing protocol where mobile nodes use fuzzy residual-energy thresholds to decide RREQ forwarding. Chettibi and Chikhi have extended OLSR proactive routing protocol with a FLS for energy aware routing. Remaining energy and expected residual lifetime are used by a node to adjust its willingness parameter that reflects its ability to act as a router.