## 1 Introduction  
Mobile ad hoc networks (MANETs) have been attracting great interest in the past twenty years. The routing problem of establishing an efficient stationary path between a source and a destination through multiple mobile intermediate nodes is very challenging due to the movement of the intermediate nodes, limited wireless resources, the heterogeneity of the transmission power of the nodes, and the lossy characteristics of a wireless channel. The efficiency of a route depends on the cooperation of all intermediate nodes participating in data transmissions. These restrictions make the route selection problem particularly difficult; thus, researchers have developed several routing algorithms for mobile ad hoc networks MANETs [1]. The applications of MANETs architecture range from civilian applications (e.g., distributed computing) to disaster relief (e.g., floods, earthquakes) and military applications (e.g., automated battlefield). Human-to-human communication plays a significant role in these applications. Therefore, the ability to support multimedia communications is an essential qualification for routing protocols operating in MANETs. Conventional routing protocols that have been designed for MANETs facilitate communication between mobile devices in the absence of network infrastructure. However, these protocols suffer from frequent intermittent connectivity, long end-to-end latency, and large overheads introduced by the routing protocol's control messages. These limitations are a stumbling block for network capacity scaling [2]. In addition, [PERSON] and [PERSON] [3] demonstrated that the per-node average throughput of a multi-hop wireless network of \(n\) nodes scale as \(O=(1/\sqrt{nlogn})\), and can decrease roughly in proportion to the inverse square root \((1/\sqrt{n})\) of the number of nodes in the network. This result has significant implications for designing routing protocols that can scale in wireless networks [4]. These limitations of conventional routing protocols demand a new and novel communication paradigm for a highly dynamic wireless network. In MANETs, since the network environment varies, the routing protocol needs to be adaptable enough to work in highly dynamic environments. In MANETs, a wireless communication link between nodes is impairment due to nodes mobility and susceptibility to being affected by the fading of the wireless channel. The quality of a wireless connection between nodes highly depends on multiple factors, such as the available bandwidth of participating nodes, the transmission power, node mobility, and the link quality. In the next-hop forwarder selection process, these factors should be considered jointly to establish a stable and robust routing scheme. Therefore, a flexible design that can integrate all these performance metrics is required. Accordingly, it is challenging to drive a mathematical model to evaluate wireless link, since these metrics may conflict with each other. In addition, the network connectivity and routing performance dependent on all direct wireless links constituting the source-destination path. Therefore, we form the next-hop forwarder selection algorithm from a multi-hop perspective. To solve the problems mentioned above and to exploit the broadcast nature and spatial diversity of the wireless medium to enhance routing performance, Opportunistic Routing (OR) has been proposed [5]. The main idea of OR is that, instead of establishing an end-to-end path and relying on pre-selecting a single specific next-hop, multiple nodes can potentially serve as the next-hop forwarders. In the OR algorithms, there is no specific single next-hop forwarder. In this paper, we propose FQ-AGO, Fuzzy Logic Q-learning Based Asymmetric Link Aware, and Geographic Opportunistic Routing Scheme for MANETs. The proposed routing scheme relies on fuzzy logic [6] to evaluate a wireless link by considering multiple routing metrics, such as the available throughput, distance progress, node transmission power, and link quality.