Abstract
With the wide-ranging application of mobile ad hoc networks, flying ad hoc networks (FANETs) have received more and more attention from the industry. Routing technology is a key technology of ad hoc networks. The high-speed mobility of nodes poses a greater challenge to FANET routing technology. Based on the Dynamic Source Routing (DSR) protocol, the continuous Hopfield neural network is used to optimize the route to be adapted to the high-speed movement of the FANET node. In a simulation using NS3, the result shows that the optimized DSR protocol has greatly improved key indicators such as end-to-end average delay, throughput, and packet delivery ratio.
Highlights
In the past, mobile ad hoc networks (MANETs) had been applied more and more, and have expanded into the air to form flying ad hoc networks (FANETs) [1]
The FANET network node is mapped to the continuous Hopfield neural network (CHNN), and the optimal route is searched through the dynamic evolution of the neural network state
The results show that node mobility has a great impact on the routing in FANETs
Summary
Mobile ad hoc networks (MANETs) had been applied more and more, and have expanded into the air to form flying ad hoc networks (FANETs) [1]. As an improved mobile ad hoc network, FANETs use the aircraft as a node for transmitting, receiving, or forwarding over the air wireless communication. It can set up a network at any time and any place without any fixed facilities and realize a multi-aircraft system. The FANETs have the commonality of traditional MANETs, such as no center, multi-hop, self-organization, and self-healing, but are given their specific design goals and network characteristics. For the highly dynamic FANETs, the strong mobility of a node
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