A Reliable Link-adaptive Position-based Routing Protocol for Flying Ad hoc Network

TL;DR

This paper introduces RLPR, a new routing protocol for FANETs that improves reliability and performance by using link-adaptive, position-based metrics to select optimal relay nodes, outperforming existing protocols.

Contribution

The paper proposes RLPR, a novel link-adaptive position-based routing protocol for FANETs that considers node speed, signal strength, and energy to enhance reliability and efficiency.

Findings

RLPR achieves higher connectivity and reliability in FANETs.

RLPR reduces end-to-end delay compared to RARP and AODV.

Simulation results confirm RLPR's superior performance.

Abstract

Flying ad hoc network (FANET) provides portable and flexible communication for many applications and possesses several unique design challenges; a key one is the successful delivery of messages to the destination, reliably. For reliable communication, routing plays an important role, which establishes a path between source and destination on the basis of certain criteria. Conventional routing protocols of FANET generally use a minimum hop count criterion to find the best route between source and destination, which results in lower latency with the consideration that there is single source/destination network environment. However, in a network with multiple sources, the minimum hop count routing criterion along with the 1-Hop HELLO messages broadcasted by each node in the network may deteriorate the network performance in terms of high End-to-End (ETE) delay and decrease in the lifetime of the network. This research work proposes a Reliable link-adaptive position-based routing protocol (RLPR) for FANET. It uses relative speed, signal strength, and energy of the nodes along with the geographic distance towards the destination using a forwarding angle. This angle is used to determine the forwarding zone that decreases the undesirable control messages in the network in order to discover the route. RLPR enhances the network performance by selecting those relay nodes which are in the forwarding zone and whose geographic movement is towards the destination. Additionally, RLPR selects the next hop with better energy level and uses signal strength and relative speed of the nodes to achieve high connectivity-level. Based on the performance evaluation performed in the Network simulator (ns-2.35), it has been analysed that RLPR outperforms the Robust and reliable predictive based routing (RARP) and Ad hoc on-demand distance vector (AODV) protocols in different scenarios.