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Journal ArticleDOI

Intelligent Hello Dissemination Model for FANET Routing Protocols

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TLDR
An intelligent Hello dissemination model, AI-Hello, based on reinforcement learning algorithms, that adapts the hello message interval scheme is proposed to produce a dense reward structure, and facilitating the network learning.
Abstract
The routing mechanisms in flying ad-hoc networks (FANETs) using unmanned aerial vehicles (UAVs) have been a challenging issue for many reasons, such as its high speed and different directions of use. In FANETs, the routing protocols send hello messages periodically for the maintenance of routes. However, the hello messages that are sent in the network increase the bandwidth wastage on some occasions and the excessive number of hello messages can also cause the problem of energy loss. Scarce works deal with the problem of excessive hello messages in dynamic UAVs scenarios, and treat several other problems, such as bandwidth and energy wastage simultaneously. Generally, the existing solutions configure the hello interval to an excessive long or short time period originating delay in neighbors discovery. Thus, a self-acting approach is necessary for calculating the exact number of hello messages with the aim to reduce the bandwidth wastage of the network and the energy loss; this approach needs to be low complex in terms of computational resource consumption. In order to solve this problem, an intelligent Hello dissemination model, AI-Hello, based on reinforcement learning algorithms, that adapts the hello message interval scheme is proposed to produce a dense reward structure, and facilitating the network learning. Experimental results, considering FANET dynamic scenarios of high speed range with 40 UAVs, show that the proposed method implemented in two widely adopted routing protocols (AODV and OLSR) saved 30.86% and 27.57% of the energy consumption in comparison to the original AODV and OLSR protocols, respectively. Furthermore, our proposal reached better network performance results in relation to the state-of-the-art methods that are implemented in the same protocols, considering parameters, such as routing overhead, packet delivery ratio, throughput and delay.

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Citations
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Journal ArticleDOI

LoRa Technology in Flying Ad Hoc Networks: A Survey of Challenges and Open Issues

TL;DR: In this paper , the role of LoRa in FANETs is discussed. And open issues in protocol design are discussed, as well as other challenges associated with the use of LoRA in the deployment of FANets.
Proceedings ArticleDOI

An implementation of intelligent routing scheme to find the efficient network management in Wireless sensor networks

Richa Dogra, +1 more
TL;DR: In this article , the authors present a peer-to-peer sensor architecture, which is a combination of topology, access method and standards required to create a workable sensor.
Journal ArticleDOI

Multi-Objective Message Routing in Electric and Flying Vehicles Using a Genetics Algorithm

Muhammad Alolaiwy, +1 more
- 18 Jan 2023 - 
TL;DR: In this paper , the authors highlight the challenges in message routing in a unified paradigm of electric and flying vehicles (EnFVs) and propose a modified genetics algorithm for message routing.
Proceedings ArticleDOI

Time-Topology Routing in 3D Networks

TL;DR: In this paper , the authors proposed a time-topology routing method that defines a series of variable-length time frames, its associated temporal topology, and corresponding routing information to provide stable communication in time-varying 3D networks with node mobility and environment changes.
Journal ArticleDOI

Modelling and Modular Supervisory Control for the AODV Routing Protocol

TL;DR: In this paper , the authors proposed a distributed supervisory control architecture for the AODV routing protocol in a network with parametric number of nodes in the Ramadge Wonham (RW) framework.
References
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Ad hoc On-Demand Distance Vector (AODV) Routing

TL;DR: A logging instrument contains a pulsed neutron source and a pair of radiation detectors spaced along the length of the instrument to provide an indication of formation porosity which is substantially independent of the formation salinity.

Optimized Link State Routing Protocol (OLSR)

TL;DR: The Optimized Link State Routing protocol is an optimization of the classical link state algorithm tailored to the requirements of a mobile wireless LAN and provides optimal routes (in terms of number of hops).
Journal ArticleDOI

Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing

He Li, +2 more
- 26 Jan 2018 - 
TL;DR: This article first introduces deep learning for IoTs into the edge computing environment, and designs a novel offloading strategy to optimize the performance of IoT deep learning applications with edge computing.
Journal ArticleDOI

Networking Models in Flying Ad-Hoc Networks (FANETs): Concepts and Challenges

TL;DR: The challenges with using Uavs as relay nodes in an ad-hoc manner are identified, network models of UAVs are introduced, and open research issues with analyzing opportunities and future work are depicted.
Journal ArticleDOI

Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review

TL;DR: The conclusion is that IoT and UAV are two of the most important technologies that transform traditional cultivation practices into a new perspective of intelligence in precision agriculture.