Routing and collision avoidance techniques for unmanned aerial vehicles: Analysis, optimal solutions, and future directions

Sharma, Bhisham; Obaidat, Mohammad S.; Sharma, Vinay; Hsiao, Kuei‐Fang

doi:10.1002/dac.4628

Cited by 67 publications

(7 citation statements)

References 131 publications

(124 reference statements)

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“…This may be investigated further together with hybrid BIA. v) Security Due to the open link between satellites and base stations, FANET transmission is susceptible to attacks like DoS, MITM, and eavesdropping [21]. With security criteria (availability, integrity, confidentiality, authenticity, nonrepudiation, authorization and anonymity), it is possible to determine whether an Ad hoc network is secure.…”

Section: V)mentioning

confidence: 99%

Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review

et al. 2023

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Flying Ad hoc Network (FANET) is a self-organizing wireless network that constitutes swarms of flying nodes, namely Unmanned Aerial Vehicles (UAV), and communicates in close proximity. It has various distinguishing characteristics that set it apart from other ad hoc networks, posing some issues, particularly in routing. UAVs are highly dynamic and have frequent topology changes. Hence, the network urges an efficient routing technique to coordinate the node swarms and enhance the evaluation metrics of the network. The biological behavior of various living organisms, such as animals, insects, microbes, and humans, inspires researchers to solve various routing problems in ad hoc networks. Decentralized self-organized swarms of UAVs closely resemble the biological system. Therefore, the Bio-Inspired Algorithms (BIA) resolve a wide range of routing challenges in FANET. A Systematic Literature Review (SLR) is adopted to survey FANET routing methods based on non-hybrid and hybrid BIAs to properly comprehend the existing bio-inspired strategies used in FANET routing. The review will be beneficial for the researchers in the specified area. To our knowledge, no SLR has been conducted about the FANET routing protocol that employs BIA. This paper examines (1) the characteristics and features of existing routing algorithms, (2) the need of both non-hybrid and hybrid BIA for effective and optimal routing, (3) an analysis of the method's simulation tools, evaluation metrics, and mobility models, (4) the current issues and scope of the study related to the specified method.INDEX TERMS Bio-Inspired Algorithm (BIA), Flying Ad hoc Networks (FANET), Metaheuristic optimization, Systematic Literature Review (SLR), Unmanned Aerial Vehicle (UAV).

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Section: V)mentioning

confidence: 99%

Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review

et al. 2023

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“…Several SHM techniques are being considered or applied in addition to recent developments in relative vacuum monitoring (CVM), and laser Doppler vibrometry (LDV) and fiber Bragg grating (FBG) in aviation and various other sectors (such as wind turbine blades). Six-volume encyclopedia on sensors, different kinds of piezoelectric transducers, and PZT principles utilized in structural health monitoring [10].…”

Section: Structural Health Monitoringmentioning

confidence: 99%

Recent Developments in the Field of Thermal Barrier Coatings Solutions for Structural Repair

Joseva,

Robinson Smart,

Raja

et al. 2023

jacp

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The aerospace industry relies heavily on the structural integrity and performance of aircraft to ensure safe and efficient operations. Over time, aircraft structures can experience wear, corrosion or damage due to various factors such as environmental conditions, fatigue or accidents. Structural repairs are necessary to maintain the airworthiness of aircraft and extend their operational life. These brief highlights the importance of coating solutions in structural repair for aerospace. Coatings play an important role in protecting aircraft structures from degradation, preventing further damage and restoring their mechanical properties. In addition, coatings can improve aerodynamic performance, improve fuel efficiency and reduce maintenance costs. The brief discusses the various types of coating solutions used in aeronautical structural repair. These include corrosion-resistant coatings, abrasion-resistant coatings, heat-resistant coatings, and composite bonding systems. Each type of coating serves a specific purpose in mitigating structural damage and restoring the structural integrity of aircraft components. Also, the brief explores the key properties and characteristics of effective coating solutions. These properties include adhesive strength, flexibility, durability, weight considerations, chemical resistance, and thermal stability. Understanding these properties is critical to selecting the appropriate coating solution for specific repair applications. Also summarizes the challenges and considerations associated with coating applications in aerospace structural repair. These challenges include surface preparation, application techniques, curing processes, compatibility with existing coatings and compliance with regulatory requirements. Overcoming these challenges is essential to ensure the successful implementation of coating solutions in structural repair operations. Finally, the abstract discusses emerging trends and developments in aeronautical structural repair coating technologies. These include eco-friendly coatings, self-healing coatings, nano-coatings and smart coatings with sensing capabilities. These developments hold promise for improving the effectiveness and efficiency of structural repair processes in the aerospace industry.

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“…14 In addition to this, the optimum routing path selection for data distribution is a challenging problem. [15][16][17] The network lifetime is described as the time until the initial node die or the time till the final node dies. When the first node dies, the network stability rate decreases, and the entire network performance is not as good as before.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, development and design of the robust and energy‐efficient routing protocol are required for the energy‐restricted applications 14 . In addition to this, the optimum routing path selection for data distribution is a challenging problem 15–17 . The network lifetime is described as the time until the initial node die or the time till the final node dies.…”

Section: Introductionmentioning

confidence: 99%

Energy‐efficient model using optimal route discovery based on adaptive spider monkey optimization model

Justus

Muthukrishnan

Jothi

2022

Int J Communication

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Summary During the past few years, wireless sensor networks (WSNs) have created a substantial interest because of their capabilities namely, self‐healing and self‐organizing under restricted network resources. Numerous WSN‐based routing algorithms are implemented to perform well, but the energy consumption of every data packet and information loss is more. Due to the power restriction in the sensor nodes, energy consumption is regarded as the major issue in networks that need to be minimized to improve the network lifetime. Hence, to conquer these consequences, this paper aims to propose an adaptive spider monkey optimization (ASMO)‐based effective optimal routing path from various sensor nodes with enhanced network lifetime. Here an ASMO is employed in selecting an optimal routing path. In addition to this, the proposed ASMO algorithm is capable of selecting energy‐aware routes by energy consumption. It also chooses the routes with minimum end‐to‐end delay using the bare least hop count criteria, thus enhancing the network life span. The results of the proposed method are compared with other methods such as DMEERP, EGSMRP, EEIABC, and RACO. The results reveal that the proposed approach consumed less amount of energy; hence, network lifetime is more when compared with other approaches.

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Routing and collision avoidance techniques for unmanned aerial vehicles: Analysis, optimal solutions, and future directions

Cited by 67 publications

References 131 publications

Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review

Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review

Recent Developments in the Field of Thermal Barrier Coatings Solutions for Structural Repair

Energy‐efficient model using optimal route discovery based on adaptive spider monkey optimization model

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