Link-Quality and Traffic-Load Aware Routing for UAV Ad Hoc Networks

Pu, Cong

doi:10.1109/cic.2018.00-38

Cited by 54 publications

(34 citation statements)

References 26 publications

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“…Load-carry-and-deliver Implemented a relay and routing protocols (LCAD) static routing [109] Large latency issues function in an ad-hoc network [110] Static routing [110] Does not allow to change the can replace with it routing tables during the mission dynamic routing. uses delay tolerant forwarding UAV must be enough Hybrid Packet and end-to-end routing, intelligent, it can be forwarding [111] which is not efficient possible by incorporating ML techniques wireless connections which are highly vulnerable to attacks such as data tampering, DoS attacks, and eavesdropping [115].…”

Section: Packet Forwardingmentioning

confidence: 99%

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

2021

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With the rapid growth in technology, the use of Unmanned Aerial Vehicles (UAVs) have increased in civil and military applications including rescue operations, disaster recovery, and military operations. Despite the utility and advantages of UAVs, they may lead to major security breaches in the context of hardware, software, and communication channel, due their ease of use and availability. UAVs are vulnerable to various types of attacks such as spoofing, false data injection, jamming, fuzzing, availability, confidentiality, and integrity attacks. To overcome these security threats, researchers have been investigating strong security protocols to keep UAVs safe from the attackers. Nevertheless, there are many flaws in the developed protocols which can be exploited by hackers. Therefore, it is becomes crucial to study and analyze the existing security protocols used in UAVs to discover and address their vulnerabilities and weaknesses. The purpose of this study is to explore the vulnerabilities in the security protocols and propose guidelines to improve the security and provide future research directions.

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Section: Packet Forwardingmentioning

confidence: 99%

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

2021

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“…Moreover, a load factor is calculated using the buffer load of the node and its neighbors, which avoids selecting the congested paths in the path selection phase. In a similar approach, a link-quality and traffic-load aware OLSR (LTA-OLSR) protocol is proposed in [26], in which the statistical information of received signal strength is used to find the link quality. The traffic load of each UAV is obtained using the node's buffer load and the channel utilization (which is an indication of neighbors' traffic load).…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, it dispatches data through a routing pipe which significantly improves the throughput. Similar to [25], [26], it is a loadbalanced routing scheme, but does not require frequent update of the link state information required by proactive approaches. However, it requires the distribution of the updated geometric address table, which is not very frequent in the formation-based UAV network, considered in this paper.…”

Section: Related Workmentioning

confidence: 99%

“…To make SSR support high-throughput and low-latency communication for high-priority traffic, the per-hop service delay is defined as the cost, i.e., the time duration from the moment the packet enters the queue to the moment it is successfully delivered, denoted by c SD vu . It represents the queue length and the channel utilization (i.e., the medium access delay in contention based protocols) and hence, leads to a load-balanced solution [25], [26]. It also indirectly tells about other situations such as RF interference, channel collisions and link handoff.…”

Section: Cost Functionmentioning

confidence: 99%

“…The SSR performance is compared with FANET routing protocols ML-OLSR [25] and LTA-OLSR [26], which are load-aware proactive routing schemes. Both the ML-OLSR and LTA-OLSR find the best route to the destination which experiences the lowest traffic load.…”

Section: Ssr Performance When Network Is Congestedmentioning

confidence: 99%

See 2 more Smart Citations

Skeleton-Based Swarm Routing (SSR): Intelligent Smooth Routing for Dynamic UAV Networks

Toorchi

Bentley

et al. 2021

IEEE Access

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Intelligent agent and optimization‐based deep residual network to secure communication in UAV network

Francelin

Daniel

Velliangiri³

2022

Int J of Intelligent Sys

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Unmanned Aerial Vehicle (UAV) is adapted as a novel unit in upcoming wireless infrastructures wherein UAVs can play various roles in different applications. The UAV is utilized for navigating commands to attain surveillance. However, routing and localization are the major issues that own higher mobility and unstable links. This paper devises a novel technique for initiating secured communication in a UAV network (UAVN). At first, the simulation of the UAVN is done. After that, the data transmission is carried out amongst nodes using a routing path; hence, an optimal routing path is formed using the newly devised Tunicate Swarm Political Optimization (TSPO) algorithm. The newly devised TSPO algorithm integrates the Tunicate Swarm Algorithm and Political Optimizer. In addition, the data communication is done using an evaluation and monitoring agent. In addition, the malicious detection is done by a decision‐making agent using the deep residual network (DRN). Here, the newly devised TSPO algorithm is used to train the deep residual. The input parameters considered in the DRN are round trip time, signal strength, packet delivery, packet size, and the number of incoming packets. Once a DRN classifies the attack and genuine users, the defensive agent is employed for attack mitigation. Thus, the attacks in data are mitigated by the defensive agents. The newly devised TSPO‐based DRN obtained enhanced performance with the smallest delay of 0.0014 s, the highest detection rate of 0.9325%, and the highest packet delivery ratio of 11491.2%.

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Link-Quality and Traffic-Load Aware Routing for UAV Ad Hoc Networks

Cited by 54 publications

References 26 publications

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

Skeleton-Based Swarm Routing (SSR): Intelligent Smooth Routing for Dynamic UAV Networks

Intelligent agent and optimization‐based deep residual network to secure communication in UAV network

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