An Optimal Relay Number Selection Algorithm for Balancing Multiple Performance in Flying Ad Hoc Networks

Li, Suoping; Wang, Fan; Gaber, Jaafar; Zhou, Yongqiang

doi:10.1109/access.2020.3044502

Cited by 12 publications

(6 citation statements)

References 34 publications

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“…Such attacks on WSNs are challenging to detect. As soon as the source node delivers a route-request packet, an adversary node begins transmitting it as quickly as possible [15]. As a result, additional nodes with the identical route-request packet cannot respond.…”

Section: Packet Replicationmentioning

confidence: 99%

Diligence Eagle Optimization Protocol for Secure Routing (DEOPSR) in Cloud-Based Wireless Sensor Network

Ramkumar¹,

Vadivel

Mani³

et al. 2022

Preprint

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Wireless sensor networks (WSN) are essential for various applications that collect and analyze data from the physical environment. Cloud computing particularly provides a benchmarks method for distributed resource sharing. The concept of “Sensor Clouds” has emerged due to extending the paradigm of cloud computing to include sharing the sensed data through WSN. Data collected by these many sensor-based applications is enormous. Routing is significant in cloud-based WSN (CWSN). Poor routing protocol affects the performance of CWSN severely. In this paper, Diligence Eagle Optimization Protocol for Secure Routing (DEOPSR) is proposed for CWSN. DEOPSR is inspired from natural foraging characteristics of eagle. DEOPSR hold two different types of searching to send data to destination which are local search and global search. Parameter adaption schemes present in DEOPSR assist in selecting the best route and avoiding the selfish nodes in routing. In NS3, the performance of DEOPSR was examined using performance measures prevalently used in computer networks. DEOPSR outperforms the present routing protocols, according to the data.

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Section: Packet Replicationmentioning

confidence: 99%

Diligence Eagle Optimization Protocol for Secure Routing (DEOPSR) in Cloud-Based Wireless Sensor Network

Ramkumar¹,

Vadivel

Mani³

et al. 2022

Preprint

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“…In 2020, Li et al [22] have considered a new cooperative-node system model to propose selection algorithm for getting the optimal relay number depended on realistic network model along with the distance measures among "Nakagami-m short-term static fading channel and relays", which was highly appropriate for Unmanned Aerial Vehicles (UAVs). The Meijer-G function was used to calculate the system outage probability, and then closed binary expression was derived under constraints such as average transmission delay, energy efficiency and throughput.…”

Section: Related Workmentioning

confidence: 99%

“…It has high buffer time. DTMC [22] enhances the system performance and gets lower average transmission delay and higher energy efficiency. This model is not suitable for smart Internet of Things (IoT)-based applications.…”

Section: Problem Statementmentioning

confidence: 99%

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Throughput and Outage Probability-aware Intelligent Swarm-based Multi-hop Selection in Vehicular Network

Qamar

2022

Preprint

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Cooperation is an emerging paradigm for improving the spatial differentiations in Vehicular Ad-Hoc Networks (VANET). Cooperative communication systems can improve the performance and spatial diversity equivalent to the multiantenna systems like Multiple-Input Multiple-Output (MIMO) systems. Additionally, these systems are more realistic for the implementation with conventional limited resources and distributed hardware. Hence, many network solutions are motivated through the cooperative communications for boosting VANET efficiency regarding specific network constraints like energy efficiency, network capacity, and outage probability. As several effective studies are discussed about VANETs integrated with cooperative communications, it suffers from some basic problems, which does not explicitly utilize. The main goal of this article is to design & develop an optimization method for selecting the minimum number of multi-hops between source and destination for the cooperative VANET network. The first phase has first time slot, where a signal is transmitted by source to the cooperative nodes (its relays) and to their equivalent destination. The main problem considered here is to optimally select the number of hops or relays that to be adaptable for communication, with the intention of solving the multi-objective function concerning with the target throughput and outage probability. The adoption of new Dimension-based Cat Swarm Optimization (D-CSO) is the main contribution here to optimally select the multi-hops among source and destination. Through the performance evaluation, it is observed that the designed model has achieved network-wide fairness performance and good convergence rate.

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“…In addition, when the central node is damaged, the centralized network must reselect a central node, which incurs extra network reconfiguration costs. In contrast, each node in the distributed network stores just a subset of its neighbors' information and makes decisions separately, whose resource efficiency and delay performance have obvious advantages over centralized networks with intermittent links [9,10]. So, the distributed FANET becomes an inevitable choice in the complex battlefield environment.…”

Section: Introductionmentioning

confidence: 99%

Network Consensus Analysis and Optimization of Distributed FANETs Based on Multi-agent Consensus Theory

Tong

Ding

et al. 2023

Preprint

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Distributed flying ad hoc networks (FANETs) have been widely used in collaborative reconnaissance, situation construction, and other scenarios. In distributed FANETs with multi-hop and intermittent links, nodes only maintain neighbors' information and cannot obtain knowledge of the whole network. There may be contradicting information collected across nodes, resulting in inconsistency problems. However, existing research on collaborative consensus focuses mainly on the control domain using multi-agent consensus theory. The study on distributed network consensus does not consider the effect of the multi-hop forwarding sequence, hence limiting distributed FANETs optimization. Based on this, we establish a network consensus model utilizing the multi-agent consensus theory and analyze the impact of outage probability of links and untimely forwarding on the distributed consensus probability, considering the node density, link outage probability, and network maintenance times. Besides, using the election mechanism as an example, we establish distributed network performance analysis models considering consensus error to enhance the performance analysis of service delay and resource efficiency of distributed FANETs. Finally, we construct a protocol-level simulation platform based on Visual Studio and extensive experiments to validate the model’s accuracy and figure out the optimal mechanism parameters under different network and channel parameters. The simulation results show that the optimal network maintenance times increase with the increasing outage probability of links. Moreover, distributed FANETs can achieve optimal resource efficiency without achieving complete consensus; that is, there is a tradeoff between network maintenance cost and network consensus performance.

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An Optimal Relay Number Selection Algorithm for Balancing Multiple Performance in Flying Ad Hoc Networks

Cited by 12 publications

References 34 publications

Diligence Eagle Optimization Protocol for Secure Routing (DEOPSR) in Cloud-Based Wireless Sensor Network

Diligence Eagle Optimization Protocol for Secure Routing (DEOPSR) in Cloud-Based Wireless Sensor Network

Throughput and Outage Probability-aware Intelligent Swarm-based Multi-hop Selection in Vehicular Network

Network Consensus Analysis and Optimization of Distributed FANETs Based on Multi-agent Consensus Theory

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