Experimental Analysis of ACO with Modified Firefly and Modified Genetic Algorithm for Routing in FANETs

被引：0

作者：

Yadav, Amrita ^{[1
]}

Shastri, Anshuman ^{[2
]}

Verma, Seema ^{[3
]}

机构：

[1] Banasthali Vidyapith, Dept Comp Sci, Tonk, India

[2] Banasthali Vidyapith, Sch Automat, Tonk, India

[3] Banasthali Vidyapith, Sch Phys Sci, Tonk, India

来源：

OPTICAL AND WIRELESS TECHNOLOGIES, OWT 2021 | 2023年 / 892卷

关键词：

Routing; Network; FANET; ACO; Firefly; Genetic algorithm; Performance; Algorithm; ENERGY;

D O I：

10.1007/978-981-19-1645-8_9

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The paper presents the performance evaluation of Nature-Inspired algorithms (NIA) namely Ant Colony Optimization (ACO) with newly implemented modified Firefly algorithm (MFA) and modified Genetic algorithm (MGA) for routing in Flying ad-hoc network (FANET). The use of NIA in FANET is required because FANET has quite different characteristics than that of other ad-hoc networks. The major area of concern in FANET is routing and no efficient routing algorithm has been developed for this issue. NIA is an optimization algorithm which process on the basis of nature of animals. NIA is divided into swarm based and evolutionary algorithm. This paper performs the evaluation and comparison of swarm-based algorithms and evolutionary algorithm on the performance parameters like successful packet delivery, end-to-end delay, overhead and throughput. As per the simulation results, MFA outperforms ACO and is the most efficient algorithm with MGA being the least efficient one.

引用

页码：81 / 87

页数：7

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