Bee-MANET: A New Swarm-based Routing Protocol for Wireless Ad Hoc Networks

Albayrak, Zafer; Zengi̇n, Ahmet

doi:10.5755/j01.eee.20.3.3421

Cited by 13 publications

(5 citation statements)

References 14 publications

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“…Esses processos são conhecidos como estigmergia [18]. O SARA [19] e o Bee-MANET [20] são exemplos de protocolos baseados em formigas e em abelhas, respectivamente.…”

Section: B Roteamento Bioinspiradounclassified

HyphaNet: um algoritmo de roteamento bioinspirado em colônia de fungos para redes móveis ad hoc

Bento¹,

Wille²

2021

Anais Do XXXIX Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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Resumo-Diversos protocolos de redes de comunicação são inspirados na natureza, por exemplo, em insetos sociais (formigas, abelhas, vaga-lumes, entre outros). Muitas espécies de fungos formam redes de hifas capazes de auto-organização, resiliência e eficiência na construção de redes de transporte de nutrientes. Isso inspira comparar o fenótipo fúngico a uma rede de comunicação. Nessa perspectiva, este artigo propõe um protocolo de roteamento para MANETs baseado no comportamento de fungos chamado de HyphaNet. O HyphaNet é do tipo reativo e multipath. Simulações no NS-2.35 mostram bom desempenho comparado ao AODV clássico e ao SARA baseado em formigas.

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“…Esses processos são conhecidos como estigmergia [18]. O SARA [19] e o Bee-MANET [20] são exemplos de protocolos baseados em formigas e em abelhas, respectivamente.…”

Section: B Roteamento Bioinspiradounclassified

HyphaNet: um algoritmo de roteamento bioinspirado em colônia de fungos para redes móveis ad hoc

Bento¹,

Wille²

2021

Anais Do XXXIX Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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“…In this subsection, Box-Jenkins gas furnace problem that consists of a data set including input-output measurements of 296 pairs is used to obtain a fuzzy rule based model [10], [11], [24], [33]- [43]. The process has a single input u(t) (gas flow rate) and a single output y(t) (CO2 concentration).…”

Section: B Box-jenkins Gas Furnace Problemmentioning

confidence: 99%

Performance Comparison of Particle Swarm Optimization, Differential Evolution and Artificial Bee Colony Algorithms for Fuzzy Modelling of Nonlinear Systems

Konar¹,

Bağış²

2016

ElAEE

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This paper presents the results of the nonlinear system modelling approach based on the use of fuzzy rules optimized by different population based optimization algorithms. Fuzzy rule based models with different number of the rules are used to describe the some nonlinear systems in the literature. Firstly, parameters of the fuzzy models are determined by the artificial bee colony (ABC) algorithm. To demonstrate the efficiency of the ABC algorithm, its modelling ability is compared with the other two powerful population based algorithms, particle swarm optimization (PSO) and differential evolution algorithm (DEA). Simulation results show that a successful model performance with good description ability in the modelling of nonlinear or complex systems can be obtained by using one of the population based algorithms in design of the fuzzy rule based models.

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“…The major aim of technique, consequently, is used to increase the routing network characteristics through the condition of suitable detail to the disjointed network areas. For this method, consider that there are huge amount of data packets sharing on stable paths [3]. The data packets are challenging for proceeds so individual method to actively objectivity the network area in the buffer storage according to the packet jamming demand pattern for every area on the data packet's transmitting route [4].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Path Routing with Buffer Allocation Method Using Coupling Node Selection Algorithm in MANET

Bharti¹,

Soundarajan

Sumant

et al. 2022

Wireless Communications and Mobile Computing

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In a mobile network, nodes are placed in infrequent manner, which are moved along network in abruptly. Communication flaw between sender node and accepting node in path, the node having restricted energy and restricted transmission rate. It does not provide perfect route for communication among mobile nodes. It increases the packet drop rate and minimizes the lifetime of network. This work has proposed enhanced path routing with buffer allocation (IPBA) scheme which is implemented to obtain better communication; it protects the node from packet loss, and the buffer is used to maintain the temporary details of nodes and data packets that are ready to broadcast and receive. The coupling node selection algorithm is constructed to offer the path which frequently communicates data packets in normal case; the two efficient nodes are coupled with each other, and this type of nodes is selected to perform communication. It reduces the packet loss rate and increases network lifetime. End-to-end delay, communication overhead, throughput, network lifetime, packet loss, and energy consumption are the parameters considered for performance evaluations.

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Bee-MANET: A New Swarm-based Routing Protocol for Wireless Ad Hoc Networks

Cited by 13 publications

References 14 publications

HyphaNet: um algoritmo de roteamento bioinspirado em colônia de fungos para redes móveis ad hoc

HyphaNet: um algoritmo de roteamento bioinspirado em colônia de fungos para redes móveis ad hoc

Performance Comparison of Particle Swarm Optimization, Differential Evolution and Artificial Bee Colony Algorithms for Fuzzy Modelling of Nonlinear Systems

Enhanced Path Routing with Buffer Allocation Method Using Coupling Node Selection Algorithm in MANET

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