Self-organizing single-hop wireless sensor network using a genetic algorithm: Longer lifetimes and maximal throughputs

Shehab, Abdulaziz; Elhoseny, Mohamed; Sahlol, Ahmed T.; Elaziz, Mohamed Abd

doi:10.1109/itcosp.2017.8303105

Cited by 6 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Shehab et al [20] presented that data can be transmitted using the aid of push/pull procedures and steering plans for way revelation, as shown by the informed accumulation display for brush needle showcase-based bunch. So the packets are exchanged through the empowered way.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Cross-Layer Optimization for Wireless Systems Using Computer Vision Methods

Indira¹,

Sobhana

Ram³

et al. 2023

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Ad hoc network nodes are aggregate data packet from different environment; there is multiple path communication causing the sudden energy depletion in network. This type of energy loss can lead to failure of connectivity between the two intermediate nodes. If link gets failure, then it has frequent loss of data packets. Less energy nodes do not classify data from the network structure. It reduces packet delivery ratio and increases the energy consumption. The proposed cross-layer method for data agglomeration (CLA) is designed to organize the data packet frequently among the various communication routes; the nodes in the path can able to proceed packet organization for the support of cross-layer scheme. Magnificent path discovery algorithm is constructed to offer the better packet collection route to target node. This process uses multisource node with multiple path for packet transmission in network. It minimizes the energy consumption and increases the packet delivery ratio. The simulation parameters are delay, detection efficiency, energy consumption, network lifetime, and packet delivery ratio.

show abstract

Section: Related Workmentioning

confidence: 99%

“…Simulation Result. Figure 2 shows that the proposed multievent path routing (MPR) method is used to obtain higher resource available nodes for communication process compared with existing EAE [19] and SOS [20]. MPR is capable to assign the better energetic routing path.…”

Section: Performance Evaluationmentioning

confidence: 99%

Cross-Layer Optimization for Wireless Systems Using Computer Vision Methods

Indira¹,

Sobhana

Ram³

et al. 2023

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Um algoritmo genéticoé utilizado em [Shehab et al 2017] para maximizar a vazão e minimizar o consumo de energia em redes, cujo os nós de um mesmo cluster estão a umúnico salto um do outro. Considera como parâmetros a distância média entre os nós e o consumo esperado de energia.…”

Section: Trabalhos Relacionadosunclassified

Consumo de Energia em Função da Taxa de Transmissão e do Tamanho do Pacote em Redes Ad Hoc Aloha de um Salto

Silva¹,

Moraes²

2018

Anais Do Workshop Em Desempenho De Sistemas Computacionais E De Comunicação (WPerformance)

View full text Add to dashboard Cite

O aumento da autonomia de um dispositivo de comunicação, aliado à sua forma de operação, está relacionado com seu consumo de energia. Em redes ad hoc e de sensores sem fio deseja-se que o dispositivo possa operar com a melhor eficiência possível e com o mínimo de interferência humana durante seu funcionamento. Neste artigo, um estudo foi realizado sobre a energia gasta para realização da comunicação em um salto E1hop (energia consumida por bit para transmissão com sucesso em um salto) empregando slotted Aloha como protocolo de acesso ao meio a fim de proporcionar, na camada física e de enlace, a otimização da potência de transmissão (Pt) em função do número de bits do pacote (Nb) e da taxa de transmissão de dados (R). Nossos resultados indicam que é possível se obter valores ótimos de Pt em função de Nb e R que resultam em reduzido consumo de energia nestas redes.

show abstract

“…Genetic algorithm filter these problems by setting the threshold value and concentration of nodes in the local area can be avoided and reduce the energy consumption. Abdulaziz Shehab et al [10] address a new genetic algorithm to develop a cluster based WSN in which cluster heads change from round to round based on residual energy, vulnerability index and distance from Base station. Padmalaya Nayak et al presents a cluster based routing protocol [11]in which cluster head is selected based on two major parameters distance between nodes and Cluster head, distance between cluster head and base station and residual energy of the nodes and evaluated by fitness function in to the new generation of population using Darwin's principle of the survival of the fittest.…”

Section: Introductionmentioning

confidence: 99%

Reinforce Coverage Area of Sensor Mote in Wireless Ad-Hoc Networks Using Genetic Algorithm

Hemalatha¹,

Srinivasan²

2018

IJET

View full text Add to dashboard Cite

Wireless sensor based communication is everlasting growing sector within the industry of communication. In WSN improving the life expectancy of the network depends on the energy dissipation of senor devices. Diminishing the energy dissipation of sensor device will enhance the lifetime and device failure which helps in better availability and coverage area of sensor network. One of the dynamic research fields in wireless sensor network is that of coverage. Coverage can be defined as how well each point of interest is monitored by sensor network. In this paper, we investigate the cluster head selection issue, particularly focusing on applications where the upkeep of full network coverage is the fundamental prerequisite. Coverage maintenance for extended period is a pivotal issue in wireless sensor network because of the constrained inbuilt battery in sensors. Coverage maintenance may be prolonged by utilizing the network energy efficiently, by keeping an adequate number of sensors in sensor covers. The clustering algorithm is a solution to reduce energy consumption which can be helpful to the scalability and network lifetime. Assuming serious energy rebalancing with additional clustering algorithm, a Genetic algorithm (GA) based clustering algorithm which evaluates the fitness function by considering the two major parameters distance and energy has been proposed in this paper. Simulation result shows that the proposed solution finds the optimal cluster heads and has prolonged network lifetime and maximum coverage.

show abstract

Self-organizing single-hop wireless sensor network using a genetic algorithm: Longer lifetimes and maximal throughputs

Cited by 6 publications

References 23 publications

Cross-Layer Optimization for Wireless Systems Using Computer Vision Methods

Cross-Layer Optimization for Wireless Systems Using Computer Vision Methods

Consumo de Energia em Função da Taxa de Transmissão e do Tamanho do Pacote em Redes Ad Hoc Aloha de um Salto

Reinforce Coverage Area of Sensor Mote in Wireless Ad-Hoc Networks Using Genetic Algorithm

Contact Info

Product

Resources

About