Designing of energy efficient stable clustering protocols based on BFOA for WSNs

Gupta, Prateek; Sharma, Ajay K.

doi:10.1007/s12652-018-0719-1

Cited by 18 publications

(22 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In other works, 22,23 new routing protocols are proposed to be suitable for both homogeneous and heterogeneous WSNs. In a study by Gupta and Sharma, 22 a new extension of ICHB algorithm (Modified ICHB [M-ICHB]) is proposed to improve the energyefficient performance of WSN. By performing M-ICHB, the most suitable SNs to be CHs are identified.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Modulated relay based stable election protocol for large‐scale wireless sensor networks

Hamad

Dağ

Gucluoglu

2022

Int J Communication

View full text Add to dashboard Cite

Summary Internet of things (IoT) applications based on wireless sensor networks (WSNs) have recently gained vast momentum. These applications vary from health care, smart cities, and military applications to environmental monitoring and disaster prevention. As a result, energy consumption and network lifetime have become the most critical research area of WSNs. Through energy‐efficient routing protocols, it is possible to reduce energy consumption and extend the network lifetime for WSNs. Using hybrid routing protocols that incorporate multiple transmission methods is an effective way to improve network performance. This paper proposes modulated R‐SEP (MR‐SEP) for large‐scale WSN‐based IoT applications. MR‐SEP is based on the well‐known stable election protocol (SEP). MR‐SEP defines three initial energy levels for the nodes to improve the network energy distribution and establishes multi‐hop communication between the cluster heads (CHs) and the base station (BS) through relay nodes (RNs) to reduce the energy consumption of the nodes to reach the BS. In addition, MR‐SEP reduces the replacement frequency of CHs, which helps increase network lifetime and decrease power consumption. Simulation results show that MR‐SEP outperforms SEP, LEACH, and DEEC protocols by 70.2%, 71.58%, and 74.3%, respectively, in terms of lifetime and by 86.53%, 86.68%, and 86.93% in terms of throughput.

show abstract

Section: Related Workmentioning

confidence: 99%

“…Other routing protocols for heterogeneous WSNs are proposed. In other works, 22,23 new routing protocols are proposed to be suitable for both homogeneous and heterogeneous WSNs. In a study by Gupta and Sharma, 22 a new extension of ICHB algorithm (Modified ICHB [M‐ICHB]) is proposed to improve the energy‐efficient performance of WSN.…”

Section: Related Workmentioning

confidence: 99%

Modulated relay based stable election protocol for large‐scale wireless sensor networks

Hamad

Dağ

Gucluoglu

2022

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Nevertheless, some group of researchers from the literature tried to achieve the implementation of the first and second parameters on a multiheterogeneous network area to improve the lifetime of the network further. Similarly, to get the desired result for energy efficiency, some constraints of WSNs strategies were adopted for minimizing the data among the communicating parameters [23][24][25][26][27].…”

Section: Mobile Information Systemsmentioning

confidence: 99%

A Hyper-Heuristic Heterogeneous Multisensor Node Scheme for Energy Efficiency in Larger Wireless Sensor Networks Using DEEC-Gaussian Algorithm

Aroba

Naicker

Adeliyi

2021

Mobile Information Systems

View full text Add to dashboard Cite

A wireless sensor network (WSN) is an intellect-sustainable network that comprises multiple spatially distributed sensor nodes and several sink nodes that collect data from sensors. WSNs remain an active research area in the literature due to challenging factors such as the selection of sensor location according to a given premise, finding optimal routing algorithm, and ensuring energy efficiency and consumption. Minimizing energy and prolonging the network lifetime in the WSNs are the focus of this research work. In the literature, a clustering approach is used in grouping sensor nodes into clusters and is seen as an effective technique used in optimizing energy consumption in WSNs. Hence, in this paper, we put forward a novel clustering-based approach by amalgamating the Gaussian elimination method with the Distributed Energy-Efficient Clustering to produce DEEC_Gaussian (DEEC_Gaus) to stabilize energy efficiency optimization in WSNs. We took the advantages of DEEC and Gaussian elimination algorithms to resolve energy efficiency problems in WSNs. DEEC presents attributes such as increased heterogeneity performance level, clustering stability in operation, and energy efficiency which helps to prolong network lifetime while the Gaussian elimination algorithm added an additional advantage to improve and optimize energy efficiency, to aggregate packets of operations performed in the network lifestyle of energy efficiency in WSNs. The simulations were carried out using MATLAB software with 1000 to 1500 nodes. The performance of the proposed work was compared with state-of-the-art algorithms such as DEEC, DDEEC, and EDEEC_E. The simulated results presented show that the proposed DEEC-Gauss outperformed the three other conventional algorithms in terms of network lifetime, first node dead, tenth node dead, alive nodes, and the overall timing of the packets received at the base station. The results showed that the proposed hyper-heuristic heterogeneous multisensor DEEC-Gauss algorithm presented an average percentage of 3.0% improvement for the tenth node dead (TND) and further improvement of 4.8% for the first node dead (FND). When the performance was compared to the state-of-the-art algorithms in larger networks, the overall delivery was greatly improved and optimized.

show abstract

“…Gupta and Sharma (2019) [83] introduced a clustering scheme named M‐ICHB (modified intelligent CH election based on bacterial foraging optimisation). This scheme focuses on globalised energy awareness issue in distributed sensor networks.…”

Section: Recent Metaheuristics‐based Clustering Schemesmentioning

confidence: 99%

Metaheuristics‐based energy efficient clustering in WSNs: challenges and research contributions

Sharma

Vashisht

Singh

2020

IET wirel. sens. syst.

View full text Add to dashboard Cite

Designing of energy efficient stable clustering protocols based on BFOA for WSNs

Cited by 18 publications

References 33 publications

Modulated relay based stable election protocol for large‐scale wireless sensor networks

Modulated relay based stable election protocol for large‐scale wireless sensor networks

A Hyper-Heuristic Heterogeneous Multisensor Node Scheme for Energy Efficiency in Larger Wireless Sensor Networks Using DEEC-Gaussian Algorithm

Metaheuristics‐based energy efficient clustering in WSNs: challenges and research contributions

Contact Info

Product

Resources

About