Cluster head selection using hesitant fuzzy and firefly algorithm in wireless sensor networks

Rayenizadeh, Mojgan; Rafsanjani, Marjan Kuchaki; Saeid, Arsham Borumand

doi:10.1007/s12530-021-09405-1

Cited by 12 publications

(9 citation statements)

References 34 publications

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“…The proposed scheme was compared to the current protocols to evaluate its efficiency to provide more reliability and extend the lifetime of the low-energy protocols. [16] / 2022…”

Section: Ref/yearmentioning

confidence: 99%

Enhanced Network QoS in Large Scale and High Sensor Node Density Wireless Sensor Networks Using (IR-DV-Hop) Localization Algorithm and Mobile Data Collector (MDC)

Gantassi,

Messous,

Masood

et al. 2024

IEEE Access

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This paper poses new challenges, especially when designing routing protocols to improve the quality of service (QoS) criteria and the lifetime of large-scale wireless sensor networks (LS-WSNs) and high sensor node density WSNs (HSND-WSN). Some of these challenging problems for routing protocols are minimizing the distance between a base station (BS) and the cluster head (CH), latency in the transmission phase, power consumption in the clustering phase, and determining the precise SN location without error. Thus, for a dynamic WSN, it is important to support an intelligent mobile data collector (MDC) to continue data propagation despite the inevitable changes in the WSN topology. Considering these challenges, we propose a novel intelligent routing protocol based on the improved recursive distance vector-hop (IR-DV-Hop) localization algorithm to determine the accurate location of SNs without errors in LS-WSNs and determine the CHs and optimal route traversed by the MDC for energy efficiency, latency, and reliability. Specifically, the proposed mobile data collector-improved recursive distance vectorhop (MDC-IR-DV-Hop) protocol uses the MDC as an intermediate between the CH and BS to enhance the QoS of WSNs, reduce delays while collecting data, and improve the transmission phase of the routing protocol. Simulation results prove the performance of the proposed protocol compared with the energy aware cluster based multi-hop (EACBM), tree clustering algorithm with mobile data collector (TCMDC), mobile data collector maximum residual energy low energy adaptive clustering hierarchy (MDC maximum residual energy leach), MDC minimum distance leach, mobile data collector-K-means (MDC-K), mobile data collector-traveling salesman problem-low energy adaptive clustering hierarchy-K-means (MDC-TSP-LEACH-K), a three-layer hierarchical architecture for optimized routing protocol based on clustering and the Khalimsky topology for mobile WSN (AMWSN), and node density-based clustering and mobile collection (NDCM) protocols. In addition, this article proposes a comparative analysis of the best clustering, CH election, localization and MDC by discussing and describing their functionalities, advantages, disadvantages and their main performance parameters.INDEX TERMS High sensor-node density wireless sensor network (HSND-WSN), improved recursive distance vector-hop (IR-DV-Hop), large-scale wireless sensor network (LS-WSN), mobile data collector (MDC), quality of service (QoS), routing protocol.

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“…The proposed scheme was compared to the current protocols to evaluate its efficiency to provide more reliability and extend the lifetime of the low-energy protocols. [16] / 2022…”

Section: Ref/yearmentioning

confidence: 99%

Enhanced Network QoS in Large Scale and High Sensor Node Density Wireless Sensor Networks Using (IR-DV-Hop) Localization Algorithm and Mobile Data Collector (MDC)

Gantassi,

Messous,

Masood

et al. 2024

IEEE Access

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“…Therefore, according to this situation, we can determine how much these parameters change the efficiency of PFHE (such as flow rate) through experimental research, and the higher the temperature, the better. When the Reynolds number is small, the heat transfer coefficient decreases with the increase of Reynolds number and the heat transfer increases [13][14]. The heat transfer performance of PFHE is an important factor affecting its operation efficiency and economy.…”

Section: Effect Of Heat Transfer Performance Of Plate Fin Hat Exchang...mentioning

confidence: 99%

Experimental Heat Transfer Performance of Plate Fin Heat Exchanger Based on Fuzzy Algorithm

2023

KME

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With the continuous growth of industrial technology, the waste of energy is becoming more and more serious. As a kind of energy-saving, environmental protection and higher economic benefits, plate fin heat exchanger(PFHE) can effectively alleviate the resource tension. Therefore, the experimental study of plate fin regenerator is of great significance. This paper mainly introduces the mass transfer performance and working principle of the plate type heat recovery device at home and abroad. Combined with the actual situation, the test, analysis and calculation are carried out, and the design ideas and relevant equipment structure drawings after optimizing the process parameters and improving measures are proposed, so as to improve the heat exchange efficiency and reduce the production cost. Therefore, based on the fuzzy algorithm, this paper designs a PFHE model, and tests the model. The test results show that the pressure drop on both sides of the heat exchanger decreases slightly, and the number of channels on both sides increases slightly. The optimization results of this module show the applicability of fuzzy algorithm, as a modern optimization method, in the optimization design of PFHE, and the superiority of genetic algorithm in the optimization process and results compared with traditional design methods.

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“…Breeding Artificial Fish Swarm Algorithm utilizes end to end delay and energy with randomly split swarming behavior [45]. FireFly Cluster Head Selection Algorithm takes fitness function of energy, end to end delay and packet loss ratio for optimized CH selection [46]. Combined clustering and routing search method based Integrated Cuckoo and Harmony Search distributed the function of routing with harmony and clustering with cuckoo [47].…”

Section: Heuristic Cluster Based Routing Protocols In Wsnmentioning

confidence: 99%

PRESEP: Cluster Based Metaheuristic Algorithm for Energy-Efficient Wireless Sensor Network Application in Internet of Things

Sharma,

Chawla

2023

Wireless Pers Commun

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A metaheuristic approach based hybrid data routing algorithm is proposed in this paper for energy-efficient wireless sensor network (WSN) applications in Internet of Things (IoT). High speed generation of network demands of more IoT enabled services and platforms. Swarm optimization in route finding is integrated with energy-efficient heuristic method to obtain improved data routing algorithm for heterogeneous WSN. Particle swarm optimized Residual Energy based Stable Election Protocol (PRESEP) simulation yields multi objective solutions for use of residual node energy, prolonged network lifetime and stable cluster formation. Protocol minimizes the cluster head (CH) selection cycle as an outcome of reactive protocol benefits of easy global search of swarm optimization for sustainable data routing in energy-efficient cluster based heterogeneous WSN. Scaling of network is supported by the algorithm with varied heterogeneity factor. Support for heterogeneous WSN with various network sizes are evaluated and found it outperformed previous heterogeneous algorithm in terms of network lifetime, alive nodes, reduced energy consumption with minimum number of repeated CH selection process.

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Cluster head selection using hesitant fuzzy and firefly algorithm in wireless sensor networks

Cited by 12 publications

References 34 publications

Enhanced Network QoS in Large Scale and High Sensor Node Density Wireless Sensor Networks Using (IR-DV-Hop) Localization Algorithm and Mobile Data Collector (MDC)

Enhanced Network QoS in Large Scale and High Sensor Node Density Wireless Sensor Networks Using (IR-DV-Hop) Localization Algorithm and Mobile Data Collector (MDC)

Experimental Heat Transfer Performance of Plate Fin Heat Exchanger Based on Fuzzy Algorithm

PRESEP: Cluster Based Metaheuristic Algorithm for Energy-Efficient Wireless Sensor Network Application in Internet of Things

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