A Hybrid Artificial Bee Colony and Harmony Search Algorithm-Based Metahueristic Approach for Efficient Routing in WSNs

Jayalakshmi, P.; Sridevi, S.; Janakiraman, S.

doi:10.1007/s11277-021-08875-5

Cited by 15 publications

(9 citation statements)

References 27 publications

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“…Jayalakshmi et al [185] HS * HS combined with L-BFGS. After generating HS initial population, a local search using the quasi-Newton method is performed for each harmony, keeping record of the best value in HM.…”

Section: Sadollah Et Al [181]mentioning

confidence: 99%

An Overview of the Application of Harmony Search for Chemical Engineering Optimization

Fonseca-Pérez

Del-Mazo-Alvarado

Luna

et al. 2022

International Journal of Chemical Engineering

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Harmony search algorithm and its variants have been used in several applications in medicine, telecommunications, computer science, and engineering. This article reviews the global and multi-objective optimization for chemical engineering using harmony search. The main features of the HS method and several of its popular variants and hybrid versions including their relevant algorithm characteristics are described and discussed. A variety of global and multi-objective optimization problems from chemical engineering and their resolution using HS-based methods are also included. These problems involve thermodynamic calculations (phase stability analysis, phase equilibrium calculations, parameter estimation, and azeotrope calculation), heat exchanger design, distillation simulation, life cycle analysis, and water distribution systems, among others. Remarks on future developments of HS and its related algorithms for global and multi-objective optimization in chemical engineering are also provided in this review. HS is a reliable and promising stochastic optimizer to resolve challenging global and multi-objective optimization problems for process systems engineering.

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Section: Sadollah Et Al [181]mentioning

confidence: 99%

An Overview of the Application of Harmony Search for Chemical Engineering Optimization

Fonseca-Pérez

Del-Mazo-Alvarado

Luna

et al. 2022

International Journal of Chemical Engineering

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“…This method presents better results when compared to other algorithms such as PSOECSM, PSO-UFC, GADA-LEACH, and PSOBS. (Jayalakshmi et al, 2021) have presented the hybrid Artificial Bee Colony and Harmony Search Algorithm based approach for identifying the effective cluster head. This methodology improved the dynamic search behavior for the cluster head selection.…”

Section: Problem Definition and Scopementioning

confidence: 99%

Hybrid Bacteria Foraging Algorithm With PSO and DE Algorithm for Optimal Cluster Head Selection in Wireless Sensor Networks

Bose

2022

International Journal of Cognitive Informatics and Natural Intelligence

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Network lifetime and energy constraint are the main issues for the applications of Wireless Sensor Network. Sensor nodes spend more energy in the communication process and affect the network lifetime. Clustering is the technique for choosing the optimal cluster head from the clusters. LEACH-C is the clustering protocol in WSN. BFA is applied in the LEACH-C protocol to form the optimal clusters. This optimization obtains more number of steps in the tumbling process and reaches the global optimum solution very slowly. This method directly affects the network lifetime. The above limitations are overcome by introducing the hybrid approach of Bacteria foraging algorithm by integrating the PSO and DE is applied in LEACH-C algorithm for finding the optimal cluster head. The best foraging solution utilized in the chemotactic behavior of the bacterium by using PSO and DE algorithm. The proposed methodology increases by 66% and 77% of the alive nodes when compared to FA and BFPSO.

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“…The CH also must be capable of handling variation in its member nodes due to various factors like new node deployment, in a deployed area, actual node loss due to inclement weather, etc. [24,25].…”

Section: Scalabilitymentioning

confidence: 99%

Certain Investigation on Improved Cluster Protocol with Trust security for Wireless Sensor Networks

Ramesh¹,

Renjith

AntoBennet

et al. 2022

IJEER

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Immense development of Micro Electro Mechanical Systems (MEMS) made an incredible advancement in wireless technology. The Wireless Sensor Network (WSN) has created many opportunities for the development of various applications in the fields of military, research, medical, engineering, etc. In this research article, a novel trust-based energy-aware clustering protocol is proposed. The clustering algorithm concentrates on reducing the time spent on cluster formation, controlling redundant data forwarding, and prolonging the network's lifespan. In this model, clustered nodes are classified into three levels like Cluster heads (CH), secondary CHs, and sensor nodes (SN) are used to sense the environmental changes and report to the Base Station (BS). An extension of the lifetime of a WSN is possible by the use of secure multi-hop routing with an aggregation technique to forward data from a cluster to the BS. Compared to relevant works on clustering with the routing protocol, the simulation result showed improved energy efficiency and network lifetime.

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A Hybrid Artificial Bee Colony and Harmony Search Algorithm-Based Metahueristic Approach for Efficient Routing in WSNs

Cited by 15 publications

References 27 publications

An Overview of the Application of Harmony Search for Chemical Engineering Optimization

An Overview of the Application of Harmony Search for Chemical Engineering Optimization

Hybrid Bacteria Foraging Algorithm With PSO and DE Algorithm for Optimal Cluster Head Selection in Wireless Sensor Networks

Certain Investigation on Improved Cluster Protocol with Trust security for Wireless Sensor Networks

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