Hybrid Wolf Pack and Particle Swarm Optimization Algorithm for Multihop Routing Protocol in WSN

Wang, Jiarui

doi:10.46253/jnacs.v3i3.a5

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…The CH node has particular functions for enhancing energy efficiency, lifespan and scalability of network in these routing models (Anzola et al , 2018). Several optimization algorithms, like particle swarm optimization (PSO), ant colony optimization (ACO), genetic algorithm (GA), honey bee optimization (HBO), simulated annealing (SA), Escherichia coli bacteria (ECB) performance and biological immune system (BIS), are most valuable to afford optimal route from source to destination (Wang, 2020).…”

Section: Introductionmentioning

confidence: 99%

Energy-aware multipath routing in WSN using improved invasive weed elephant herd optimization

Sharad¹,

Desai²,

Krishnrao³

2022

IJPCC

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Purpose In a wireless sensor network (WSN), the sensor nodes are distributed in the network, and in general, they are linked through wireless intermediate to assemble physical data. The nodes drop their energy after a specific duration because they are battery-powered, which also reduces network lifetime. In addition, the routing process and cluster head (CH) selection process is the most significant one in WSN. Enhancing network lifetime through balancing path reliability is more challenging in WSN. This paper aims to devise a multihop routing technique with developed IIWEHO technique. Design/methodology/approach In this method, WSN nodes are simulated originally, and it is fed to the clustering process. Meanwhile, the CH is selected with low energy-based adaptive clustering model with hierarchy (LEACH) model. After CH selection, multipath routing is performed by developed improved invasive weed-based elephant herd optimization (IIWEHO) algorithm. In addition, the multipath routing is selected based on certain fitness functions like delay, energy, link quality and distance. However, the developed IIWEHO technique is the combination of IIWO method and EHO algorithm. Findings The performance of developed optimization method is estimated with different metrics, like distance, energy, delay and throughput and achieved improved performance for the proposed method. Originality/value This paper presents an effectual multihop routing method, named IIWEHO technique in WSN. The developed IIWEHO algorithm is newly devised by incorporating EHO and IIWO approaches. The fitness measures, which include intra- and inter-distance, delay, link quality, delay and consumption of energy, are considered in this model. The proposed model simulates the WSN nodes, and CH selection is done by the LEACH protocol. The suitable CH is chosen for transmitting data through base station from the source to destination. Here, the routing system is devised by a developed optimization technique. The selection of multipath routing is carried out using the developed IIWEHO technique. The developed optimization approach selects the multipath depending on various multi-objective functions.

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Section: Introductionmentioning

confidence: 99%

Energy-aware multipath routing in WSN using improved invasive weed elephant herd optimization

Sharad¹,

Desai²,

Krishnrao³

2022

IJPCC

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Energy-efficient cooperative routing scheme with recurrent neural network based decision making system for wireless multimedia sensor networks

Nagalingayya¹,

Mathpati²

2022

Multimed Tools Appl

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Multi-level energy efficient cooperative scheme for ring based clustering in wireless sensor network

Sumesh

Perumal

2022

Energy Harvesting and Systems

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Wireless Sensor Network (WSN) is composed of different sensors attached to the same wireless medium. Sensor node data is usually forwarded to the base station, where it has been stored, evaluated, and processed. Ring Routing, a new energy-efficient distributed routing protocol aimed at larger-scale WSN applications with mobile sink and motionless sensor nodes. The structure ring is quickly converted, and they are capable of switching positions with regular nodes in a simple and effective manner, thereby minimizing the hotspot problem. In the network system, the central node is considered, and ring nodes with a certain distance are established while creating a ring structure. Since the sink nodes are powered by batteries, they deplete their batteries quicker than the other nodes, which is attributable to the accumulation of data traffic into the sink. Furthermore, when the ring configuration is disrupted due to ring node expiration, data transfer becomes tedious and causes significant delay. As a ring node starts to exhaust, its neighbor takes over as the ring node, and this selection of the regular node as the ring node is done optimally based on Multiple-Fitness Parameters such as Four-level energy consumption (4En), Distance (distance between the ring node and the regular node Dist ring − reg and distance between network centers to regular node Δ D i s t C − r i n g ${\Delta}Dis{t}_{C-ring}$ ) and delay S. Moreover, this optimal selection of the regular node to act as ring node will be carried out by a new hybrid algorithm referred to as Cuckoo Search Updated Sealion’s Attacking Technique (CSUSAT) that combines the standard crow search and sea lion optimization algorithm. At last, the supremacy of the presented approach is proved over other models.

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Hybrid Wolf Pack and Particle Swarm Optimization Algorithm for Multihop Routing Protocol in WSN

Cited by 3 publications

References 8 publications

Energy-aware multipath routing in WSN using improved invasive weed elephant herd optimization

Energy-aware multipath routing in WSN using improved invasive weed elephant herd optimization

Energy-efficient cooperative routing scheme with recurrent neural network based decision making system for wireless multimedia sensor networks

Multi-level energy efficient cooperative scheme for ring based clustering in wireless sensor network

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