Adaptive PSO with optimised firefly algorithms for secure cluster‐based routing in wireless sensor networks

Pavani, Movva; Rao, P. Trinatha

doi:10.1049/iet-wss.2018.5227

Cited by 42 publications

(23 citation statements)

References 33 publications

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“…Pavani. and Rao [17] developed the secure cluster-based routing protocol (SCBRP) which used the adaptive PSO algorithm with the firefly algorithm.…”

Section: Related Workmentioning

confidence: 99%

Secure Routing using Multi-Objective Trust Aware Hybrid Optimization for Wireless Sensor Networks

2022

IJIES

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Nowadays, energy optimization and data security are considered important security challenges while designing the network topology of Wireless Sensor Networks (WSNs). The problem of malicious nodes is required to be addressed to improve energy consumption and data delivery. Since the wireless sensor devices are energyconstrained, the issue of high packet loss by the malicious nodes must be addressed to enhance the network performance by making reduced energy consumption and delay. In this paper, a multi objective trust aware hybrid optimization (MOTAHO) is proposed to perform a secure data transmission over the WSN. The hybrid optimization is the combination of the moth flame and chicken swarm optimization (CSO), where it considered four distinct parameters such as trust, distance, energy, and number of hops for a secure cluster head (CH) selection and routing path generation. The developed MOTAHO method is used to provide security against the distributed denial of service (DDoS) attack. The performance of the MOTAHO method is analyzed in terms of routing load, packet delivery ratio (PDR), packet loss ratio (PLR), and average energy consumption. The existing methods namely secure routing protocol based on multi-objective ant-colony-algorithm (SRPMA), Energy-aware trust and opportunity-based routing (ETOR) for mobile nodes (MN) and grey wolf updated whale optimization algorithm (GU-WOA) are used to evaluate the effectiveness of the MOTAHO method. The PDR of the MOTAHO method is 97.44% for 4 DDoS attacks, which is high when compared to the SRPMA and ETOR-MN.

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“…Pavani. and Rao [17] developed the secure cluster-based routing protocol (SCBRP) which used the adaptive PSO algorithm with the firefly algorithm.…”

Section: Related Workmentioning

confidence: 99%

Secure Routing using Multi-Objective Trust Aware Hybrid Optimization for Wireless Sensor Networks

2022

IJIES

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“…PSO is a stochastic algorithm based on optimizing a candidate solution (or particle) [22][23][24][25][26]. It is a competent method used in numerous domains, such as architecture, research, education, and so forth.…”

Section: Pso Algorithm-based Routingmentioning

confidence: 99%

Network Lifetime Improvement through Energy-Efficient Hybrid Routing Protocol for IoT Applications

Mishra

Gupta

Gui

2021

Sensors

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The application of the Internet of Things (IoT) in wireless sensor networks (WSNs) poses serious challenges in preserving network longevity since the IoT necessitates a considerable amount of energy usage for sensing, processing, and data communication. As a result, there are several conventional algorithms that aim to enhance the performance of WSN networks by incorporating various optimization strategies. These algorithms primarily focus on the network layer by developing routing protocols to perform reliable communication in an energy-efficient manner, thus leading to an enhanced network life. For increasing the network lifetime in WSNs, clustering has been widely accepted as an important method that groups sensor nodes (SNs) into clusters. Additionally, numerous researchers have been focusing on devising various methods to increase the network lifetime. The prime factor that helps to maximize the network lifetime is the minimization of energy consumption. The authors of this paper propose a multi-objective optimization approach. It selects the optimal route for transmitting packets from source to sink or the base station (BS). The proposed model employs a two-step approach. The first step employs a trust model to select the cluster heads (CHs) that manage the data communication between the BS and nodes in the cluster. Further, a novel hybrid algorithm, combining a particle swarm optimization (PSO) algorithm and a genetic algorithm (GA), is proposed to determine the routes for data transmission. To validate the efficacy of the proposed hybrid algorithm, named PSOGA, simulations were conducted and the results were compared with the existing LEACH method and PSO, with a random route selection for five different cases. The obtained results establish the efficiency of the proposed approach, as it outperforms existing methods with increased energy efficiency, increased network throughput, high packet delivery rate, and high residual energy throughout the entire iterations.

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“…In 2019, Pavani et al [1] have implemented a SCBRP comprising adaptive PSO and optimized firefly algorithms in WSN throughout transmission of data. The most significant task in the suggested approach might be to improved the duration of the network with reduced energy usage.…”

Section: Related Workmentioning

confidence: 99%

Hybrid Metaheuristic Algorithm for Cluster Head Selection in WSN

Rathod¹

2020

JNACS

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During routing, a crucial requirement in the Wireless Sensor Network (WSN) is to achieve energy efficiency since the sensor nodes have minimal energy resources. In WSN, mobility of node causes major problem in designing an energy-efficient routing protocol. Clustering helps to attain this by reducing the network overheads and complexities. Hence, this paper aims to explore the optimal cluster head (CH) for energy efficient routing in WSN. The key contribution relies on optimal CH selection, in which an algorithm named Lion based Firefly algorithm (L-FF) is used. Accordingly, a new multi-objective model is developed with respect to the various constraints such as distance, delay, and energy. Finally, in terms of throughput, network lifetime, mean residual energy and Standard deviation with the improvement of the presented method is established over existing models.

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Adaptive PSO with optimised firefly algorithms for secure cluster‐based routing in wireless sensor networks

Cited by 42 publications

References 33 publications

Secure Routing using Multi-Objective Trust Aware Hybrid Optimization for Wireless Sensor Networks

Secure Routing using Multi-Objective Trust Aware Hybrid Optimization for Wireless Sensor Networks

Network Lifetime Improvement through Energy-Efficient Hybrid Routing Protocol for IoT Applications

Hybrid Metaheuristic Algorithm for Cluster Head Selection in WSN

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