Harris Harks Optimization Based Clustering With Fuzzy Routing for Lifetime Enhancing in Wireless Sensor Networks

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 12149 - 12163

Published: Jan. 1, 2024

In wireless sensor networks (WSNs), energy preservation through clustering and routing protocols has been verified as a significant effective method to extend the network lifetime. However, hot spot problem, excessive message overhead used for cluster formation, frequent maintenance are still main challenges in protocols. The objective of this paper is overcome these problems enhance lifetime by proposing new protocol combined Harris Harks Optimization Clustering with Fuzzy Routing named HHOCFR. HHOCFR, an improved harks optimization (HHO) algorithm utilized select best heads (CHs) form optimal clusters simultaneously novel encoding mechanism. Moreover, good point set based population initialization neighborhood centroid opposition learning mechanism accelerate convergence avoid being trapped into local optima. Thus, no extra needed formation. addition, fuzzy logic system (FLS) considers residual energy, consumption deviation cluster, distance crossover descriptors make decision on relay CH determination each CH, resulting balance among CHs so mitigate problem. Thereafter, monitor determine whether rotation or re-clustering started maintain clusters, which further decreases network. According results, average HHOCFR increased 34.20%, 28.11%, 23.65% 17.43%, compared IBRE-LEACH, DAPFL, IHHO-F HHO-UCRA. For throughput, 12.7%, 13.51%, 20.95%, 10.87% higher than he lower HHO-UCRA 42.73%, 23.74%, 25.58%, 23.23%, respectively.

Language: Английский

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Design and investigation of a torsional disc-triboelectric nanogenerator with magnetic tristable mechanism

Mechanical Systems and Signal Processing, Journal Year: 2025, Volume and Issue: 229, P. 112515 - 112515

Published: March 3, 2025

Language: Английский

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SMEOR: Sink mobility‐based energy‐optimized routing in energy harvesting‐enabled wireless sensor network

International Journal of Communication Systems, Journal Year: 2023, Volume and Issue: 37(4)

Published: Dec. 4, 2023

Summary For accurate environmental monitoring, a wireless sensor network (WSN) uses collection of autonomous nodes (SNs) that are dispersed at random across given area. WSNs used for various applications require real‐time data. While the SNs in WSN limited their ability to generate energy, routing process is seen as vital means improving network's conserve resources and prolong its useful life. In this research work, we present sink mobility‐based energy‐optimized (SMEOR) energy harvesting (EH)‐enabled WSN. following cluster‐based routing, election cluster head (CH) executed using our proposed extended spotted hyena Lévy flight optimization (ESHLFO) algorithm. Furthermore, address energy‐hole problem, four data‐collection energy‐unlimited around periphery network. The moves from one EH‐enabled node another collect Further, security SMEOR ensured by encrypting data stream cipher stochastically generated key. It evident simulation analysis delivers longevity supreme performance.

Language: Английский

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FONIC: an energy-conscious fuzzy-based optimized nature-inspired clustering technique for IoT networks

The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 80(13), P. 19845 - 19897

Published: May 29, 2024

Language: Английский

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Wireless body area networks for healthcare in smart hospital

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 331 - 349

Published: Jan. 1, 2025

Language: Английский

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Bridging FANETs and MANETs for synchronous data collection in precision agriculture activities using AirPro-FL: An energy aware fuzzy logic routing protocol

Internet of Things, Journal Year: 2025, Volume and Issue: unknown, P. 101535 - 101535

Published: Feb. 1, 2025

Language: Английский

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LEGO‐EATO: A Novel Energy‐Aware Traffic Obfuscation System for Secure and Efficient Software‐Defined Wireless Sensor Networks

International Journal of Communication Systems, Journal Year: 2025, Volume and Issue: 38(7)

Published: March 22, 2025

ABSTRACT Software‐defined networking is a network architecture that centralizes control, enabling more flexible, programmable, and adaptive management. Various traditional methods struggle to adapt dynamic topologies varying traffic patterns. This paper presents an enhanced obfuscation system for software‐defined wireless sensor networks integrates Lévy flight–enhanced golf energy‐aware mechanism achieve secure energy‐efficient routing. The prominent aim of the proposed methodology enhance security by obfuscating flows, making it challenging attackers analyze predict data transmission Simultaneously, approach optimizes energy consumption extend operational lifetime networks, which are often constrained limited power resources. implements six strategies: node deployment SDN management, with dummy packets, topology adjustment efficient routing, optimized transmission, continuous reconfiguration against evolving threat. Finally, experimental findings revealed effectiveness system. In 200 nodes, total was reduced 18%, while increased 27%, leading 14% improvement in lifetime. For 300 22%, improved 25%, significantly enhancing efficiency.

Language: Английский

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Hardware Implementation of Fuzzy Logic‐Based Energy‐Efficient Routing Protocol for Environment Monitoring Application of Wireless Sensor Networks

International Journal of Communication Systems, Journal Year: 2025, Volume and Issue: 38(8)

Published: April 8, 2025

ABSTRACT The application of wireless sensor network (WSN) technology provides a cost‐effective, intelligence‐driven solution for addressing various challenges. WSNs have emerged as highly promising technology, finding applications in environmental monitoring, surveillance, and the development smart cities. However, primary challenge is limited energy resources individual nodes. Preserving crucial to extend network's operational lifespan ensuring multihop data transmission. main objective this work develop routing protocol focused on enhancing efficiency within hybrid monitoring implementing it hardware. This integrates methodologies such aggregation, cluster‐based routing, sleep scheduling optimize utilization effectively longevity. By considering factors like residual proximity neighboring nodes, innovative employs techniques. allows certain nodes conserve through periodic transitions into low‐power modes. proposed undergoes rigorous evaluation extensive experiments comparative analysis with existing protocols, specifically terms consumption lifespan. results conclusively highlight substantial enhancement achieved by protocol, leading notably prolonged an overall boost performance. insights derived from protocol's findings contribute significantly domain WSNs, offering valuable guidance design implementation energy‐efficient protocols real‐world scenarios.

Language: Английский

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Golden Jackal and Enhanced Remora Optimization‐Based Sink Mobility for Energy Hole Mitigation in Underwater Wireless Sensor Network

International Journal of Communication Systems, Journal Year: 2025, Volume and Issue: 38(10)

Published: May 12, 2025

ABSTRACT Underwater wireless sensor networks (UWSNs) face challenges like limited bandwidth, high‐energy consumption, and the energy hole problem, where nodes near sinks deplete faster, reducing network performance lifespan. To address these issues, we propose hybrid optimization‐based sink mobility for mitigation in UWSNs (HOSEMU), utilizing a golden jackal optimization (GJO) enhanced remora (ERO) approach, termed GJERO. GJERO combines GJO's global search ERO's local to enhance cluster head (CH) selection, balancing consumption improving convergence. Sink toward energy‐depleted CHs further ensures efficient data collection extended Simulation results MATLAB show that HOSEMU outperforms existing methods, stability by 19.4% over energy‐efficient routing stable reporting algorithm (EERSDRA) 28.7% energy‐conserving (ECERO). These demonstrate HOSEMU's effectiveness addressing UWSN‐specific enhancing performance.

Language: Английский

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Fuzzy Clustering and Routing Protocol With Rules Tuned by Improved Particle Swarm Optimization for Wireless Sensor Networks

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 128784 - 128800

Published: Jan. 1, 2023

Fuzzy clustering and routing protocols have been proven to improve energy efficiency, extend network scalability, increase throughput, balance load as well prolong lifetime. However, rules defined manually according field experts are impossible or impractical achieve the optimal solution for a Inference System (FIS). Therefore, Novel Clustering Routing Protocol called NFCRP is proposed in this paper by using an improved Particle Swarm Optimization (PSO) algorithm tune fuzzy rules. Firstly, one FIS used complete based on effective input parameters including residual energy, node degree deviation, distance centrality, thereby forming clusters minimizing intra-cluster consumption. Secondly, other adopted perform with descriptors BS, data hence addressing inter-cluster Finally, of both FISs tuned PSO whose updated introducing chaotic mapping adaptive inertia weight. Simulation experiments conducted verify performance against LEACH, EFUCA, EEFUC, FBCR FMSFLA. According results, average lifetime has increased 79.59%, 47.99%, 50.35%,15.66 13.04%, compared For standard deviation CH's traffic load, decreases it 29.29% over 31.42% 25.28% outperforms FMSFLA 16.87%, 46.52%, 48.18%, 29.97 71.79%. In addition, also reduces consumption 53.95%, 23.76%, 38.72%, 15.71 27.18% FMSFLA, respectively.

Language: Английский

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