Optimization of sensor battery charging to maximize lifetime in a wireless sensors network

Carrabs, Francesco; D’Ambrosio, Ciriaco; Raiconi, Andrea

doi:10.1007/s11590-020-01533-y

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…To enhance cluster formation and energy-efficient routing, Carrabs et al (2020) offer a Memetic Algorithm-based Improved LEACH (MA-ILEACH) strategy. This technique combines genetic operators with local search mechanisms, prolonging network lifespan and increasing data transmission efficiency [3]. By presenting a column generation method with a genetic metaheuristic, providing a fresh formulation for the subproblem's optimal resolution, and showcasing the superiority of their methodology over earlier methods, they further expand on their work from 2017 [4].…”

Section: Related Workmentioning

confidence: 99%

Design and performance assessment of improved evolutionary computing based LEACH protocol for energy efficient and lifetime extension of wireless sensor network

Jain,

Mathur

2024

Eng. Res. Express

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The strengths of a Memetic Algorithm and an enhanced Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol are combined in this research study to propose a revolutionary method for improving the energy efficiency and longevity of Wireless Sensor Networks (WSNs). WSNs are widely used for a variety of applications, including industrial automation, healthcare, and environmental monitoring, where extending network lifetime and energy conservation are crucial. Although successful, conventional clustering algorithms like LEACH feature subpar cluster formation and premature cluster head failures. To get over these restrictions, a memetic algorithm is used to maximize cluster formation and reduce energy usage. This algorithm was influenced by natural evolution and cultural learning processes. The Memetic Algorithm iteratively improves the LEACH protocol in the proposed technique by enhancing dynamic clustering, energy-aware routing, and cluster head selection. These methods work together to increase energy efficiency and lengthen the life of the network. In compared to conventional LEACH-based WSNs and other cutting-edge algorithms, the paper's study of the simulation results shows how successful the suggested technique is. In light of network longevity, energy use, and data transmission efficiency, the results obtained demonstrate notable improvements.

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Section: Related Workmentioning

confidence: 99%

Design and performance assessment of improved evolutionary computing based LEACH protocol for energy efficient and lifetime extension of wireless sensor network

Jain,

Mathur

2024

Eng. Res. Express

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“…A detailed discussion about such methods, which are also used in context with electrical vehicles, can be found elsewhere. [ 109–113 ] The energy requirement for sweat‐based system could vary with the type of electrodes as briefly discussed in Section 3.…”

Section: Key Components Of Energy‐autonomous Wearable Systemsmentioning

confidence: 99%

Energy Autonomous Sweat‐Based Wearable Systems

et al. 2021

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The continuous operation of wearable electronics demands reliable sources of energy, currently met through Li‐ion batteries and various energy harvesters. These solutions are being used out of necessity despite potential safety issues and unsustainable environmental impact. Safe and sustainable energy sources can boost the use of wearables systems in diverse applications such as health monitoring, prosthetics, and sports. In this regard, sweat‐ and sweat‐equivalent‐based studies have attracted tremendous attention through the demonstration of energy‐generating biofuel cells, promising power densities as high as 3.5 mW cm−2, storage using sweat‐electrolyte‐based supercapacitors with energy and power densities of 1.36 Wh kg−1 and 329.70 W kg−1, respectively, and sweat‐activated batteries with an impressive energy density of 67 Ah kg−1. A combination of these energy generating, and storage devices can lead to fully energy‐autonomous wearables capable of providing sustainable power in the µW to mW range, which is sufficient to operate both sensing and communication devices. Here, a comprehensive review covering these advances, addressing future challenges and potential solutions related to fully energy‐autonomous wearables is presented, with emphasis on sweat‐based energy storage and energy generation elements along with sweat‐based sensors as applications.

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Energy Efficiency and Fault Tolerance in Wireless Sensor Networks: Analysis and Review

Sahu¹,

Silakari²

2022

Lecture Notes in Networks and Systems

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Optimization of sensor battery charging to maximize lifetime in a wireless sensors network

Cited by 4 publications

References 20 publications

Design and performance assessment of improved evolutionary computing based LEACH protocol for energy efficient and lifetime extension of wireless sensor network

Design and performance assessment of improved evolutionary computing based LEACH protocol for energy efficient and lifetime extension of wireless sensor network

Energy Autonomous Sweat‐Based Wearable Systems

Energy Efficiency and Fault Tolerance in Wireless Sensor Networks: Analysis and Review

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