Performance of mobile base station using Genetic Algorithms in Wireless Sensor Networks

Latiff, Nurul Adilah Abdul; Ismail, I. S.

doi:10.1109/gemic.2016.7461603

Cited by 11 publications

(5 citation statements)

References 7 publications

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“…Abdul Latiff and Ismail [24] proposed a genetic algorithm (GA) based protocol for optimizing the base station's position. There is a restriction of a pre-determined location for calculating the position of the base station.…”

Section: Literature Reviewmentioning

confidence: 99%

Ant Lion Optimizer Based Clustering Algorithm for Wireless Body Area Networks in Livestock Industry

et al. 2021

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Wireless Body Area Networks (WBANs) are emerging in the livestock industry for remote monitoring of cattle using wireless body sensors (WBS). The random mobility of animals acting as nodes causes the network's topology to change rapidly, originating from scalability and reliability issues. Stable transmission of acquired data to the base station requires an intelligent clustering mechanism that reduces the energy consumption and fulfills the network's constraints. Several clustering techniques are available as a solution, but these techniques yield numerous cluster heads, resulting in more energy utilization. Higher energy utilization lessens the effective life of WBSs and increases monitoring costs. This paper presents a metaheuristic approach for selecting optimal clusters in WBANs to realize an energy-efficient routing protocol for livestock health and behavior monitoring. The proposed approach employs Ant Lion Optimizer (ALO) to select the optimal clusters for different pasturage sizes using sensors of different transmission ranges considering user's preferences about cluster density. The proposed technique with ALO is compared with other recent techniques such as Ant Colony Optimization, Grasshopper Optimization, and Moth Flame Optimization. The comparison results show the proposed technique's effectiveness in realizing energyefficient protocols of WBANs for remote monitoring applications.

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Section: Literature Reviewmentioning

confidence: 99%

Ant Lion Optimizer Based Clustering Algorithm for Wireless Body Area Networks in Livestock Industry

et al. 2021

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“…In [43] a procedure using Genetic Algorithms for mobile users to obtain the prearranged positions of base stations through the ideal position of the base station from virtual base station positions. The outcome of the simulation for performing the suggested procedure concerning the normalized network lifetime proves that the length of the network field is inversely proportional to the value for the normalized lifetime.…”

Section: Literature Reviewmentioning

confidence: 99%

Utilization of huffman coding for weather buoy system using long-range communication

Velasco¹,

Credo²,

Salazar³

et al. 2021

IJATEE

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Weather defines the short-term condition of the atmosphere in a certain region, while climate is the statistical weather condition at a given place during a specified period of time. Climate change describes the change of weather patterns over time within the range of decades to millions of years. According to studies, earth is experiencing climate change due to human activities. This past decade, predicting the weather condition has become a tough problem that humans encounter everywhere around the world. This sometimes results in an inaccurate weather prediction. But in order to predict and lessen the possibilities that risk and harm people's lives, developing marine weather information like buoys is done. Deploying weather buoys in the ocean helps predict weather conditions in a specific location in real-time. It is used to monitor the conditions of the ocean's surface and deep below it. *Author for correspondenceThe buoys also help to forecast natural phenomena such as earthquakes and storms by using sensors to gather different parameters such as air temperature, air density, relative humidity, wind speed, rainfall, solar radiation, water temperature and salinity profile [1].In predicting weather conditions, deploying weather buoy can now be deployed together with Wireless Sensor Networks (WSNs). WSNs are used in different areas of technology involving environment monitoring, medicine fields, logistics, etc. New Internet of Things (IoT) innovations, such as Long Range (LoRa), is evolving, allowing for very long wavelengths of power-efficient wireless connectivityLoRa is a technology is rapidly turning up and is used because of its technical advantages such as the lifetime of battery, long range, security and more [2]. LoRa has a good resistance to interference and provides

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“…Taking the point into attention, a network should run with minimum energy as possible to growth lifetime of the network for refining the total energy efficiency. In this paper [7], they projected a procedure for a mobile base position using Genetic Algorithms to discovery best position for the base position from virtual base position locations called predetermined locations of base position. Imitation results for performance of the planned procedure in term of normalized network lifetime expressions that the larger scope of network area, the lower value for normalizing lifetime.…”

Section: Literutre Reviewmentioning

confidence: 99%

Genetic algorithm in Wireless Networking: A Review

Abualigah¹

2019

IJSAIT

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The genetic algorithm (GA) is a powerful metaheuristic inspired by the genes selection behavior of the natural human. In addition, it is clear, easy to use, soft, and has a special ability to discover the right balance between the exploration and exploitation strategies during the search, which points to positive convergence. Therefore, the genetic algorithm has recently obtained a very important research concern with the large public from several areas in a very short time. The genetic algorithm has proved its efficiency in wireless network applications since its proposal. In this paper, the genetic algorithm, its operators, and the related wireless networks works that utilized this algorithm are presented.

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Performance of mobile base station using Genetic Algorithms in Wireless Sensor Networks

Cited by 11 publications

References 7 publications

Ant Lion Optimizer Based Clustering Algorithm for Wireless Body Area Networks in Livestock Industry

Ant Lion Optimizer Based Clustering Algorithm for Wireless Body Area Networks in Livestock Industry

Utilization of huffman coding for weather buoy system using long-range communication

Genetic algorithm in Wireless Networking: A Review

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