Enhancing The Lifetime of Wireless Sensor Network using Genetic Algorithm

Alazzam, Hadeel; Almobaideen, Wesam

doi:10.1109/iacs.2019.8809109

Cited by 7 publications

(1 citation statement)

References 20 publications

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“…Finally, an efficient population of a candidate solutions arrangement is shaped. In the above depiction, an efficient localization algorithm has described the operation of the sensor network (Alazzam & Almobaideen, 2019). The most effective DV localization algorithm is defined as follows: (Rout et al, 2016).…”

Section: Ga Approachmentioning

confidence: 99%

Node Localization in Wireless Sensor Networks using Dynamic Genetic Algorithm

Rout¹,

Mohapatra²,

Rath

et al. 2022

JART

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A wireless sensor network is a collection of nodes organized in a cooperative environment. Node localization plays a vital role in many applications. Conventional location detection techniques such as global positioning system (GPS) and infrared are expensive to find the location node. This paper proposes the use of a genetic algorithm (GA) to learn the environment impairments within a wireless sensor network with the purpose of localization for data management. Hence, in this paper, we have presented an efficient and dynamic Genetic algorithm with help of receiving signal strength indicator (RSSI) which gives the optimal node location value with minimal localization error. Our simulation modeled in MATLAB 7.0 shows that the dynamic GA can achieve acceptable node location detection with the aid of three anchors. The simulation results represent th

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Section: Ga Approachmentioning

confidence: 99%

Node Localization in Wireless Sensor Networks using Dynamic Genetic Algorithm

Rout¹,

Mohapatra²,

Rath

et al. 2022

JART

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Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Adday,

Subramaniam,

Zukarnain

et al. 2024

IEEE Access

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Wireless Sensor Networks (WSNs) serve as the backbone for the Internet of Things (IoT) and smart cities, enabling the gathering of essential data and vital information. The widespread deployment of sensors created new scenarios that presented new domains for various applications. Due to their numerous advantages, WSN's simulators are still gaining considerable attention as the primary method for testing and evaluating new protocols and approaches for WSN. The scientific community has developed various simulators, some tailored explicitly for WSNs and others for general use. In addition, an old but renovated direction has been enormously grown recently, representing the researcher's attention to building its own simulator. However, many researchers struggle to select the most appropriate tool for performance analysis, which requires extensive research into available options. Choosing a suitable simulator to meet the necessary simulation criteria necessitates exhaustive research into the available options. The published studies on WSN's simulators have limitations, such as the limited number of simulators under examination, ignoring the essential functions of the simulators, and inadequate performance criteria for precise comparison. To get beyond these restrictions in previous studies and offer a fresh study that compares the simulation tools comprehensively, an analysis of thirty-three different simulators was conducted based on a new taxonomy. Furthermore, this study examines the advantages and constraints of each simulator regarding many specific academic areas in WSNs. Moreover, the study presented a detailed comparison among the performance analysis tools according to many famous performance metrics.

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Application Based Caching in Fog Computing to Improve Quality of Service

Almobaideen

Malkawi

2020

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)

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Enhancing The Lifetime of Wireless Sensor Network using Genetic Algorithm

Cited by 7 publications

References 20 publications

Node Localization in Wireless Sensor Networks using Dynamic Genetic Algorithm

Node Localization in Wireless Sensor Networks using Dynamic Genetic Algorithm

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Application Based Caching in Fog Computing to Improve Quality of Service

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