Efficient Clustering based Genetic Algorithm in Mobile Wireless Sensor Networks

Rady, Asmaa; Sabor, Nabil; Shokair, Mona; El-Rabaie, El-Sayed M.

doi:10.21608/mjeer.2020.22923.1006

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…In recent years, some common smart city infrastructure, such as urban transportation monitoring system, urban environmental monitoring system, and urban waste management system, gradually applied wireless sensor network to the system's construction, truly real-time accurate science management. Rady et al installed a large number of sensors in the Fuhu Bridge on the Beijing-Hangzhou Grand Canal, which constitutes the largest wireless sensor network detection system in the world through the sensor node and detects all kinds of information on the bridge and use wireless sensing network [2]. "Pulse" large bridge.…”

Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Research on Wireless Sensor Network Positioning Based on Genetic Algorithm

Zhang

2021

Wireless Communications and Mobile Computing

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For smart city wireless sensing network construction needs, a network positioning algorithm based on genetic algorithm is proposed. The genetic algorithm uses a real number encoding, and the positioning model is constructed by analyzing the communication constraint between unknown nodes and a small amount of anchor nodes and constructs the positioning model, and the model is solved. The results show that when the ranging error is 50%, the positioning error is only increased by approximately 15% compared to the nonranging error. In a more harsh environment, if the ranging error is equal to the node wireless range, the ranging error is 100%, and the positioning error and the positioning ratio are not significantly changed. The scheme obtained by this algorithm can be well approarded with an ideal limit. In the case where the sensor node is given, the algorithm can obtain the maximum coverage.

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Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Research on Wireless Sensor Network Positioning Based on Genetic Algorithm

Zhang

2021

Wireless Communications and Mobile Computing

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“…This paper analyzes the credit evaluation value chain of tobacco retail enterprises, as shown in Figure 1 1, the internal and external value of an enterprise can be divided into basic activities and supporting activities. The credit value created by different enterprises in different stages is different [16][17][18] . The business activities that really create favorable value are the "strategic advantages" of the enterprise.…”

Section: Design Of Credit Evaluation Methods For Tobacco Retail Enter...mentioning

confidence: 99%

Research on Credit Evaluation Method of Tobacco Retail Enterprises Based on Hierarchical Clustering Algorithm

Xiao,

Zhu,

Zhang

et al. 2024

Preprint

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The conventional enterprise credit evaluation method is mainly financial evaluation, and the credit evaluation indicators are not perfect. Therefore, a credit evaluation method for tobacco retail enterprises based on hierarchical clustering algorithm is designed. Select tobacco retail enterprise credit evaluation indicators to measure enterprise credit indicators in all aspects. Based on the hierarchical clustering algorithm, the credit evaluation index system of retail enterprises is constructed to determine the importance of each evaluation index and reflect the contribution of this index, so as to achieve effective credit evaluation of tobacco retail enterprises. The example analysis verifies that the evaluation method is more accurate and can be applied in real life.

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“…The paper in Rady et al 60 presents an Improved Mobility‐based Genetic Algorithm Hierarchical routing Protocol (IMGAHP) to handle the PDR issue in MGAHP and maximize the network stability period. This algorithm depended on two main points.…”

Section: Routing Protocolsmentioning

confidence: 99%

Comprehensive survey of routing protocols for Mobile Wireless Sensor Networks

Rady

El-Rabaie

Shokair

et al. 2021

Int J Communication

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Summary Mobile Wireless Sensor Networks (MWSNs) have emerged as a new evolution trend in Wireless Sensor Networks (WSNs) technology as a result of the growth and popularization of mobile terminal technology. WSNs' feature spectrum is greatly expanded by the mobility of nodes introduced by MWSNs. MWSN is a network with lots of sensors that are initially distributed randomly and collaborate to gather, process, and transmit information around targets to the sink node. MWSN is an overgrowth and emerging technology with significant applications that provide free moving for sensors and adaptable communicating with each other without fixed infrastructure. Because of their small size, they have limited radio capability, storage, and power. Therefore, MWSNs are utilized to improve network lifetime, energy expenditure, and channel capacity than fixed WSNs. Many routing protocols have recently been introduced to perform advances in the field of energy expenditure for MWSN data collection. This paper introduces a survey on hierarchical‐based routing protocols for MWSNs. The survey outlines the classification of the routing techniques in the aspect of mobility. The comparisons between Mobile Sensor Node (MSN) protocols, Mobile Sink (MS) protocols, and protocols for mobile of both sink and sensor node together are introduced individually. Moreover, the commercial software programs for MWSNs are discussed. Finally, the challenges and future trends in MWSNs are presented.

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Efficient Clustering based Genetic Algorithm in Mobile Wireless Sensor Networks

Cited by 3 publications

References 16 publications

[Retracted] Research on Wireless Sensor Network Positioning Based on Genetic Algorithm

[Retracted] Research on Wireless Sensor Network Positioning Based on Genetic Algorithm

Research on Credit Evaluation Method of Tobacco Retail Enterprises Based on Hierarchical Clustering Algorithm

Comprehensive survey of routing protocols for Mobile Wireless Sensor Networks

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