A Method for Energy Balance and Data Transmission Optimal Routing in Wireless Sensor Networks

Liu, Xuesong; Wu, Jie

doi:10.3390/s19133017

Cited by 57 publications

(32 citation statements)

References 31 publications

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“…It is simple because paths between source nodes and the base station can be constructed in a short time. Similarly, it is scalable because as the number of sensor nodes becomes large, the method and complexity to create paths between the source nodes and the base station do not change [13].…”

Section: A the Significance Of The Routing Protocol For Wireless Senmentioning

confidence: 99%

An Improved Ant Colony Optimization Algorithm: A Technique for Extending Wireless Sensor Networks Lifetime Utilization

Abidoye¹,

Ochola²,

Obagbuwa³

et al. 2020

IJACSA

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Wireless sensor networks (WSNs) are one of the most essential technologies in the 21st century due to their increase in various application areas and can be deployed in areas where cable and power supply are difficult to use. However, sensor nodes that form these networks are energyconstrained because they are powered by non-rechargeable small batteries. Thus, it is imperative to design a routing protocol that is energy efficient and reliable to extend network lifetime utilization. In this article, we propose an improved ant colony optimization algorithm: a technique for extending wireless sensor networks lifetime utilization called AMACO. We present a new clustering method to avoid the overhead that is usually involved during the election of cluster heads in the previous approaches and energy holes within the network. Moreover, fog computing is integrated into the scheme due to its ability to optimize the limited power source of WSNs and to scale up to the requirements of the Internet of Things applications. All the data packets received by the fog nodes are transmitted to the cloud for further analysis and storage. An improved ant colony optimization (ACO) algorithm is used to construct optimal paths between the cluster heads and fog nodes for a reliable end-to-end data packets delivery. The simulation results show that the network lifetime in AMACO increased by 22.0%, 30.7%, and 32.0% in comparison with EBAR, IACO-MS, and RRDLA before the first node dies (FND) respectively. It increased by 15.2%, 18.4%, and 33.5% in comparison with EBAR, IACO-MS, and RRDLA before half nodes die (HND) respectively. Finally, it increased by 28.2%, 24.9%, and 58.9% in comparison with EBAR, IACO-MS, and RRDLA before the last node dies (LND) respectively.

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Section: A the Significance Of The Routing Protocol For Wireless Senmentioning

confidence: 99%

An Improved Ant Colony Optimization Algorithm: A Technique for Extending Wireless Sensor Networks Lifetime Utilization

Abidoye¹,

Ochola²,

Obagbuwa³

et al. 2020

IJACSA

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“…Integrates modern information and advanced communication technologies, such as big data, cloud computing [25], wireless sensor network [26], wide area measurement systems [27], mobile Internet, and blockchain [28], the ubiquitous power IoT (UPIoT) has grown rapidly in recent years in China, which significantly improves the operation-state monitoring system of the transmission line. Using ultra-wideband localization technology [29] or DGPS [15], a tag can be accurately positioned in three-dimensional space.…”

Section: Problem Formulationmentioning

confidence: 99%

Energy-Efficient Reconstruction Method for Transmission Lines Galloping With Conditional Generative Adversarial Network

Cao

et al. 2020

IEEE Access

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Conductor galloping seriously threatens the safe operation of power systems and may lead to various damages such as wire fractures or tower collapses and large-scale grid breakdowns. Real-time galloping data are important in the mechanism and effect analysis of conductor dancing prevention; moreover, they are critical for verifying anti-galloping designs and developing galloping prevention plans. However, owing to the limitations of using sensors on cables, obtaining complete galloping data is an ill-posed and challenging problem. In this study, a novel curve reconstruction method using a conditional generative adversarial network (GAN), CR-CGAN, is proposed for fully synthesizing transmission line galloping curves. We use the modeling capabilities of the recently introduced GAN by imposing additional constraints to achieve full reconstruction of the galloping curves. Moreover, we introduce a novel design in the generator-discriminator pair for improved results and a new refined loss function to enhance details. The generator uses an autoencoder with skip connections, and the inception module is used to capture different scales of spatiotemporal correlation. The discriminator is designed to use global information to determine the reliability and smoothness of the reconstructed curve. The refined loss function is aimed at reducing artifacts introduced by the GAN and ensures better reconstruction quality. A single-degree-offreedom model is constructed to verify the effectiveness and feasibility of the proposed method. Simulation results demonstrate that the proposed method can accurately reconstruct galloping curves with limited use of sensors, thus meeting the energy efficiency demands of the monitoring system.

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“…Wireless sensor network (WSN) is consisting of a large number of sensor nodes, monitors, collects, and processes data of physical and environmental conditions, and then transmits this information to the user terminal wirelessly 14 . The wireless sensor network is one of the most important networks of MANETs, which has gained more attention from researchers due to its wide and vital applications.…”

Section: The Basic Concepts Of Service Discover and Clustering Approachmentioning

confidence: 99%

Service redundancy and cluster‐based routing protocols for wireless sensor and mobile ad hoc networks: A survey

Yagoub

Rodrigues

Khalifa

et al. 2020

Int J Communication

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SummaryService discovery (SD) is the cornerstone of wireless and mobile systems. The discovery of effective service is the key to achieve a higher level of ubiquity, which ensures the availability of services to users and applications significantly, and the high use of services. The research in this field is limited, with a few SD protocols available for specific purposes specified in the 6LoWPAN region. This paper discusses the various issues and challenges facing the design and selection of the appropriate service discovery and cluster‐based mechanism. Moreover, attention has been drawn to the cross‐layer solution by discussing different clustering techniques used to solve the redundancy problems. Furthermore, the service discovery protocols and cluster‐based routing protocols are critically investigated considering the redundancy problem, methods, mechanisms, and architectures by categorizing them into different categories, comparing them with fundamental parameters in the WSNs and MANETs environments. In addition, a modern form is proposed to show the life cycle of the service discovery process, and a new figure has been designed to clarify to the researchers various of the open issues related to the service discovery and cluster‐based routing protocols, corresponding objectives and the techniques of solving problems. Through the discussion of the scientific papers under survey, important results and valuable recommendations were reached. The survey is concluded with a summary, open research issues, outlook, and directions for future research on the topic.

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A Method for Energy Balance and Data Transmission Optimal Routing in Wireless Sensor Networks

Cited by 57 publications

References 31 publications

An Improved Ant Colony Optimization Algorithm: A Technique for Extending Wireless Sensor Networks Lifetime Utilization

An Improved Ant Colony Optimization Algorithm: A Technique for Extending Wireless Sensor Networks Lifetime Utilization

Energy-Efficient Reconstruction Method for Transmission Lines Galloping With Conditional Generative Adversarial Network

Service redundancy and cluster‐based routing protocols for wireless sensor and mobile ad hoc networks: A survey

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