Network Performance Enhancement of Multi-sink Enabled Low Power Lossy Networks in SDN Based Internet of Things

With the development of the internet of things, people pay more and more attention to wireless sensor networks. Designing the energy efficient routing is an essential objective for wireless sensor networks. Cluster routing is one of the most popular routing protocols to enhance the network lifetime. However, hotspot problem always exists in cluster-based routing protocol. The task of this study is designing a cluster routing protocol with mobile base station which aims at balancing the energy consumption and prolonging the network lifetime. In this article, we design a particle swarm optimization and artificial bee colony algorithm for clustering and mobile based software-defined wireless sensor networks. The software defined network architecture is used to reduce the energy overhead and computation overhead in sensor nodes. Particle swarm optimization-based cluster routing algorithm is used to calculate the cluster heads and the sojourn locations of base station. Artificial bee colony algorithm-based traversal path algorithm is used to design the move path of the base station. Comparing with relevant protocols, the proposed protocol reduces the energy consumption, enhances the network lifetime and reduces the control overhead.

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“…Shabbir et al [19] proposed an SDN-based routing solution for internet of things (IoT). It uses in the mesh and cluster topological scenario.…”

Section: Sdn-based Routing Protocolmentioning

confidence: 99%

Particle swarm optimization and artificial bee colony algorithm for clustering and mobile based software-defined wireless sensor networks

2022

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“…Therefore, in addition to using environmental energy such as solar energy, mechanical energy, wind energy, electromagnetic energy, vibration energy, and temperature difference energy to supplement the node battery energy, so that the node will achieve a certain degree of self-power, the main way is to reduce the energy consumption of wireless sensing nodes or wireless sensing nodes for low-power design [9]. Therefore, research on low-power technologies for nodes in wireless sensing networks is important to promote the level of performance of wireless sensing networks revealing that the chain reaction of factors with cause-and-effect relationships is the basic process that causes accidents and has a great impact on safety management [10]. Scholars are more advanced in their research on safety management and have developed visual 4D technology models to link personnel in various departments thereby increasing team safety awareness.…”

Section: Related Workmentioning

confidence: 99%

Optimization and Simulation of a Dynamic Management System for Building Construction Based on Low-Power Wireless Sensor Networks

2022

Journal of Sensors

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In this paper, we use a low-power wireless sensor network to conduct in-depth research and analysis on the optimization simulation of the dynamic management system of building construction and study the specific application of BIM technology in the information management of building construction sites. By analysing the classical delustering routing and combining the advantages in the delustering routing protocols, we propose a two-level Mesh wireless sensor network delustering routing protocol in terms of cluster head uniformity, energy consumption and balance, working mode, and handling of isolated nodes. The most important feature of this protocol compared to other delustering protocols is that it retains the design of flat network topology and designs three routing methods with the corresponding functions of wireless sensor networks to achieve better network performance. The supported personnel location technology and construction measures and environmental monitoring technology are introduced, the applicability of the technology in the building construction process is compared and analysed, the topology of construction measures and environmental monitoring technology is designed, and finally, the targeted development of the collection scheme for personnel, scaffolding, formwork, pits, cranes, construction hoists, and physical environment is completed. Firstly, it analyses the development status of BIM-based building construction site information management technology and application and discusses the basis of BIM technology implementation and the advantages of BIM technology application in information management. Then, this paper constructs the framework of a BIM-based building construction site information management system from three dimensions: functional, logical, and physical. To ensure the realizability and operability of the system, this paper discusses the operation mechanism of the BIM-based building construction site information management system, studies the key technology of system operation, designs the basic operation process of each application system of the system, and elaborates the organizational structure of the building construction site and the functional division of the relevant personnel.

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“…They improve the 'success rate' which denotes the ratio of the number of successfully received data packets at BSs to the total number of data packets generated by a node. In [273], the authors introduce an SDN-based solution for resource-constrained IoT devices that need to select the best router to connect as the edge node. The network includes multi-sink (i.e., edge nodes) and the clusters use RPL to establish routes between clusters and edge nodes.…”

Section: Existing Solutions and Techniques Includementioning

confidence: 99%

A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms

Shahraki

Taherkordi

Haugen

et al. 2021

IEEE Trans. Netw. Serv. Manage.

120

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Many Internet of Things (IoT) networks are created as an overlay over traditional ad-hoc networks such as Zigbee. Moreover, IoT networks can resemble ad-hoc networks over networks that support device-to-device (D2D) communication, e.g., D2D-enabled cellular networks and WiFi-Direct. In these ad-hoc types of IoT networks, efficient topology management is a crucial requirement, and in particular in massive scale deployments. Traditionally, clustering has been recognized as a common approach for topology management in ad-hoc networks, e.g., in Wireless Sensor Networks (WSNs). Topology management in WSNs and ad-hoc IoT networks has many design commonalities as both need to transfer data to the destination hop by hop. Thus, WSN clustering techniques can presumably be applied for topology management in ad-hoc IoT networks. This requires a comprehensive study on WSN clustering techniques and investigating their applicability to ad-hoc IoT networks. In this paper, we conduct a survey of this field based on the objectives for clustering, such as reducing energy consumption and load balancing, as well as the network properties relevant for efficient clustering in IoT, such as network heterogeneity and mobility. Beyond that, we investigate the advantages and challenges of clustering when IoT is integrated with modern computing and communication technologies such as Blockchain, Fog/Edge computing, and 5G. This survey provides useful insights into research on IoT clustering, allows broader understanding of its design challenges for IoT networks, and sheds light on its future applications in modern technologies integrated with IoT.

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Network Performance Enhancement of Multi-sink Enabled Low Power Lossy Networks in SDN Based Internet of Things

Cited by 22 publications

References 36 publications

Particle swarm optimization and artificial bee colony algorithm for clustering and mobile based software-defined wireless sensor networks

Particle swarm optimization and artificial bee colony algorithm for clustering and mobile based software-defined wireless sensor networks

Optimization and Simulation of a Dynamic Management System for Building Construction Based on Low-Power Wireless Sensor Networks

A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms

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