Artificial Intelligence–Based Energy‐Efficient Clustering and Routing in IoT‐Assisted Wireless Sensor Network

Chouhan, Nitesh

doi:10.1002/9781119761686.ch3

Cited by 8 publications

(7 citation statements)

References 16 publications

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“…Each of them is characterized by range and transmission rate, operating frequency range, function and purpose, as well as other characteristics that determine the structure and structural features of remote telecommunication networks [3]. In the architec-tural aspect, the main difference between classical telecommunication radio networks and BSS is the use of a large number of supramundane intelligence sensors in the network that transmit small blocks of information over long distances (10-100 m) on average [4]. A zinc bromide liquid flow battery consists of a bromide salt dissolved in an electrolyte.…”

Section: Related Workmentioning

confidence: 99%

“…Modern wireless networks are mainly based on the ZigBee standard [3]. A significant number of industries and market segments (manufacturing, various types of transportation, security, safety, security, safety, and security) are ready to implement sensor networks, and this volume is continuously increasing [4,5]. This trend is related to technological processes, the development of production, expanding the needs of individuals in the security sectors, expanding the needs of resource control, and the use of material-material values [6,7].…”

Section: Introductionmentioning

confidence: 99%

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Multicluster Analysis and Design of Hybrid Wireless Sensor Networks Using Solar Energy

Vino

Sivaraju²,

Krishna

et al. 2022

International Journal of Photoenergy

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A wireless touch network is a distributed, self-organizing network of multiple sensors and actuators in combination with multiple sensors and a radio channel. Also, the security area of such a network can be several meters to several meters. The main difference between wireless sensor networks from traditional computer and telephone networks is the lack of a fixed infrastructure owned by a specific operator or provider. Each user terminal in a touch network is capable of acting as a terminal device only. Despite the long history of sensor networks, the concept of building a sensor network is not finally imposed and expressed in some software and hardware (platform) solutions. In this paper, the design and analysis of multicluster model of the sensor nodes in wireless sensor network with the help of solar energy. This proposed model provides the required energy to transmit the information between two end nodes in different cluster. The communication between the end to end clusters was increased based on this design. The implementation of sensory networks at the current stage depends largely on the specific needs of the industrial problem. The architecture, software, and hardware implementation technology is at an intensive development stage, attracting the attention of developers looking for a technological niche of future makers.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multicluster Analysis and Design of Hybrid Wireless Sensor Networks Using Solar Energy

Vino

Sivaraju²,

Krishna

et al. 2022

International Journal of Photoenergy

View full text Add to dashboard Cite

show abstract

“…Numerous current policies were offered for presenting energy efficient (EE) routing in WSNs. But, clustering-related protocols were mostly used for routing [9,10]. The energy can be effectively used when sending the data packets to the BS.…”

Section: Introductionmentioning

confidence: 99%

Blockchain Driven Metaheuristic Route Planning in Secure Wireless Sensor Networks

Rajesh¹,

Acharya²,

Hajiyev³

et al. 2023

Computers, Materials &Amp; Continua

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Recently, Internet of Things (IoT) has been developed into a field of research and it purposes at linking many sensors enabling devices mostly to data collection and track applications. Wireless sensor network (WSN) is a vital element of IoT paradigm since its inception and has developed into one of the chosen platforms for deploying many smart city application regions such as disaster management, intelligent transportation, home automation, smart buildings, and other such IoT-based application. The routing approaches were extremely-utilized energy efficient approaches with an initial drive that is, for balancing the energy amongst sensor nodes. The clustering and routing procedures assumed that Non-Polynomial (NP) hard problems but bio-simulated approaches are utilized to a recognized time for resolving such problems. With this motivation, this paper presents a new blockchain with Enhanced Hunger Games Search based Route Planning (BCEHGS-RP) scheme for IoT assisted WSN. The presented BCEHGS-RP model majorly employs BC technology for secure communication in the IoT supported WSN environment. In addition, an effective multihop route planning approach was designed by the use of EHGS technique. The proposed EHGS technique is derived from the concept of Hill Climbing strategy (HCS) and HGS algorithm. Moreover, a fitness function with two parameters namely residual energy (RE) and intercluster distance to elect optimal routes. The performance validation of the BCEHGS-RP model is experimented with under diverse number of nodes.

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“…A popular network topology management technique utilized for tackling the problem is named the clustering technique, whereby the node is grouped into various clusters, and cluster heads (CHs) are chosen [6]. During the earlier model, the distributed cluster was presented where; each sensor node (SN) determines function and transmission [7].…”

Section: Introductionmentioning

confidence: 99%

Quantum Cat Swarm Optimization Based Clustering with Intrusion Detection Technique for Future Internet of Things Environment

Basheri¹,

Ragab²

2023

Computer Systems Science and Engineering

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The Internet of Things (IoT) is one of the emergent technologies with advanced developments in several applications like creating smart environments, enabling Industry 4.0, etc. As IoT devices operate via an inbuilt and limited power supply, the effective utilization of available energy plays a vital role in designing the IoT environment. At the same time, the communication of IoT devices in wireless mediums poses security as a challenging issue. Recently, intrusion detection systems (IDS) have paved the way to detect the presence of intrusions in the IoT environment. With this motivation, this article introduces a novel Quantum Cat Swarm Optimization based Clustering with Intrusion Detection Technique (QCSOBC-IDT) for IoT environment. The QCSOBC-IDT model aims to achieve energy efficiency by clustering the nodes and security by intrusion detection. Primarily, the QCSOBC-IDT model presents a new QCSO algorithm for effectively choosing cluster heads (CHs) and organizing a set of clusters in the IoT environment. Besides, the QCSO algorithm computes a fitness function involving four parameters, namely energy efficiency, inter-cluster distance, intra-cluster distance, and node density. A harmony search algorithm (HSA) with a cascaded recurrent neural network (CRNN) model can be used for an effective intrusion detection process. The design of HSA assists in the optimal selection of hyperparameters related to the CRNN model. A detailed experimental analysis of the QCSOBC-IDT model ensured its promising efficiency compared to existing models.

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Artificial Intelligence–Based Energy‐Efficient Clustering and Routing in IoT‐Assisted Wireless Sensor Network

Cited by 8 publications

References 16 publications

Multicluster Analysis and Design of Hybrid Wireless Sensor Networks Using Solar Energy

Multicluster Analysis and Design of Hybrid Wireless Sensor Networks Using Solar Energy

Blockchain Driven Metaheuristic Route Planning in Secure Wireless Sensor Networks

Quantum Cat Swarm Optimization Based Clustering with Intrusion Detection Technique for Future Internet of Things Environment

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