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Trust-based clustering and routing in WSNs using DST-WOA
Wireless sensor networks (WSNs) are increasingly being used in a variety of applications, such as smart healthcare systems and the Internet of Things...
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WSNs Applications
WSNs are infiltrating the environment in its wide sense, indoors and outdoors, in the human body, in unapproachable emplacements; they have found...
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Fast aggregation method of WSNs dynamic data based on micro-cluster evolutionary learning
In order to completely restore WSNs data and improve the quality of data aggregation, a fast aggregation method of WSNs dynamic data based on...
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Research on UAV-Aided WSNs Node Positioning Task Planning in Field Environment
In this paper, we present a strategy for node positioning in wireless sensor networks (WSNs) that uses unmanned aerial vehicles (UAVs) as auxiliary...
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DTMS: A Dual Trust-Based Multi-level Sybil Attack Detection Approach in WSNs
Sensor networks have emerged as a promising technology for collecting data and capturing information about the physical world. However, these...
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Load balanced and optimal clustering in WSNs using grey wolf optimizer
A network of wireless sensors (WSN) is an outstanding technology that can aid in the various applications. Batteries run the sensor nodes those are...
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Protocol Stack of WSNs
Several considerations must be taken when develo** protocols for wireless sensor networks. Traditional thinking where the focus is on quality of...
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MS-EAR: A mobile sink based energy aware routing technique for SDN enabled WSNs
The paradigm of sensor networks involves connecting wireless electronic devices through small sensor nodes to gather and sense surrounding...
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Energy Efficient Data Aggregation with Dynamic Mobile Sink-Based Path Optimization in Large Scale WSNs Using Reinforcement Learning
During the past decades, Wireless Sensor Networks (WSNs) have become extensively used due to their prominent number of applications. The use of WSNs...
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Testbeds for WSNs
Testbeds are representative of WSNs, they support the diversity of their hardware and software constituents, they are deployed in the same conditions...
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Extreme learning machine optimized by artificial cell swarm optimization for the data fusion modal in WSNs
Wireless Sensor Networks (WSNs) have gained substantial prominence in various applications, like healthcare, and surveillance due to its data...
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Applying an Improved Squirrel Search Algorithm (ISSA) for Clustering and Low-Energy Routing in Wireless Sensor Networks (WSNs)
Wireless sensor networks (WSNs) plays an important role in the advancement of the industrial 4.0/5.0 revolution, as they are integrated into IoT and...
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Lifetime Optimization of the LEACH Protocol in WSNs with Simulated Annealing Algorithm
The lifetime of a Wireless Sensor Network (WSN) is determined by its energy restriction. One of the conventional techniques used to maintain network...
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Cross-Layer Protocols for WSNs
Most of the proposed communication protocols exploiting the collaborative nature of WSNs and its correlation characteristics improve energy...
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Employing blockchain and IPFS in WSNs for malicious node detection and efficient data storage
The presence of the malicious internet of things (IoT) devices in wireless sensor networks (WSNs), in the underlying work, is identified using a...
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SBLDAR: A Link Score Based Delay Aware Routing for WSNs
The Wireless Sensor Network (WSN) is one of the emerging competences to have possible appliance on wide varieties including investigating about the...
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Transport Protocols for WSNs
Transport layer protocols in WSNs should support multiple applications, variable reliability, packet-loss recovery, and congestion control. A...
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A novel raccoon optimization algorithm with multi-objective clustering strategy based routing protocol for WSNs
Clustered wireless sensor networks (WSNs) are becoming a rapidly emerging technological field. Clustering helps create scalable and robust network...
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Energy-Aware MAX-LEACH Routing Protocol for Homogeneous and Heterogeneous WSNs
The Energy-Efficient wireless sensor network is needed in the present-day Scenario. The main problem in the area of WSN is energy consumption or low...
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Throughput and Lifetime Enhancement of WSNs Using Transmission Power Control and Q-learning
In this paper, a Q-learning algorithm is proposed to improve the performance of the routing in the Wireless Sensor Networks (WSNs). We have also...
