Top Research Papers on Wireless Sensor Networks

An Intelligent Clustering approach for ITS (ICITS) is proposed which selects CHs based on a hybrid optimization method called GABAT that integrates the strengths of Genetic Algorithm (GA) and BAT Al algorithm (BA) that is targeted primarily to road transport in military areas.

Introduction to Wireless Sensor Networks Applications and Motivation Network Performance Objectives Contributions of this Book Organization of this Book The Development of Wireless Sensor Networks Early Wireless Networks Wireless Data Networks Wireless Sensor and Related Networks Conclusion The Physical Layer Some Physical Layer Examples A Practical Physical Layer for Wireless Sensor Networks Simulations and Results Conclusion The Data Link Layer Medium Access Control Techniques The Mediation Device System Analysis and Simulation Conclusion The Network Layer Some Network Design Examples A Wire...

WIRELESS SENSOR NETWORKS: ARCHITECTURES AND PROTOCOLS

As Wireless Sensor Networks (WSNs) and Internet of Things (IoTs) applications evolve, the need for robust protocols, capable to guarantee extended lifetime and high throughput, increases. Mobility of devices either in terms of mobile nodes or mobile sinks is a promising solution that can assist, for example, topology control and congestion mitigation. Such factors significantly contribute to the extension of the lifetime and the throughput of wireless ad-hoc networks. In this work we review and classify algorithms that introduce the characteristic of mobility in WSNs. We consider WSNs to be bo...

This study gives a simple introduction to WSNs architecture, potential topologies and measurement of physical parameters with crossbow tool.

The routing protocols are characterized into three main categories; localization-based, localization-free and cooperative schemes and the performance of these protocols are discussed with respect to various network parameters such as energy consumption, network lifetime, delay, reliability, and communication overheads.

The purpose of this article is to provide an up-to-date presentation of both traditional and most recent applications of Wireless Sensor Networks to enable the comprehension of this scientific area and facilitate the perception of novel applications.

This article presents a review of underwater routing protocols for UWSNs, and classify the existing underwater routing Protocols into three categories: energy-based, data- based, and geographic information-based protocols.

The use of WSN technology to control and manage irrigation systems is an ideal solution to ensure the efficient and rational use of water and thus contribute to reducing the severity of the global water crisis.

In this review, recent developments of ML techniques for WSNs are presented with much emphasis on DL techniques, and it is found that large training time and large dataset to get acceptable performance are accompanied with large energy consumption which is not favorable for resource-restrained W SNs.

The survey identifies often challenges and various significant issues that still essential to be addressed to develop a cost effective, efficient, long‐lasting, and almost maintenance‐free energy harvesting systems for WSNs along with trail to their possible solutions for future perspectives.

This work is intended to provide an introduction to EH technologies in terms of their general working principle, application potential, and other implementation considerations with the aim of accelerating the development of sustainable WSN applications in industry.

This paper has compared the performance of two nature-inspired optimization algorithms for getting optimal coverage in WSNs and observed that the optimal coverage is achieved at a lesser number of generations in LO as compared to IGA-BACA.

The LEACH-Fuzzy Clustering (LEACH-FC) protocol is proposed and the proposed algorithm has been found to be effective in balancing the energy load at each node thereby enhancing the reliability of WSN and outperforms other proposed algorithms for improving network lifetime and energy consumption.

The review work presented is categorized into energy management and renewable energy harvesting techniques, which discusses various methods to save energy consumption of the energy harvesting sensor networks and the different energy harvesting mechanisms, especially their protocol design strategies for maximizing energy harvesting.

This work derives the closed form expression for the optimization problem, corresponding to the energy efficiency and converts it to a parametric form, using Dinkelbach method and solves the new problem using Karush-Kuhn-Tucker (KKT) conditions.

The possibility of benefiting from machine learning algorithms by reducing the security costs of wireless sensor networks in several domains is discussed, in addition to the challenges and proposed solutions to improving the ability of sensors to identify threats, attacks, risks, and malicious nodes through their ability to learn and self-development using machineLearning algorithms.

This paper has presented a systematic literature review of existing clone node detection schemes and provided the theoretical and analytical survey of the existing centralized and distributed schemes for the detection of clones in static WSNs with their drawbacks and challenges.

An improved version of grey wolf algorithm is proposed, that has been applied to improve the network lifetime optimization, and it is proven that the proposed metaheuristics performs better that other considered algorithms.

About 215 most important WSN clustering techniques are extracted, reviewed, categorized and classified based on clustering objectives and also the network properties such as mobility and heterogeneity, providing highly useful insights to the design of clustering Techniques in WSNs.