Showing papers in "International Journal of Distributed Sensor Networks in 2020"
TL;DR: This review article is a decent analysis of imbalance issue for wireless sensor networks and other application domains, which will help the community to understand WHAT, WHY, and WHEN of imbalance in data and its remedies.
Abstract: Classification of imbalanced data is a vastly explored issue of the last and present decade and still keeps the same importance because data are an essential term today and it becomes crucial when ...
106 citations
TL;DR: An efficient model for EEG classification by considering feature extraction and selection and using differential evolution to choose appropriate features that will achieve the best performance of signal classification is presented.
Abstract: Wavelet family and differential evolution are proposed for categorization of epilepsy cases based on electroencephalogram (EEG) signals. Discrete wavelet transform is widely used in feature extract...
48 citations
ZTE1
TL;DR: The algorithm in this article can realize the functions of real-time data communication and information processing more efficiently, and has a significant role in promoting agricultural informatization and improving the level of agricultural modernization.
Abstract: With the wide application of Internet of things technology and era of large data in agriculture, smart agricultural design based on Internet of things technology can efficiently realize the functio...
38 citations
TL;DR: IFed was proposed—a novel federated learning framework that let electric provider who normally is adequate in computing resources to help Power Internet of Thing users, and the formal local differential privacy analysis and the experiments demonstrated that IFed can fulfill the privacy requirements for Power Internet Of Thing users.
Abstract: Nowadays, wireless sensor network technology is being increasingly popular which is applied to a wide range of Internet of Things. Especially, Power Internet of Things is an important and rapidly g...
37 citations
TL;DR: This work mainly focused on overhead view person tracking using Faster region convolutional neural network (Faster-RCNN) in combination with GOTURN architecture, which has been yielding outstanding tracking results in recent years.
Abstract: In video surveillance, person tracking is considered as challenging task. Numerous computer vision, machine and deep learning–based techniques have been developed in recent years. Majority of these...
37 citations
TL;DR: The presented improved particle swarm optimization–grey wolf optimization approach incorporates the benefits of both the clustering and routing processes which leads to maximum energy efficiency and network lifetime.
Abstract: Wireless sensor network is a hot research topic with massive applications in different domains. Generally, wireless sensor network comprises hundreds to thousands of sensor nodes, which communicate...
36 citations
TL;DR: The proposed mechanism is a three-tier clustering technique with implanted security mechanism to encounter malicious activities of sensor nodes and to slant them into blacklist, which outperforms most of its counterpart protocols in terms of network lifetime, network throughput, average energy consumption and packet latency.
Abstract: Internet of things grew swiftly and many services, software, sensors-embedded electronic devices and related protocols were developed and still in progress with full swing. Internet of things enabl...
30 citations
TL;DR: Compared with the algorithm of the fabric platform, the dynamic-reputation practical Byzantine fault tolerance algorithm improves the transaction processing speed and is suitable for the blockchain application in the energy field.
Abstract: The energy blockchain is a distributed Internet protocol for energy transactions between nodes in power systems. The consensus algorithm is the core component of the energy blockchain and has an es...
29 citations
TL;DR: A systematic review is carried out that captures the evolution of architectural designs and developments in wireless sensor network–based applications and delves into the relative pros and cons of various epochs in developments and delineates the future areas of research in wireless Sensor network design paradigm.
Abstract: Wireless sensor networks form the crux of a wide range of automated applications that are gaining popularity with every passing day. The journey of wireless sensor networks has seen simple sensory ...
29 citations
TL;DR: A scalable building information modeling–based cyber-physical platform for building performance monitoring to integrate heterogeneous data from different buildings and a scalable NoSQL database is established to store data in a cloud environment is presented.
Abstract: Building performance management requires massive data input; however, the relevant data are separated and heterogeneous; thus, it prevents a comprehensive building performance management. Building ...
26 citations
TL;DR: A novel chaos-based stochastic model is proposed by combining the characteristics of chaotic firefly algorithm with Kernel-based Naïve Bayes (KNB) algorithm for diagnosis of Parkinson’s disease at an early stage and could be used as a decision making tool by clinicians to diagnose patients.
Abstract: Parkinson’s disease is found as a progressive neurodegenerative condition which affects motor circuit by the loss of up to 70% of dopaminergic neurons. Thus, diagnosing the early stages of incidenc...
TL;DR: The joint use of openEHR and Semantic Sensor Network semantics for the achievement of interoperability at the semantic level and use of a machine-to-machine architecture for the definition of an interoperable Internet of Medical Things platform are proposed.
Abstract: The development of information and telecommunication technologies has given rise to new platforms for e-Health. However, some difficulties have been detected since each manufacturer implements its ...
TL;DR: A data security approach with less computational and response times based on a modified version of Diffie–Hellman, modified to secure it against attacks by generating a hash of each value that is transmitted over the network.
Abstract: In wireless sensor networks, the sensors transfer data through radio signals to a remote base station. Sensor nodes are used to sense environmental conditions such as temperature, strain, humidity,...
TL;DR: An unsupervised contextual anomaly detection method in Internet of Things through wireless sensor networks that accounts for both a dynamic anomaly status and correlations between anomalies based contextually on their spatial and temporal neighbors is proposed.
Abstract: With the widespread propagation of Internet of Things through wireless sensor networks, massive amounts of sensor data are being generated at an unprecedented rate, resulting in very large quantiti...
TL;DR: It was proved that the first-in first-out algorithm is not useful as a flow algorithm; however, it is regarded as suitable to be considered as the benchmark algorithm when compared with the other algorithms such as priority queue, custom queue, fair queuing, and weightedFair queuing algorithms.
Abstract: The best service mechanism in multimedia wireless sensor networks can be achieved based on the multimedia traffic flow by developing a proper simulation algorithm process model, to be a trustable i...
TL;DR: Results indicate that the credit assessment accuracy can be increased by applying an ensemble support vector machine model to solve the risk assessment of supply chain finance, combined with reducing noises method.
Abstract: Recently, support vector machines, a supervised learning algorithm, have been widely used in the scope of credit risk management. However, noise may increase the complexity of the algorithm buildin...
TL;DR: Simulation results show that, in the presence of the blackhole attacker, carrier-sense multiple access with collision avoidance has a high packet loss ratio and low network throughput as compared to the proposed preamble time-division multiple access.
Abstract: Mobile ad hoc networks are the “spontaneous networks” which create a temporary network in any place and any time without using any extra fixed radio device of a full infrastructure network. Each de...
TL;DR: This article conducts a comprehensive survey on non-terrestrial Internet of Things technologies for Smart City, which is an important complement to terrestrial Internet of things.
Abstract: Smart City Internet of Things will become a fundamental infrastructure to support massive machine-type communications between the widely deployed sensors serving big cities. Since there exists many...
TL;DR: The proposed routing protocol adaptively tunes the height and opening of the cone based on the network structure to effectively improve the performance of the network and significantly reduces energy tax, end-to-end delay, and packet delivery ratio.
Abstract: In the recent past, a significant increase has been observed in the use of underwater wireless sensor networks for aquatic applications. However, underwater wireless sensor networks face several ch...
TL;DR: Using the proposed method, specific sections of encrypted images can be decrypted and recognized before decryption of the entire information, which addresses the problems besetting traditional privacy masking and image encryption methods.
Abstract: Concomitant with advances in technology, the number of systems and devices that utilize image data has increased. Nowadays, image processing devices incorporated into systems, such as the Internet ...
TL;DR: A lifetime-enhancing cooperative data gathering and relaying algorithm that makes full use of dedicated relay cooperative multi-hop communication with network coding mechanisms to achieve reduced data propagation cost from the various cluster sections to the central base station is proposed.
Abstract: Despite unique energy-saving dispositions of cluster-based routing protocols, clustered wireless sensor networks with static sinks typically have problems of unbalanced energy consumptions, as the ...
TL;DR: This article proposes a novel secure data aggregation solution based on autoregressive integrated moving average model, a time series analysis technique, to prevent private data from being learned by adversaries and achieves better security, lower computation and communication costs, and better flexibility.
Abstract: Nodes in a wireless sensor network are normally constrained by hardware and environmental conditions and face challenges of reduced computing capabilities and system security vulnerabilities. This ...
TL;DR: Three novel systems for wireless sensor networks based on Alamouti decoding were investigated and then compared, and simulation results confirm that the proposed multiple-input multiple-output and multiple- input single-output orthogonal chirp division multiplexing systems outperform the conventional multiple- Input multiple- inputs/multiple-input single-input orthogona frequency division multipleXing systems.
Abstract: In this article, three novel systems for wireless sensor networks based on Alamouti decoding were investigated and then compared, which are Alamouti space–time block coding multiple-input single-ou
TL;DR: A Flask-based framework through Raspberry Pi is proposed for interoperability among the low-cost ESP8266 robots encouraging data availability of the current state of a plant with other robots to emphasize the monitoring of green houses in a well-organized way.
Abstract: Nowadays, smart farming involves the integration of advanced technologies that incorporate low-cost robots to meet the required knowledge and maintain the health of plants in farming. Technologies ...
TL;DR: The results show that Accelerator Depth, Speed, Distance to the Center of the Lane, Acceleration, Engine Revolution, Brake Depth, and Steering Angle have important influences on identifying the drivers’ states and can be used to detect drunk driving.
Abstract: A method for drunk driving detection using Feature Selection based on the Random Forest was proposed. First, driving behavior data were collected using a driving simulator at Beijing University of ...
TL;DR: This study comes up with a novel solution algorithm, which uses an evolutionary matrix in QUasi-Affine TRansformation Evolutionary Algorithm for the Pigeon-Inspired Optimization Algorithm that was designed using the homing behavior of pigeon.
Abstract: In modern times, swarm intelligence has played an increasingly important role in finding an optimal solution within a search range. This study comes up with a novel solution algorithm named QUasi-A...
TL;DR: A multi-objective scheduling algorithm based on genetic algorithm that targets makespan, monetary cost, and load balance is presented and achieves an improvement in makespan and reduces the cost with a well load balanced system.
Abstract: Recent developments in cloud computing have made it a powerful solution for executing large-scale scientific problems. The complexity of scientific workflows demands efficient utilization of cloud ...
TL;DR: This article proposes a relative distance–based unmanned aerial vehicle equipped with base station deployment method that realizes on-demand coverage and maintains a stable network topology under the influence of three relative distances by sensing the uncovered area of the ground, the neighbouring unmanned aerial vehicles and the location of the coverage boundary or obstacles.
Abstract: The unmanned aerial vehicle features with high flexibility and easy deployment. It could be used as an air base station and provide fast communication services for the ground users. It plays an imp...
TL;DR: A sensor-fusion-system tracking individual sheep position and detecting sheep standing/lying behaviour and the real-time detection was achieved and the system can increase the convenience for animal behaviour studies and monitoring of animal welfare in the production environment.
Abstract: The growing interest in precision livestock farming is prompted by a desire to understand the basic behavioural needs of the animals and optimize the contribution of each animal. The aim of this st ...
TL;DR: The main novelty of this work is multi-modal prediction algorithm for breast cancer prediction is proposed which encompasses the use of particle swarm optimization, non-dominating sorting and multi-classifier techniques, namely, k-nearest neighbour method, fast decision tree and kernel density estimation.
Abstract: Cancer is enlisted as the second leading reason for death across the world wherein almost one person out of six dies of cancer. Breast cancer is one of the most common forms of cancer predominant i...