Showing papers in "International Journal of Distributed Sensor Networks in 2019"
TL;DR: The paradigm of Smart Cities arises as a response to the goal of creating the city of the future, where the well-being and rights of their citizens are guaranteed, industry and urban planning is assessed from an environmental and sustainable viewpoint.
Abstract: The introduction of the Information and Communication Technologies throughout the last decades has created a trend of providing daily objects with smartness, aiming to make human life more comforta...
154 citations
TL;DR: An intelligent data gathering schema with data fusion called IDGS-DF, which adopts a neural network to conduct data fusion to improve network performance and can efficiently conserve energy and enhance the lifetime of the network.
Abstract: Numerous tiny sensors are restricted with energy for the wireless sensor networks since most of them are deployed in harsh environments, and thus it is impossible for battery re-change. Therefore, ...
152 citations
TL;DR: This article presents a secure and efficient smart home architecture, which incorporates the blockchain and the cloud computing technologies for a cumulated solution and discovered that blockchain is an efficient security solution for the future Internet of things network.
Abstract: The growing demand for human-independent comfortable lifestyle has emboldened the development of smart home. A typical keenly intellective home includes many Internet of things contrivances that en...
99 citations
TL;DR: A brief review of the trust models that have the potential to be implemented in Social Internet of vehicles and an overview of how trending concepts and emerging technologies like blockchain and fog computing can assist in developing a trust-based social Internet of Vehicles model for high-efficiency, decentralized architecture and dynamic nature of vehicular networks.
Abstract: The Internet of things is the next stage in the evolution of the Internet that is being materialized with the integration of billions of smart objects. The state-of-the-art communication technologi...
94 citations
TL;DR: A new divergence measure of BPA is proposed based on geometric mean of Deng relative entropy and the result shows that the proposed method outperforms other related methods, giving the highest belief value 98.98% to the correct target.
Abstract: Evidence theory is widely used in real applications such as target recognition because of its efficiency in evidential sensor data fusing. However, counter-intuitive results may be obtained in the ...
91 citations
TL;DR: The problem related to the reliability of path after transmitting the given amount of data with the service-level agreement cooperation in the computer communication network is addressed with bi-objective optimization of the quickest path problem, which minimizes the transmission time and hybrid logarithmic reliability.
Abstract: This article addresses the problem related to the reliability of path after transmitting the given amount of data with the service-level agreement cooperation in the computer communication network....
68 citations
TL;DR: Constructing diverse artificial neural network–based building electric energy consumption forecasting models using different combinations of the two hyperparameters indicates that neural networks with scaled exponential linear units and five hidden layers exhibit better performance, on average than other forecasting models.
Abstract: Smart grids have recently attracted increasing attention because of their reliability, flexibility, sustainability, and efficiency. A typical smart grid consists of diverse components such as smart...
64 citations
TL;DR: Simulation results demonstrate that compared with energy-aware routing, BEER, Q-Routing, and MRL-SCSO, reinforcement-learning-based routing protocol optimizes the network lifetime in three aspects and improves the energy efficiency.
Abstract: In wireless sensor networks, optimizing the network lifetime is an important issue. Most of the existing works define network lifetime as the time when the first sensor node exhausts all of its ene...
51 citations
TL;DR: According to the experimental results, deep learning models obtain higher accuracy in traffic congestion prediction compared with conventional machine learning models.
Abstract: Since speed sensors are not as widely used as GPS devices, the traffic congestion level is predicted based on processed GPS trajectory data in this article. Hidden Markov model is used to match GPS...
48 citations
TL;DR: The existing negation of probability distribution is extended with Tsallis entropy and the application of negation in target recognition based on sensor fusion is discussed to further demonstrate the importance of Negation.
Abstract: Target recognition in uncertain environments is a hot issue. Fusion rules are used to combine the sensor reports from different sources. In this situation, obtaining more information to make correc...
42 citations
TL;DR: This work proposes a multi-hop Priority-based Congestion-avoidance Routing Protocol using IoT based heterogeneous sensors for energy efficiency in wireless body area networks and uses the data aggregation and filtration technique to reduce the network traffic load and energy consumption.
Abstract: A wireless body area network is a collection of Internet of Things–based wearable heterogeneous computing devices primarily used in healthcare monitoring applications. A lot of research is in proce...
TL;DR: A data dissemination scheme for emergency messages in vehicular networks, based on clustering and position-based broadcast techniques, is proposed, which indicates that the proposed scheme is promising as it outperforms existing techniques.
Abstract: With the advancement in communication technologies, Internet of vehicles presents a new set of opportunities to efficiently manage transportation problems using vehicle-to-vehicle communication. Ho...
TL;DR: An improved certificateless generalized signcryption scheme is proposed and a rigorous security proof of it is given and it is shown that the confidentiality of the improved scheme can be reduced to the computational Diffie–Hellman problem, and the unforgeability, the Elliptic Curve Discrete Logarithm problem.
Abstract: The mobile-health system, also known as the wireless body area network for remote patient monitoring, is a system used to remotely monitor the human body’s health status parameters in real time. Th...
TL;DR: This article identifies and discusses relevant attributes, requirements, and recommendations for communications systems to perform with a suitable quality of service during harsh environments and to reduce risks of communication failure in challenging conditions.
Abstract: The failure of communications systems may cause catastrophic damage to human life and economic activities as people are unable to communicate with each other in a timely manner and with a convenien...
TL;DR: The experimental results suggest that the proposed solution is more accurate in managing diabetes compared to other medical applications and applies semantic web ontology language for developing ontology-based model for diabetic patients to aid doctors in reaching an efficient diagnostic decision about the status of diabetes.
Abstract: Millions of adults have diabetes across the globe and the overall cost for managing diabetic patients has reached up to approximately 250 million. A major constraint in existing ontology-based syst...
TL;DR: Based on average weighted and geometric weighted and cosine similarity function in neutrosophic cubic sets, a multiple attribute group decision-making method is developed.
Abstract: This article introduces the concept of Heronian mean operators, geometric Heronian mean operators, neutrosophic cubic number–improved generalized weighted Heronian mean operators, neutrosophic cubi...
TL;DR: An efficient and secure heterogeneous scheme for body sensor networks is proposed, in which biosensor nodes use a certificate-less cryptography environment to resolve the key escrow and certificate-management problems, while MS uses a public key infrastructure environment to enhance the scalability of the networks.
Abstract: In body sensor networks, both wearable and implantable biosensors are deployed in a patient body to monitor and collect patient health record information. The health record information is then tran...
TL;DR: This work reviews recent simulated approaches and real-world applications of multiagent systems in wireless sensor networks, in which a set of common factors about the things that have been studied are extracted and compared to analyze the performance of mobile agent–based systems in the wireless sensor Networks.
Abstract: Nowadays, the efficiency of multiagent systems in wireless sensor networks prompts the researchers to use these emerging mobile software packets in different simulated approaches or real-world appl...
TL;DR: The result shows that ( s 2 , 0.1897) is the biggest belief degree.
Abstract: Nuclear safeguards evaluation is a complicated issue with many missing values and uncertainties. By invoking Dempster–Shafer theory of evidence, the missing values are assigned to a subset of a set...
TL;DR: This article introduces mobile edge computing technology to vehicular ad hoc network and proposes a novel multi-objective vehicular edge computing task scheduling algorithm which jointly optimizes the allocation of communication and computing resources.
Abstract: The emergence of computation-intensive vehicle applications poses a significant challenge to the limited computation capacity of on-board equipments. Mobile edge computing has been recognized as a ...
TL;DR: In this article, a linguistic neutrosophic multiset is first proposed to handle the multiplicity information, which is an expanding of neutrosphic mult iset, and two Heronian mean operators are proposed to aggregate the linguistic neutromophicMultiset.
Abstract: A valid aggregation operator can reflect the decision result more clearly and make the decision effect more correctly. In this article, a linguistic neutrosophic multiset is first proposed to handl...
TL;DR: This study proposes a machine-learning-based hardware-Trojan detection method at the gate level that can obtain 89.84% average Recall, 86.75% average F-measure, and 99.83% average Accuracy, which is the best detection result among existing machine-learned hardware- Trojan detection methods.
Abstract: With the development of the Internet of Things, smart devices are widely used. Hardware security is one key issue in the security of the Internet of Things. As the core component of the hardware, t...
TL;DR: A novel framework to collect trajectory data and infer travel modes by making a great deal of effort is proposed and a new perspective in understanding travel mode detection and other related issues in Global Positioning System travel surveys, including trip purpose detection is provided.
Abstract: In the last decades, studies on travel mode detection from location data have been increasing exponentially. However, these studies have struggled with three limitations: data collection-, feature ...
TL;DR: A convolutional neural network augmented with multiple word-embedding architectures is used as a text classifier for the pre-processing of the input textual data and an event detection model using a recurrent neural network is employed to learn time series data features by extracting temporal information.
Abstract: We proposed an approach for temporal event detection using deep learning and multi-embedding on a set of text data from social media. First, a convolutional neural network augmented with multiple w...
TL;DR: Compared with traditional region search methods, such as region-based convolutional neural network and newest feature extraction frameworks, the proposed methods show better robustness with complex context semantic information and backgrounds.
Abstract: Currently, big data is a new and hot issue. Particularly, the rapid growth of the Internet of Things causes a sharp growth of data. Enormous amounts of networking sensors are continuously collectin...
TL;DR: Methods of searching the wilderness for a person using beacon signals from a mobile phone for two situations: when the distance to the source of emergency signals is unknown and when thedistance is known are provided.
Abstract: The success of the wilderness search and rescue missions is highly dependent on the time required to search for the lost person. The use of unmanned aerial systems may enhance search and rescue mis...
TL;DR: A secure distributed message-passing framework that does not require a centralized server, and it rates the credibility of message source using blockchain technology is proposed, and the messages in the proposed system are forwarded through dedicated short-range communication protocol.
Abstract: Due to exponential growth in the daily usage of vehicles, the traffic congestion and roadside accidents are increasing day by day. The communication among vehicles is critical to avoid the emergenc...
TL;DR: An energy-efficient routing protocol which adopts unequal clustering technology to solve the hot spots problem and proposes double cluster head strategy to reduce the energy consumption of head nodes in the clusters is proposed.
Abstract: Wireless sensor networks have drawn tremendous attentions from all fields because of their wide application. Maximizing network lifetime is one of the main problems in wireless sensor networks. Thi...
TL;DR: A novel intelligent Convolutional Neural Network based three folded framework that segments the input movie into shots, detects objects in the segmented shots and performs object-based shots matching for detecting scene boundaries.
Abstract: Movie data has a prominent role in the exponential growth of multimedia data over the Internet, and its analysis has become a hot topic with computer vision. The initial step towards movie analysis...
TL;DR: Simulation and numerical results showed that the energy harvesting–based incremental inter–wireless body sensor network cooperation provided superior performance over the energy harvested–based dual-hop cooperation and energy harvesting-based inter– wireless body sensors network cooperation.
Abstract: In today’s healthcare environment, the Internet of Things technology provides suitability among physicians and patients, as it is valuable in numerous medicinal fields. Wireless body sensor network...