Showing papers in "International Journal of Distributed Sensor Networks in 2017"
TL;DR: An analysis and reports experimental validation of the various performance metrics of the LoRa low-power wide-area network technology, which shows that at around 40 km/h, the communication performance gets worse, and it is expected that communication link is more reliable when lower spreading factors are used.
Abstract: The article provides an analysis and reports experimental validation of the various performance metrics of the LoRa low-power wide-area network technology. The LoRa modulation is based on chirp spr...
273 citations
TL;DR: A systematic analysis of distributed denial-of-service attacks including motivations and evolution, analysis of different attacks so far, protection techniques and mitigation techniques, and possible limitations and challenges of existing research are provided.
Abstract: Distributed denial-of-service is one kind of the most highlighted and most important attacks of today’s cyberworld. With simple but extremely powerful attack mechanisms, it introduces an immense th...
199 citations
TL;DR: This article presents a classification, review, challenges, and future perspectives to implement a traffic management system that addresses the problem of congestion in cities.
Abstract: In cities, where the number of vehicles continuously increases faster than the available traffic infrastructure to support them, congestion is a difficult issue to deal with and it becomes even worse in case of car accidents. This problem affects many aspects of the modern society, including economic development, traffic accidents, increase in greenhouse emissions, time spent, and health damages. In this context, modern societies can rely on traffic management system to minimize traffic congestion and its negative effects. Traffic management systems are composed of a set of application and management tools to improve the overall traffic efficiency and safety of the transportation systems. Furthermore, to overcome such issue, traffic management system gathers information from heterogeneous sources, exploits such information to identify hazards that may potentially degrade the traffic efficiency, and then provides services to control them. With this question in mind, this article presents a classification, ...
127 citations
TL;DR: The existing mobility models are listed and guidance is provided to understand whether they could be actually adopted depending on the specific flying ad-hoc network application scenarios, while discussing their advantages and disadvantages.
Abstract: Flying ad-hoc networks are becoming a promising solution for different application scenarios involving unmanned aerial vehicles, like urban surveillance or search and rescue missions. However, such...
125 citations
TL;DR: An efficient task reassignment strategy based on the critical path of the directed acyclic graph modeling the applications is proposed to refine the output schedules of the Cost-Makespan aware Scheduling algorithm to satisfy the user-defined deadline constraints or quality of service of the system.
Abstract: The rapid development of Internet of Things applications, along with the limitations of cloud computing due mainly to the far distance between Internet of Thing devices and cloud-based platform, ha...
114 citations
TL;DR: A two-stage continuous hidden Markov model framework, which also takes advantage of the innate hierarchical structure of basic activities, which effectively reduces feature computation overhead, but also allows for varying number of states and iterations.
Abstract: Human activity recognition has been gaining more and more attention from researchers in recent years, particularly with the use of widespread and commercially available devices such as smartphones....
81 citations
TL;DR: A coarse-to-fine clustering method based on a combination of global feature and local feature is proposed to cluster near-duplicate images and adopts PageRank algorithm to analyze the contextual relevance among images to select and reserve seed image and remove the others.
Abstract: Currently, a huge amount of visual data such as digital images and videos have been collected by visual sensor nodes, that is, camera nodes, and distributed on visual sensor networks. Among the vis...
71 citations
TL;DR: In this article, an efficient location-based conditional privacy-preserving authentication scheme without the bilinear pairing and tamper-proof device is proposed and markedly decreases the computation costs of message signing and message verification phase, while satisfies all security requirements of vehicle ad hoc networks and provides conditional Privacy-Preserving.
Abstract: Due to the real-time requirement of message in vehicle ad hoc networks, it is a challenge to design an authentication for vehicle ad hoc networks to achieve security, efficiency, and conditional pr...
47 citations
TL;DR: Current traffic management systems are reviewed to analyze the role and significance of vehicular cloud computing in road traffic management and potential future challenges and emerging technologies, such as the Internet of vehicles and its incorporation in traffic congestion control, are discussed.
Abstract: Vehicular cloud computing is envisioned to deliver services that provide traffic safety and efficiency to vehicles. Vehicular cloud computing has great potential to change the contemporary vehicula...
41 citations
TL;DR: This article proposes a hierarchical optimization principle initialized by k* seeds to reduce the risk of random seeds selecting, and proposes a strategy named “cluster pruning strategy” to improve efficiency of k-means.
Abstract: K-means plays an important role in different fields of data mining. However, k-means often becomes sensitive due to its random seeds selecting. Motivated by this, this article proposes an optimized...
40 citations
TL;DR: A novel service selection approach “Time–Location–Frequency”–aware Service Selection Approach is put forward and validated through a set of experiments deployed on a real service quality data set WS-DREAM, it is validated that the feasibility of the proposal is validated.
Abstract: The advertised quality of an Internet of things service is not always trustable due to the exaggerated quality propagation and dynamic network environment. Therefore, it is more trustable to evalua...
TL;DR: A new parallelization model and three parallel processing strategies are proposed for distributed complex event processing systems to enable the processing load for the overlap between windows of a batch induced by each input event to be shared by the downstream machines to avoid events that may result in wrong decisions.
Abstract: Sensor network–based application has gained increasing attention where data streams gathered from distributed sensors need to be processed and analyzed with timely responses. Distributed complex ev...
TL;DR: The performance indicates that the fall prediction algorithm by studying human biomechanics can predict a fall and provide a certain amount of time before the elder injuring (hitting the floor), and the technical basis and data analytics approach for the fall protection are provided.
Abstract: The fall is one of the most important research fields of solitary elder healthcare at home based on Internet of Things technology. Current studies mainly focus on the fall detection, which helps me...
TL;DR: An improved method on the basis of support vector data description is proposed, which reduces the computational complexity and is used for anomaly detection in energy-constraint wireless sensor networks.
Abstract: Anomaly detection is an important challenge in wireless sensor networks for some applications, which require efficient, accurate, and timely data analysis to facilitate critical decision making and...
TL;DR: Strong distinguishability of the models between the two groups directs the high possibility of motor impairment classification through biomechanical parameters in patients with Parkinson’s disease based on the clinical scale.
Abstract: The primary goal of this study was to investigate computerized assessment methods to classify motor dysfunctioning of patients with Parkinson’s disease on the clinical scale. In this proposed syste...
TL;DR: The industrial wireless sensor network (IWSN) is the next frontier in the Industrial Internet of Things (IIoT), which is able to help industrial organizations to gain competitive advantages in industrial manufacturing markets by increasing productivity, reducing the costs, developing new products and services, and deploying new business models.
Abstract: The industrial wireless sensor network (IWSN) is the next frontier in the Industrial Internet of Things (IIoT), which is able to help industrial organizations to gain competitive advantages in industrial manufacturing markets by increasing productivity, reducing the costs, developing new products and services, and deploying new business models The IWSN can bridge the gap between the existing industrial systems and cyber networks to offer both new challenges and opportunities for manufacturers
TL;DR: A large number of experimental results show that the proposed integrated collaborative filtering recommendation approach can effectively enhance the recommendation performance in terms of mean absolute error and root mean square error.
Abstract: Cyber-physical systems are becoming part of our daily life, and a large number of data are generated at such an unprecedented rate that it becomes larger than ever before in social cyber-physical systems. As a consequence, it is highly desired to process these big data so that meaningful knowledge can be extracted from those vast and diverse data. Based on those large-scale data, using collaborative filtering recommendation methods to recommend some valuable clients or products for those e-commerce websites or users is considered as an effective way. In this work, we present an integrated collaborative filtering recommendation approach that combines item ratings, user ratings, and social trust for making better recommendations. In contrast to previous collaborative filtering recommendation works, integrated collaborative filtering recommendation approach takes full advantage of the correlation between data and takes into consideration the similarity between items, the similarity between users and two kind...
TL;DR: The proposed Internet of things–based integrated information system is demonstrated to improve the effectiveness of monitoring processes and decision making in construction informatics applications and highlights the crucial importance of a systematic approach toward integrated information systems for effective information collection and structural health monitoring.
Abstract: The intelligent security monitoring of buildings and their surroundings has become increasingly crucial as the number of high-rise buildings increases. Building structural health monitoring and early warning technology are key components of building safety, the implementation of which remains challenging, and the Internet of things approach provides a new technical measure for addressing this challenge. This article presents a novel integrated information system that combines Internet of things, building information management, early warning system, and cloud services. Specifically, the system involves an intelligent data box with enhanced connectivity and exchangeability for accessing and integrating the data obtained from distributed heterogeneous sensing devices. An extensible markup language (XML)–based uniform data parsing model is proposed to abstract the various message formats of heterogeneous devices to ensure data integration. The proposed Internet of things–based integrated information system s...
TL;DR: A novel vision–based fall detection approach that analyzes an extracted human body using described human postures and achieves up to 95.2% fall detection accuracy on a public fall dataset.
Abstract: Accidental falls of elderly people are a major cause of fatal injuries, especially for those living alone. We present a novel vision–based fall detection approach that analyzes an extracted human body using described human postures. First, a human body extracted by a background subtraction technique is located by a minimum area-enclosing ellipse. Then, a normalized directional histogram is developed around the center of the ellipse to represent a human posture by multi-directional statistical analysis. After that, 12 static and 8 dynamic features are derived from the normalized directional histogram. These features are fed into a directed acyclic graph support vector machine to distinguish four closely related human postures (standing, crouching, lying, and sitting). A fall-like accident is detected by counting the occurrences of lying postures in a short temporal window. After conducting majority voting, a fall event is determined by immobility verification. From the experimental results, an overall accu...
TL;DR: Simulation results show that the life span of wireless sensor networks extended by the proposed energy-efficient clustering algorithm becomes longer than those extended by low-energy adaptive clustering hierarchy and clustered routing for selfish sensors when proper parameters are used.
Abstract: Clustering is a popular method to achieve energy efficiency and scalable performance in large-scale sensor networks. Many clustering algorithms were proposed to use energy efficiently, extend netwo...
TL;DR: To monitor the fields with square and circular geometries, three energy-efficient routing protocols are proposed for underwater wireless sensor networks to minimize the energy consumption of sparse regions, whereas sparsity search algorithm is proposed to find sparse regions and densitySearch algorithm is used to find dense regions of the network field.
Abstract: In this article, to monitor the fields with square and circular geometries, three energy-efficient routing protocols are proposed for underwater wireless sensor networks. First one is sparsity-awar...
TL;DR: Numerical simulations indicate that in contrast to single-strategy schemes, hybrid global-local load balancing routing scheme can more thoroughly eliminate congestion, and it performs better in measures such as packet loss rate, average queuing delay, traffic distribution, route oscillation, and communication overhead.
Abstract: Satellite networks provide complete connectivity and worldwide data transmission capability for constructing the Internet of Things. However, because of the varying Internet of Things traffic densi...
TL;DR: Support vector machine and artificial neural network are effective classification methods for detecting drowsy driving on different road segments and achieve the fastest classification time and the highest accuracy, respectively.
Abstract: This article comparatively analyzed the performance of K-nearest neighbor, support vector machine, and artificial neural network classifiers for driver drowsiness detection with different road geom
TL;DR: Two joint power and bandwidth allocation schemes are proposed to optimize power and timeslot allocation for beam-hopping user downlinks of the smart gateway system by decomposing the two-variable optimization problem into two single variable optimization problems.
Abstract: To improve the efficiency of on-board resources utilization, two joint power and bandwidth allocation schemes are proposed to optimize power and timeslot allocation for beam-hopping user downlinks of the smart gateway system By decomposing the two-variable optimization problem into two single variable optimization problems, the joint optimization problem is solved effectively Moreover, two novel algorithms are proposed to solve the two subproblems Extensive simulation results demonstrate that the efficiency of resource utilization can be effectively improved with the joint power and bandwidth allocation schemes in contrast with conventional allocation scheme
TL;DR: A lightweight authentication and key agreement scheme is proposed which provides mutual authentication, key agreement, key refreshment, and multicast mechanism which can prevent various attacks in advanced metering infrastructure.
Abstract: Smart grid is a modernized electrical grid. It is used to collect information about behaviors of suppliers and consumers and improve the efficiency, reliability, and economics of electricity. Recen...
TL;DR: The review shows that most of the algorithms used one parameter to find the optimal number of mobile agents in multi-agent itinerary planning without utilizing other parameters and did not take into account the security of the data gathered by the mobile agent.
Abstract: Recently, wireless sensor networks have employed the concept of mobile agent to reduce energy consumption and obtain effective data gathering. Typically, in data gathering based on mobile agent, it is an important and essential step to find out the optimal itinerary planning for the mobile agent. However, single-agent itinerary planning suffers from two primary disadvantages: task delay and large size of mobile agent as the scale of the network is expanded. Thus, using multi-agent itinerary planning overcomes the drawbacks of single-agent itinerary planning. Despite the advantages of multi-agent itinerary planning, finding the optimal number of distributed mobile agents, source nodes grouping, and optimal itinerary of each mobile agent for simultaneous data gathering are still regarded as critical issues in wireless sensor network. Therefore, in this article, the existing algorithms that have been identified in the literature to address the above issues are reviewed. The review shows that most of the algo...
TL;DR: A comparative analysis of received strength signal intensity levels, calculation of path loss with “log-normal shadowing” and free-space path loss models, and measuring packet loss for different transmission, distances and environments with respect to an “Arduino Mega” board and radio modules from the DIGI Company are conducted.
Abstract: Today, through the monitoring of agronomic variables, the wireless sensor networks are playing an increasingly important role in precision agriculture. Among the emerging technologies used to devel...
TL;DR: Using fingerprinting as a primary data collection technique, this work compared positioning and transaction data before and after critical store layout optimization decisions in order to identify which customer movement patterns generated the highest sales.
Abstract: Indoor positioning systems have attracted considerable attention from practitioners and firms seeking to optimize the consumer shopping experience with the goal of attaining increased revenue and p...
TL;DR: This article proposes a cooperative framework for unmanned aerial vehicle–wireless sensor network, which is composed of sensor nodes, fixed-group leaders, and a unmanned Aerial vehicle-Sink, in which a three-layer hierarchical network is formed.
Abstract: Wireless sensor networks have made great progress in recent years in every aspect of our life. To extend their range of application and provide a further effective option for remote surveillance, u...
TL;DR: A software-defined network–based solution is proposed to build the architecture of underwater acoustic sensor networks in big data to maximize the capacity, reduce the management complexity, and provide critical technical support for the high-performance underwateroustic sensor networks.
Abstract: The application based on big data is an important development trend of underwater acoustic sensor networks. However, traditional underwater acoustic sensor networks rely on the hardware infrastruct...