Showing papers in "International Journal of Parallel, Emergent and Distributed Systems in 2021"
TL;DR: A hybrid algorithm is proposed by combining footprint and privacy-preserving detection of abuses of pseudonyms (P2DAP) methods that acts better than the footprint algorithm when the number of vehicles increases and on the trajectory of the vehicle.
Abstract: Ad hoc networks are vulnerable to numerous attacks due to its infrastructure-less nature, one of these attacks is the Sybil attack. Sybil attack is a severe attack on vehicular ad hoc netwo...
20 citations
TL;DR: The PSCD and IPS CD algorithm and the IPSCD algorithm are introduced, which utilize the Particle Swarm Optimization (PSO) concept to deploy as few as possible wireless chargers with adjusted positions and antenna directions to fulfill the energy requirement of sensor nodes of a WRSN inside a cuboid with length L, width W and height H.
Abstract: In Wireless Rechargeable Sensor Networks (WRSNs), wireless chargers can recharge batteries of sensor nodes so that they can operate sustainably. Since wireless chargers are costly and have limited ...
12 citations
TL;DR: This paper proposed an automatic offloading method of appropriate target loop statements of applications as the first step in offloading to FPGAs, and evaluated the effectiveness of the proposed method by applied it to multiple applications.
Abstract: With Moore's law coming to an end, using hardware other than central processing units (CPUs), such as more energy efficient field-programmable gate arrays (FPGAs), has recently been increasing. How...
9 citations
TL;DR: The electrical synaptic transmission-based spiking neural P system (ESSNP) has been proposed to solve the fault location problem of distribution network with DGs and the fault diagnosis mode for the power outage section with ESSNP has been established.
Abstract: This paper proposed a new electrical synaptic transmission-based Spiking Neural P system (SNP system) based on SNP systems. Some new elements are added into the original definition of SNP systems, ...
7 citations
TL;DR: This paper improved upon this automatic GPU offloading method to expand its applicability to more applications and enhance offloading performance, and implemented the improved method to evaluate its effectiveness for multiple applications.
Abstract: With the slowing down of Moore's law, the use of hardware other than CPUs, such as graphics processing units (GPUs) or field-Programmable gate arrays (FPGAs), is increasing. However, when using het...
7 citations
TL;DR: The particle velocity is updated based on the combination of global optimisation, region equilibrium and compression factor to improve the searchability of the particle and optimisation performance of the improved PSO.
Abstract: A method for image segmentation based on improved hybrid particle swarm optimisation (PSO) is proposed. In view of the shortcoming that the traditional PSO algorithm is easy to fall into local opti...
7 citations
TL;DR: The usefulness of a swarming technique to address data ferrying in disconnected networks to provide delay-tolerant type communications is examined.
Abstract: Swarming and emergent behaviour techniques can offer simple control schemes for the organisation of many nodes, with little communications overhead and processing time. These mechanisms are robust against node losses, and are able to run on cheap, disposable platforms. This article examines the usefulness of a swarming technique to address data ferrying in disconnected networks to provide delay-tolerant type communications. Mathematical analysis of a pheromone-based ferrying approach reveals a robust solution to the round-robin ferrying problem. Simulation results from static and dynamic network topologies agree with the mathematical model and show encouraging results in coordinating data ferries in a disconnected environment.
6 citations
TL;DR: This paper proposed an initialisation method to select initial clustering centres for K-means algorithm and modified it and designed a Tissue-like P system to realise the new method.
Abstract: The K-means algorithm gets widely used due to its simplicity and effectiveness. But it is sensitive to the selection of initial cluster centres. In this paper, we proposed an initialisation method ...
6 citations
TL;DR: A new algorithm is introduced to generate local timed test sequences so as to describe the behaviour of the test at each port, and how to apply this approach in the case of MapReduce testing to identify faulty workers, in order to reschedule their tasks to a healthy worker.
Abstract: Over the last few years, there has been a rising trend towards the field of distributed testing where the implementation under test (IUT) has physical distributed ports. However, running several te...
6 citations
TL;DR: Whether data sampling techniques can handle the class imbalance problem and improve the performance of the predictive model for cross-project defect prediction (CPDP) and whether the results of CPDP after data sampling are comparable to within project defects prediction (WPDP).
Abstract: The presence of defect data related to different projects leads to cross-project defect prediction an open issue in the field of research in software engineering. In cross-project defect prediction...
5 citations
TL;DR: In this paper, the H-structure connectivity of a graph G is defined as the cardinality of a minimum set of subgraphs in G whose deletion disconnects G and every element in the set.
Abstract: Let H be a connected subgraph of a graph G. The H-structure connectivity κ(G;H) of G is the cardinality of a minimum set of subgraphs in G, whose deletion disconnects G and every element in the set...
TL;DR: This paper studies a common method for automatically offloading various language applications in not only C language but also Python and Java, and evaluates the effectiveness of the proposed method in multiple applications of various languages.
Abstract: Heterogeneous hardware other than a small-core central processing unit (CPU) is increasingly being used, such as a graphics processing unit (GPU), field-programmable gate array (FPGA) or many-core ...
TL;DR: This study proposes a method to enhance the UT reconstruction by using the nearest neighbour interpolation (MR-DBIM), specified by the graphical concurrent programming language of Sleptsov nets.
Abstract: The greatest advantage of scattering theory-based ultrasound tomography (UT) is its ability to investigate small structures. DBIM is the Distorted Born Iterative Method. The nearest neighbour inter...
TL;DR: Bacteria have been a source of inspiration for the design of evolutionary algorithms as discussed by the authors, and at the beginning of the twentieth century synthetic biology was born, a discipline whose goal is to design of...
Abstract: Bacteria have been a source of inspiration for the design of evolutionary algorithms. At the beginning of the twentieth century synthetic biology was born, a discipline whose goal is the design of ...
TL;DR: It is shown that another interesting family of Siromoney matrix languages is included in the family of array languages generated by PCAIDPS with two membranes.
Abstract: James et al have introduced a variant of P systems called parallel contextual array insertion deletion P system and studied some of its properties The family of array languages generated by this
TL;DR: A dynamic decision-making algorithm (DDMA) for deployment of sensors using self-organising map (SOM) such that the nodes will adjust their locations to uncovered area by failed sensor node in the changing sensing environment is presented.
Abstract: Wireless sensor networks (WSNs) are applicable in most of the domains of engineering Presently, Heterogeneous WSN (HWSN) is gaining more importance than homogeneous WSN One of the major challenge
TL;DR: 1,2-extra conditional diagnosability and conditionaldiagnosability of under the PMC model and the MM model are determined and DQcube has received much research interest recently.
Abstract: Fault diagnosis of systems is an important area of study in the design and maintenance of multiprocessor systems. In 2005, Lai et al. proposed a new measure for the fault diagnosis of systems, name...
TL;DR: The present article is focused on the application of Sleptsov net (SN) for solving system of linear algebraic equations with a tridiagonal matrix and implementation of basic arithmetic operations over these numbers because the implementation of the algorithm requires floating point operations.
Abstract: The present article is focused on the application of Sleptsov net (SN) for solving system of linear algebraic equations with a tridiagonal matrix. SN, which implements the double sweep algorithm for solving a system of linear equations with a tridiagonal matrix, is constructed. The work of the constructed network is considered when solving a specific example. The number of operations carried out by the net in performing computations has been calculated and the performance of the parallel double sweep method implemented by the net is compared with the sequential double sweep method. We also consider representation of integer and real numbers by a SN and implementation of basic arithmetic operations over these numbers because the implementation of the algorithm requires floating point operations. GRAPHICAL ABSTRACT
TL;DR: The PLA (Proposed Local Adjustment) model is based on eliminating flooding, preserving nodes battery life by selectively choosing forwarder node at each hop level, and handling route failures locally, eventually makes the network more robust and resilient.
Abstract: Mobile Ad hoc Networks (MANETs) is an infrastructure less and random mobility-based class of wireless networks with seamless possibilities of ‘on the fly’ communication through self-coordination am...
TL;DR: A methodology of training neural networks is presented with the loss function minimisation, based on a run of a pair of interacting Sleptsov nets, the first net implementing the neural network based on data flow approach, while the second net solves the optimisation task by adjusting the weights of the firstNet by the gradient descend method.
Abstract: Sleptsov nets are applied as a uniform language to specify models of unconventional computations and artificial intelligence systems. A technique for specification of neural networks, including mul...
TL;DR: A novel architecture for a MIN is proposed that operates via wormhole routing using a multi-lane equivalent-weighted fair queuing system, Associating the lane storage with each physical channel for movement of the flits allows for high levels of packet flow and makes the system more robust.
Abstract: Multistage interconnection networks (MINs) provide critical communication resources between network components with an attractive cost/performance relation. In this paper, a novel architecture for ...
TL;DR: The proposed model is able to capture a wider understanding of device behaviour than existing, state-of-the-art traffic models and has significantly higher accuracy in estimating the number of transmitted packets compared with the current models in the literature.
Abstract: Several traffic models for the Internet of Things (IoT) have been proposed in the literature. However, they can be considered as heuristic models since they only reflect the stochastic characteristic of the generated traffic. In this paper, we propose a model to represent the communication of IoT devices. The model was used to obtain the traffic generated by the devices. Therefore, the proposed model is able to capture a wider understanding of device behaviour than existing, state-of-the-art traffic models. The proposed model illustrates the behaviour of Machine-to-Machine uplink communication in a network with multiple-access limited information capacity shared channels. In this paper, we analysed the number of transmitted packets using the traffic model extracted from our proposed communication model and compared it with the state-of-the-art traffic models using simulations. The simulation results show that the proposed model has significantly higher accuracy in estimating the number of transmitted packets compared with the current models in the literature.
TL;DR: This paper proposes single-copy routing strategies for multicast and anycast based on the multi-hop delivery probabilities and shows that these schemes achieve a high delivery ratio, low delay, and low (or comparable) transmission cost compared to other group communication strategies.
Abstract: Graphical AbstractMulticast routing employs a dynamic tree branching technique that allows routing paths to be efficiently shared among multicast destinations. Anycast routing balances the trade-off between a short path to the closest, single group member and a longer path over which many other group members reside.
TL;DR: A service providing framework based on context-aware recommendation approach to improve the city's digital services according to citizen’s context and the backend as a service (BAAS) approach on cloud to enhance the scalability of the system in large workloads is proposed.
Abstract: With the innovation of new Information and Communication Technologies and the needs of information and knowledge sharing among the city, a smart city system aims to improve it's citizens life quali...
TL;DR: The article focuses on the transformation of the behavioural UML diagrams modelled by the authors, which reflect the emergent manifestations of the life cycles of working with graph databases (GDB), to models in the form of Petri nets.
Abstract: The article focuses on the transformation of the behavioural UML diagrams modelled by the authors, which reflect the emergent manifestations of the life cycles of working with graph databases (GDB)...
TL;DR: This article underline and compare different quantum and deterministic models of computation by means of a probabilistic point of view, showing that generally PTM does not fit for them, also if in some particular cases it fits.
Abstract: In this article, we underline and compare different quantum and deterministic models of computation by means of a probabilistic point of view. The main models used for this are deterministic, proba...
TL;DR: This paper uses technical scalability metrics that address both volume and quality scaling, inspired by earlier technical metrics of elasticity, in order to enable the scalability analysis from technical and production-driven perspectives.
Abstract: Measuring and testing the scalability and performance of cloud-based software services is critical for the delivery of such services, and the development of cloud computing. There are three interco...
TL;DR: The outcome of the proposed algorithm is a complete painting of an area without any repetition and collision.
Abstract: This article studies the problem of painting of a rectangular region cluttered with horizontal obstacles, by a swarm of mobile robots. Initially, the robots are deployed randomly within the target ...