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Publications (39)
Detection of unknown attacks is challenging due to the lack of exemplary attack vectors. However, previously unknown attacks are a significant danger for systems due to a lack of tools for protecting systems against them, especially in fast-evolving Internet of Things (IoT) technology. The most widely used approach for malicious behaviour of the mo...
Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as IoT technologies are literally connecting everything into networks. In 2020 more than 25% of identified attacks in enterprises will involve the IoT. Hence, it is very important to treat IoT security as a mandatory design factor. Moreover the deployed IoT system should...
Recent developments in sensor technology, wearable computing , Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human's health and activities. Health monitoring systems involve processing and analysis of data retrieved from smartphones, smart watches, smart bracelets,...
The emergence of smart city initiatives in many areas of the world has led to rapid development and proliferation of Internet of Things (IoT) technologies. Successful deployments of IoT have resulted in the military looking at the impacts and benefits of IoT, both for directly leveraging IoT within the military environment as well as to interface w...
Using mobile robots or unmanned vehicles to assist optimal wireless sensors deployment in a working space can significantly enhance the capability to investigate unknown environments. This paper addresses the issues of the application of numerical optimization and computer simulation techniques to on-line calculation of a wireless sensor network to...
The goal of the study was applying machine learning methods to create rules for prediction of the surface scaling resistance of concrete modified with high-calcium fly ash. To determine the scaling durability the Boras method, according to European Standard procedure (PKN- CEN/TS 12390-9:2007), was used. The results of numeral experiments were util...
The aim of the study was to generate rules for the prediction of the chloride resistance of concrete modified with high calcium fly ash using machine learning methods. The rapid chloride permeability test, according to the Nordtest Method Build 492, was used for determining the chloride ions’ penetration in concrete containing high calcium fly ash...
The paper discusses the threats to networks of resource-limited things such as wireless sensors and the dif-ferent mechanisms used to deal with them. A novel approach to threat detection is proposed. MOTHON is a movement-assisted threat detection system using mobility to enhance a global threat assessment and provide a separate physical secure chan...
High performance computing is required in a number of data-intensive domains. CPU and GPU clusters are one of the most progressive branches in a field of parallel computing and data processing nowadays. Cloud computing has recently emerged as one of the buzzwords in the ICT industry. It offers suitable abstractions to manage the complexity of large...
Devices that form a wireless sensor network (WSN) system are usually remotely deployed in large numbers in a sensing field. WSNs have enabled numerous applications, in which location awareness is usually required. Therefore, numerous localization systems are provided to assign geographic coordinates to each node in a network. In this paper, we desc...
In this paper we summarise the results of our research concerned with the development, implementation and evaluation of a software framework for wireless sensor networks (WSNs) localisation - high performance localisation system (HPLS). The system can be used to calculate positions of sensing devices (network nodes) in the deployment area, and to t...
An important part of the modern computer networks design is to develop novel technologies, architectures and control mechanisms for network devices enabling power saving by adapting network capacities to current traffic loads and user demands. We describe centralize and hierarchical control frameworks for reducing power consumption in backbone comp...
The paper treats the problem of localization in Wireless Sensor Network (WSN). In our work, we present and evaluate Wireless Sensor Network Localization System, which supports sensor node localization from data gathering from real-life deployments through modelling and applying different localization methods up to distributed computing in HPC envir...
The paper addresses issues associated with the application of mixed CPU and GPU processing to cryptography and cryptanalysis. The performance of new efficient OpenCL-based parallel implementations of selected commonly used cryptanalysis and cryptographic algorithms executed on the GPU devices is compared with implementations running on the CPU proc...
The objective of this investigation was to develop rules for automatic assessment of concrete quality by using selected artificial intelligence methods based on machine learning. The range of tested materials included concrete containing nonstandard waste material-the solid residue from coal combustion in circulating fluidized bed combustion boiler...
The paper treats the problem of localization in Wireless Sensor Network (WSN). In our work, we present and evaluate Wireless Sensor Network Localization System, which offers network models generator along with different localization methods including Trilateration & Simulated Annealing algorithm. The paper describes extension of WSN Localization Sy...
Wireless sensor networks (WSNs) are autonomous ad hoc networks designed and developed for potential applications in monitoring, surveillance, security, etc. The sensor devices that are battery powered should have lifetime of months or years. Therefore, energy efficiency is a crucial design challenge in WSN. In this paper the energy efficient commun...
This paper addresses issues associated with distributed computing systems andthe application of mixed GPU&CPU technology to data encryption and decryptionalgorithms. We describe a heterogenous cluster HGCC formed by twotypes of nodes: Intel processor with NVIDIA graphics processing unit and AMDprocessor with AMD graphics processing unit (formerly A...
The main advantage of a distributed computing system over standalone computer is an ability to share the workload between cores, processors and computers. In our paper we present a hybrid cluster system - a novel computing architecture with multi-core CPUs working together with many-core GPUs. It integrates two types of CPU, i.e., Intel and AMD pro...
Many applications of wireless sensor networks (WSN) require information about the geographic location of each sensor node. Devices that form WSN are expected to be remotely deployed in large numbers in a sensing field, and to self-organize to perform sensing and acting task. The goal of localization is to assign geographic coordinates to each devic...
The paper treats the problem of localization in Wireless Sensor Network (WSN). In our work, we present and evaluate the localization system that can be used to calculate the geographical positions of network nodes. The search for the accurate positions of nodes is performed using a signal strength measurements and known positions of a set of select...
The paper is concerned with parallel global optimization techniques that can be applied to solve complex optimization problems, and are widely used in applied science and in engineering. We describe an integrated software platform EPOCS (Environment for Parallel Optimization of Complex Systems) that provides the framework and tools which allow to s...
The paper describes the design and performance of a novel technique that can be used to calculate the geographic locations of nodes that form wireless sensor network system (WSN). Location awareness is required for many WSN applications, but it is often too expensive to include GPS adapter in each sensor node. Hence, localization systems are provid...
This paper addresses issues associated with the global optimization algorithms, which are methods to find op-timal solutions for given problems. It focuses on an integrated software environment – global optimization object-oriented li-brary (GOOL), which provides the graphical user interface together with the library of solvers for convex and nonco...
In the paper two algorithms of the machine learning are used in order to determine the durability of concrete modified with circulating fluidized bed combustion (CFBC) ash from hard coal and from brown coal. The rapid chloride permeability test, according to Nordtest Method BUILD 492, was used for determining the chloride ions penetration in concre...
The major challenge in designing wireless sen-sor networks (WSNs) is to find tradeoff between the desired and contrary requirements for the lifetime, coverage or cost while coping with the computation, energy and communica-tion constraints. This paper examines the optimal placement of nodes for a WSN. It is impossible to consider the deploy-ment of...
Optimization Schemes For Wireless Sensor Network Localization
Many applications of wireless sensor networks (WSN) require information about the geographical location of each sensor node. Self-organization and localization capabilities are one of the most important requirements in sensor networks. This paper provides an overview of centralized dista...
Wireless sensor network localization is a complex problem that can be solved using different types of methods and algorithms. Nowadays, it is a popular research topic. What becomes obvious is that there are several criteria which are essential when we consider wireless sensor networks. Our objective is to determine accurate estimates of nodes locat...
In this paper1 we describe a novel approach to sensor network localization, i.e., two-phase algorithms based on simulated annealing and genetic algorithm. The numeri- cal results presented and discussed in the final part of the paper show that these novel schemes give accurate and con- sistent location estimates of the nodes in the network. The per...
This paper addresses issues associated with reduction of memory usage for a semidefinite programming (SDP) relaxation based
method and its application to position estimation problem in ad-hoc wireless sensor networks. We describe two new CSDP solvers
(semidefinite programming in C) using two algorithms for Cholesky factorization implementing RFP an...
The paper 1 provides an overview of measurement techniques in sensor networks localization and optimization algorithms based on these measurements for estimation the physical location of nodes with unknown location. A novel localization methods, i.e., two phase algorithms based on simulated annealing and genetic algorithm are described. The numeric...
CRS (Controlled Random Search) algorithms for global optimization are considered. The main objective is to present the advantages of developing the parallel and distributed random search algorithms to search for the global solution. A practical example, application of parallel CRS2, CRS4, CRS6, CRSI algorithms and distributed CRS2 algorithm to calc...
Recently, we proposed a centralized distance-based technique TSA (Trilateration & Simulated Annealing) that uses a combination of the trilateration method, along with the simulated annealing optimization algorithm for performing localization of nodes in an ad hoc network with static nodes (Wireless Sensor Networks). Our location scheme depends on n...
