Jan Nikodem

Methods of Sensors Localization in Wireless Sensor Networks

In recent years there has been a growing interest in wireless sensor networks (WSN) applications. Such sensor networks can be used to control temperature, humidity, contamination, pollution etc. Self-organization and routing algorithms dedicated to wireless sensor networks usually assume that sensors absolute positions are unknown and all decisions are based on sensors own local information. This assumption makes wireless sensor networks more flexible and energy conserve because making decisions locally is faster and energy efficient. But sooner or later sensors positions have to be found (when sensor sends a message about some event we of course would like to know where this event takes place). In this paper we describe different solutions of finding transceivers positions in wireless networks and we discuss localization in wireless sensor networks. We propose to transfer localization function from base stations to every sensor. We evaluate presented method using simulations

Optimization algorithms of operative control in water distribution systems

This paper discusses a multilevel algorithm for finding optimal control in a static distribution system based on the idea of aggregation technique. We present mathematical model of this system with its elements as well as two basic algorithms. The first is a simulation algorithm of the pipeline network and the other is an algorithm for finding an optimal control at the pumping station. This paper discusses the static problem (Kotowski and Olesiak, 1980) of energy wastes minimization in the water network and also describes an algorithm for solving it. Finally, an algorithm of operative control of the water distribution systems is presented.

Byzantine Algorithms in Wireless Sensors Network

In this paper we discuss classic concepts of byzantine failure tolerance that can be applied in fault-tolerant system design. Through replication of services (algorithmic computations) in a wireless sensors network, the system can operate in a reasonably correct manner even in presence of errors (e.g. faults). In distributed systems similar to wireless sensors networks - local disturbances or distortion problems can be resolved locally without involving the whole infrastructure. Our proposition is to demonstrate suitability of variants of byzantine algorithms based on additional information flow for solving such problems locally. By using byzantine algorithms we can ensure reduction of disturbances and fake or invalid alarms in a sensors field as well limit their range to a minimum. Whole problem is presented using a simulator that shows this algorithms during operation.

Advanced Methods and Applications in Computational Intelligence

This book offers an excellent presentation of intelligent engineering and informatics foundations for researchers in this field as well as many examples with industrial application. It contains extended versions ofselected papers presented at the inaugural ACASE 2012 Conference dedicated to the Applications of Systems Engineering. This conference was held from the 6th to the 8th of February 2012, at the University of Technology, Sydney, Australia, organized by the University of Technology, Sydney (Australia), Wroclaw University of Technology (Poland) and theUniversity of Applied Sciencesin Hagenberg (Austria). The book is organized into three main parts. Part I contains papers devoted to the heuristic approaches that are applicable in situations where the problem cannot be solved by exact methods, due to various characteristics or dimensionality problems. Part II covers essential issues of the network management, presents intelligent models of the next generation of networks and distributed systems as well as discusses applications of modern numerical methods in large intractable systems. Part III covers salient issues of complexity in intelligent system applications. This part also contains papers and articles which discuss concurrency issues that arise when multiple systems attempt to use the same radio space and the inter-connected system applications in the field of medical simulation and training.

Autonomy and Cooperation as Factors of Dependability in Wireless Sensor Network

In the paper we explore relationships between autonomy, cooperation and dependability in wireless sensors network (WSN). We consider WSN as a set of sensors deployed insome area. These sensors must act autonomously and cooperatively to achieve both their particular self-interested and global goals. In proposed approach we determine cooperation and autonomy abstractions and consider them in the context of three basic relations (sub-ordination, tolerance, collision). In such way we expand 2D space (autonomy, cooperation) onto 3D partially or totally ordered relational space. Proposed conceptual framework provides a powerful paradigm to conceive, model, support and manage dynamically organising complex systems.

Security threats in Cognitive Radio applications

In this paper we shall consider security aspects of Cognitive Radio (CR) and its applications. We shall cover design of a security simulation model for cognitive radio and discuss results of conducted experiments using Omnet++ simulation tool in the . Net environment. The aim of this paper is to provide an overview of various applications of CR as well as the security threats faced when applying this technology. The functions, benefits and applications of CR are analyzed, along with the challenges faced by the technology. We shall discuss in detail a several security threats faced by CR and carry out selected research on techniques used to mitigate such malicious attacks and provide examples of simulation experiments in Omnet++.

Computer-Guided Laparoscopic Training with Application of a Fuzzy Expert System

Laparoscopic surgery is a widely accepted operating technique which continues to spread into different areas of medicine. Because of its differences to open surgery (like limited perception) it demands a different training program than the traditional surgical training programs. Since its introduction in 1980s several training curriculums for laparoscopic surgeons have been deployed and a set of skills that need to be mastered during the training has been defined. The training system proposed in this paper uses a knowledge base to guide the trainee trough the process of acquiring the necessary skills, based on the trainees measured performance in several areas. The systems guidance allows for better understanding of areas that need additional work and for faster acquisition of those, without the need for extra attention from the tutoring staff.

Virtual student exchange: lessons learned in virtual international teaming in interdisciplinary design education

The increasing globalization of corporate economies has changed the face of engineering practice. In addition to core engineering skills, modern engineers must possess cross-cultural communication skills, team management skills, and the ability to perform on geographically-distributed teams. As part of a novel curricular paradigm we are exploring the so called Global Engineering College (GEC). We have developed the concept of virtual student exchange, which aims to address the geographic and temporal obstacles to joint international teaming by allowing students at one institution to participate virtually in team design courses offered at another institution. After a year of planning and software development, we piloted this concept in Fall 2003 and again in Spring 2004, allowing German and Polish students to participate as team members in a robotics design course offered at the University of Northern Arizona (USA). We describe the virtual student exchange concept, report on our experiences piloting the key elements of this model under an NSF planning grant, focusing on the many obstacles - both expected and unexpected - encountered, and solutions developed to address them.

Multi-hop and directed routing based on neighborhood cooperation in WSN

The paper describes a relational abstraction of neighborhood cooperation for Wireless Sensor Network (WSN) where node can identify its neighbors around it. Since radio links have limited range only some nodes have a direct contact with the Base Station (BS) and data transmission is executed using multi-hop communication to ensure that information is send from one node to another towards the BS. The novel abstract uses a subordination relation, to manage the neighbor cooperation between WSN nodes, that exploits topological properties of the WSN. Based on the hop-distance from the BS, any node k is able to establish a set N<(k) consisting of nodes to which k has to send communication messages in order to maintain the data-flow direction towards the BS.

Designing Communication Space in Wireless Sensor Network Based on Relational Attempt

In this paper, we describe results of designing a communication space in WSN. To achieve this goal we propose notional system which can convey sophisticated WSN reality onto some mathematical abstraction. We concentrate on three of them; neighborhood, communication space and relations. Consequently our work concentrate on developing the formal methods and techniques necessary to model and evaluate communication space in the network. Proposed approach pointed that: neighborhoods are more useful than clusters because they provide more communication connections, communication space is better than routing paths because it spreads evenly energy losses, relations work better than functions because of topology based properties.