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Localization in wireless sensor networks: Classification and evaluation of techniques

100%
Niewiadomska-Szynkiewicz E.
International Journal of Applied Mathematics and Computer Science
|
2012
|
tom 22
|
nr 2
281-297
EN
Recent advances in technology have enabled the development of low cost, low power and multi functional wireless sensing devices. These devices are networked through setting up a Wireless Sensor Network (WSN). Sensors that form a WSN are expected to be remotely deployed in large numbers and to self-organize to perform distributed sensing and acting tasks. WSNs are growing rapidly in both size and complexity, and it is becoming increasingly difficult to develop and investigate such large and complex systems. In this paper we provide a brief introduction to WSN applications, i.e., properties, limitations and basic issues related to WSN design and development. We focus on an important aspect of the design: accurate localization of devices that form the network. The paper presents an overview of localization strategies and attempts to classify different techniques. A set of properties by which localization systems are evaluated are examined. We then describe a number of existing localization systems, and discuss the results of performance evaluation of some of them through simulation and experiments using a testbed implementation.
2
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A federated approach to parallel and distributed simulation of complex systems

63%
Sikora A., Niewiadomska-Szynkiewicz E.
International Journal of Applied Mathematics and Computer Science
|
2007
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tom 17
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nr 1
99-106
EN
The paper describes a Java-based framework called ASimJava that can be used to develop parallel and distributed simulators of complex real-life systems. Some important issues associated with the implementation of parallel and distributed simulations are discussed. Two principal paradigms for constructing simulations today are considered. Particular attention is paid to an approach for federating parallel and distributed simulators. We describe the design, performance and applications of the ASimJava framework. Two practical examples, namely, a simple manufacturing system and computer network simulations are provided to illustrate the effectiveness and range of applications of the presented software tool.
3
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Optimization schemes for wireless sensor network localization

63%
Niewiadomska-Szynkiewicz E., Marks M.
International Journal of Applied Mathematics and Computer Science
|
2009
|
tom 19
|
nr 2
291-302
EN
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 distance-based algorithms for estimating the positions of nodes in a sensor network. We discuss and compare three approaches: semidefinite programming, simulated annealing and two-phase stochastic optimization-a hybrid scheme that we have proposed. We analyze the properties of all listed methods and report the results of numerical tests. Particular attention is paid to our technique-the two-phase method-that uses a combination of trilateration, and stochastic optimization for performing sensor localization. We describe its performance in the case of centralized and distributed implementations.
4
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Application of a Java-based framework to parallel simulation of large-scale systems

51%
Niewiadomska-Szynkiewicz E., Żmuda M., Żmuda M.
International Journal of Applied Mathematics and Computer Science
|
2003
|
tom 13
|
nr 4
537-547
EN
Large-scale systems, such as computer and telecommunication networks, complex control systems and many others, operate in inherently parallel environments. It follows that there are many opportunities to admit parallelism into both the algorithm of control implementation and simulation of the system operation considered. The paper addresses issues associated with the application of parallel discrete event simulation (PDES). We discuss the PDES terminology and methodology. Particular attention is paid to the software environment CSA SPV (em Complex Systems Analysis and Simulation-Parallel Version), which provides a framework for simulation experiments performed on parallel computers. CSA SPV was applied to investigate several real-life problems. The case studies are presented for both computer and water networks.
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