A review of simulation framework for wireless sensor networks localization (original) (raw)
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Development and validation of a localization framework for wireless sensor networks
Wireless sensor networks localization is an important area that is required in many wireless sensor network applications. It is rather complex or even unfeasible; to model analytically WSN localization and it usually leads to oversimplified analysis with limited confidence. Besides, deploying test-beds supposes a huge effort. Therefore, simulation is essential to study WSN localization. However, it requires a suitable model based on solid assumptions and an appropriate framework to ease implementation. Most of WSNs simulators fail to support all the following criteria: easy, extendable and scalable, so that we design and implement an integrated framework used for localization in WSNs and available for the analysis of different types of localization schemes (Range-free, Range-based and Hybrid localization algorithms). The obtained framework is simple and easy to be used to demonstrate the performance evaluation and comparison of different types of localization schemes. It can also be extended to include many localization algorithms by future researchers.
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Simulation environment for distance based location algorithms in wireless sensor networks
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In the last years, a remarkable research effort has been made in the area of wireless sensor networks. One of the main advantages of this kind of distributed system is the ability to determine the position of its nodes and the events sensed. Therefore, a simulation framework is required to compare the different location algorithms that could be used in a certain environment, in order to decide which one is the most suitable method for determining the position of a node or target, as well as to identify the weaknesses and strengths of every algorithm. In this paper, we describe a simulation environment, for distance based location algorithms to be used in wireless sensor networks.
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Wireless sensor networks (WSNs) are nowadays considered to be a very active research field. WSNs consist of interconnected small devices, which are managed by users. Their demands in hardware are limited and the usage of particular communication protocols lead in great autonomy. Α WSN application is the localization of targets invading in the area covered by sensors' range. This target may be an animal, human, object or anything else. Localization can only take place when the sensors are capable of processing data and of communicating with each other. When these conditions hold, localization is achieved. A simulation environment has been developed in Matlab for studying the above described problem, where the localization algorithm may be integrated together with different scenario parameters. These scenarios have been implemented for evaluating the localization algorithm performance for different mobile object trajectories and speeds as well as for different network topologies. ...
An Integrated Software Framework for Localization in Wireless Sensor Network
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 describe and evaluate an integrated software framework WSNLS (Wireless Sensor Network Localization System) that provides tools for network nodes localization and the environment for tuning and testing various localization schemes. Simulation experiments can be performed on parallel and multi-core computers or computer clusters. The main component of the WSNLS framework is the library of solvers for calculating the geographic coordinates of nodes in a network. Our original solution implemented in WSNLS is the mization to determine the position of nodes with unknown location in the sensing field. We describe and discuss the performance of our system due to the accuracy of location estimation and computation time. Numerical results presented in the paper confirm that our hybrid scheme gives accurate location estimates of network nodes in sensible computing time, and the WSNLS framework can be successfully used for efficient tuning and verification of different localization techniques.
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Wireless sensor networks have emerged from military needs and found its way into civil applications. Today wireless sensor networks have become a key technology for different kinds of smart environments. Sensor node localization which is determining where a given sensor node is physically or relatively located is extremely crucial for most of the applications in wireless sensor networks. The procedure through which the sensor nodes obtain their positions is called localization. Many localization algorithms have been proposed for wireless sensor networks. In this article, we describe our newly developed localization algorithm and performance evaluation of this localization algorithm with square, 'C' and 'L' shape network topology.
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Latest advances in radio and inserted frameworks have empowered the expansion of wireless sensor networks. WSN's are enormously being utilized as a part of diverse conditions to perform different observation and monitoring tasks in various fields. The notable uses of WSN are Military Applications, Industrial Applications and in addition Household, Disaster Relief operations, in Medical Applications and human services checking as Body Area Network, Monitor action of Sensitive territory,. For example the sensor nodes are hidden under bed at different forces for social event climatic conditions, weight and extra type of data for seeing the development of Snow. In all these, localization is a standout amongst the most imperative framework parameters. Localization is basic to report the beginning of errands, gathering inquiry of sensors, directing and to answer inquiries on the organized network. Along these lines, one of the essential difficulties in remote sensor organize is localization. This paper audits distinctive procedures of localization in wireless sensor networks. The general thought of the plans proposed by various researchers for the improvement of localization in remote sensor systems is additionally introduced.