Development and validation of a localization framework for wireless sensor networks (original) (raw)

A Simulation Framework for the Performance Evaluation of Localisation Techniques over WSNs

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. ...

A review of simulation framework for wireless sensor networks localization

2014 IEEE Student Conference on Research and Development, 2014

Wireless sensor networks have the capability to deliver the environmental data to the user. Among the significant data is the location of the node either in static or mobile. A number of network simulators were extensively reviewed specifically for the development of wireless sensor networks protocol. However, there is little work done in assessing the framework for localization simulation. This paper addresses the lack of the previous surveys by giving the guidelines for localization developer to select the suitable network simulator or programming language. It includes a comparative description on importance features in evaluating the localization algorithm. In addition, it discusses the general performance evaluation metric use for localization. Finally, it list several open issues which help in developing and analyzing the localization algorithm.

An experimental evaluation of localization methods used in wireless sensor networks

Indonesian Journal of Electrical Engineering and Computer Science, 2022

The problem of localization in wireless sensor networks has received considerable attention from researchers over the past decades. Several methods and algorithms have been proposed to solve this problem. The effectiveness of these algorithms depends on the accuracy of the estimated positions and the information required to calculate the coordinates. In this paper, we propose to evaluate four of the most commonly used localization methods in sensor networks. Our study considers a mathematical description of the studied methods in order to evaluate their complexity, and then a practical implementation on the simulation tool Cooja. We evaluate the performance of the studied methods as a function of the number of deployed sensor nodes and their degree of mobility in terms of several performance metrics. The objective is to reveal the most suitable localization method for a particular case of deployment. Improvement proposals are also provided to improve the most relevant localization method for the investigated study. This is an open access article under the CC BY-SA license.

Critical Evaluation on WSNs Positioning Methods

International Journal of Innovative Research in Computer Science & Technology (IJIRCST), 2021

WSN gained a lot of attention because they are small and economical devices with low power utilization, and finite computing resources are progressively being enfolded in various application situations, including environmental monitoring, reconnaissance tracking, and health monitoring. In many applications of this type, node localization is an intrinsic parameter of the system. To report events origin, routing, and network coverage (A&Q), assist group querying of the sensors Localization process is mandatory. Localization is categorized into two types, which are a range-based or range-free scheme which is further divided into two sub-schemes as a fully and hybrid. For the detailed analysis and study, we are going to investigate localization schemes based on static and mobile WSN in this work. This research opens the new paradigm and future planning for the localization algorithms mainly how sensors are deployed? What kind of measures are taken into account to boost the algorithms so that the system can calibrate itself in changing environments?

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.

Localization algorithms of Wireless Sensor Networks: a survey

Telecommunication Systems

In Wireless Sensor Networks (WSNs), localization is one of the most important technologies since it plays a critical role in many applications, e.g., target tracking. If the users cannot obtain the accurate location information, the related applications cannot be accomplished. The main idea in most localization methods is that some deployed nodes (landmarks) with known coordinates (e.g., GPS-equipped nodes) transmit beacons with their coordinates in order to help other nodes localize themselves. In general, the main localization algorithms are classified into two categories: range-based and range-free. In this paper, we reclassify the localization algorithms with a new perspective based on the mobility state of landmarks and unknown nodes, and present a detailed analysis of the representative localization algorithms. Moreover, we compare the existing localization algorithms and analyze the future research directions for the localization algorithms in WSNs.

A Descriptive Study on various Localization Schemes for Localization of WSNs

This paper presents the several localization techniques for the wireless sensors networks and the need for localization. Localization is estimating the position or spatial coordinates of wireless sensor nodes. The localization problem has received considerable attention in the past, as many applications need to know where objects or persons are, and hence various location services have been created. Undoubtedly, the Global Positioning System (GPS) is the most well-known location service in use today. A few of the developed and emerging techniques has been discussed in the paper.

WIRELESS SENSOR NETWORKS LOCALIZATION ALGORITHMS: A COMPREHENSIVE SURVEY

Wireless sensor networks (WSNs) have recently gained a lot of attention by scientific community. Small and inexpensive devices with low energy consumption and limited computing resources are increasingly being adopted in different application scenarios including environmental monitoring, target tracking and biomedical health monitoring. In many such applications, node localization is inherently one of the system parameters. Localization process is necessary to report the origin of events, routing and to answer questions on the network coverage ,assist group querying of sensors. In general, localization schemes are classified into two broad categories: range-based and range-free. However, it is difficult to classify hybrid solutions as range-based or range-free. In this paper we make this classification easy, where range-based schemes and range-free schemes are divided into two types: fully schemes and hybrid schemes. Moreover, we compare the most relevant localization algorithms and discuss the future research directions for wireless sensor networks localization schemes.

Localization Techniques for Wireless Sensor Networks: A Review

Wireless sensor networks (WSNs) have recently emerges as promising technology in wireless communication field and gained special attention by research groups. It uses small and cheap gadgets with low energy requirements and limited on board computing resourceswhich communicates with each other's or base stations without any pre-defined infrastructure. The property of being infrastructure less makes it suitable in distinctive application situations including remotemonitoring, disaster management, military applications and biomedical health observing devices. In many of these applications, node localization is unavoidably one of the important system parameters for example in target tracking if the nodes are not able to obtain the accurate location information, the related task cannot be performed.It is also helpful in routing, network coverage and quarry management of sensors. In general the localization techniques are ordered into two general classifications: range based and range free. In this paper, we discussed the various localization algorithms with their applicable areas, requirements and limitations. Moreover, on conclusion we compare these localization algorithms and analyze the future research directions for the localization algorithms in WSNs.

A Review on Localization Algorithms in Wireless Sensor Networks

2014

In wireless sensor networks (WSNs), nodes are deployed in sensor fields for monitoring and controlling the physical environments. Node localization is fundamental challenge in wireless sensor networks as without knowing the location of nodes sensed information will have no value. Therefore, it is vital that nodes must know their location. This paper provides a review of basic techniques for localization. The localization algorithms are classified into GPS based or GPS free, Anchor based or Anchor free, Centralized or Distributed and Range based or range free. Paper further discusses limitations of each of the algorithms.