ADVANCED SENSOR BASED POSITIONING AND MONITORING SYSTEM (original) (raw)
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International Journal of Online Engineering (iJOE), 2018
This paper aims to create a desirable positioning method for nodes in wireless sensor networks (WSNs). For this purpose, a source node positioning algorithm was developed based on time-of-arrival (TOA), in view of the nonlinear correlation between the measured values and unknown parameters in the observation equation of TOA source position. Several experiments were carried out to evaluate the performance of the proposed algorithm in terms of time measurement error, computing complexity, location error and Cramér–Rao lower bound (CRLB). The results show that the CRLB acquired by this algorithm can be used for WSN node positioning, provided that the independent zero mean Gauss measurement error is sufficiently small. The research findings lay a solid technical basis for optimal management, load balance, efficient routing, and automatic topology control of WSNs.
High performance wireless sensor network localisation system
International Journal of Ad Hoc and Ubiquitous Computing, 2014
In this paper we summarize the results of our research concerned with the development, implementation and evaluation of a software framework for wireless sensor networks localization-High Performance Localization System (HPLS). The system can be used to calculate positions of sensing devices (network nodes) in the deployment area, and to tune and verify various localization schemes through simulation. It provides tools for data acquisition from a workspace, estimation of inter-node distances, calculation of geographical coordinates of all nodes with unknown position and results evaluation. Received Signal Strength measurements are utilized to support the localization process. Trilateration, simulated annealing and genetic algorithm are applied to calculate the geographical coordinates of network nodes. The utility, efficiency and scalability of the proposed localization system HPLS have been justified through simulation and testbed implementation. The calculations have been done in parallel using the map-reduce paradigm and the HPC environment formed by a cluster of servers. The testbed networks were formed by sensor devices manufactured by Advantic Technology (clones of TelosB platform). A provided case study demonstrates the localization accuracy obtained for small-, medium-and large-size multihop networks.
Design and evaluation of a real-time locating system for wireless sensor networks
Journal of Location Based Services, 2014
Evaluating target tracking protocols for wireless sensor networks that can localize multiple mobile assets, can be a very challenging task. Such protocols usually aim at the minimization of communication overhead, data processing for the participating nodes, as well as delivering adequate tracking information of the mobile assets in a timely manner. Simulations on such protocols are performed using theoretical models that are based on unrealistic assumptions like the unit disk graph communication model, ideal network localization and perfect distance estimations. With these assumptions taken for granted, theoretical models claim various performance milestones that cannot be achieved in realistic conditions. In this paper we design a new localization protocol, where mobile assets can be tracked passively via software agents. Moreover, we address and mitigate issues that hinder performance over the wireless medium and provide a fully deployable protocol. The design, implementation and experimentation of this new protocol along with further optimizations, were performed using the WISEBED framework. We apply our protocol in a real indoors wireless sensor testbed with multiple experimental scenarios to showcase scalability and trade-offs between network properties and configurable protocol parameters. By analysis of the real world experimental output, we present results that depict a more realistic view of the target tracking problem, regarding power consumption and the quality of tracking information. Finally we also conduct some very focused simulations to assess the scalability of our protocol in very large networks and multiple mobile assets.
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.
Energy Efficient Wireless Sensor Network System for Localization
This paper introduces an enhanced overlapping connectivity-based localization technique. Constructed experiments showed that using the information obtained from closer anchor nodes in the communication range results in better position estimations. In this work, received signal strength indication (RSSI) measurements are used to estimate the distance of an anchor node to a mobile node. The optimal number of anchor nodes to be used in localization is determined empirically with the performed experiments. The enhanced localization technique is implemented on a wireless sensor network system consisting of GenetLab sensor nodes. Each node has MSP430 processor and TinyOS operating system deployed. In order to increase the energy efficiency of the wireless sensor network system, the anchor nodes are operated in active-state or semi-active state based on the position of the mobile nodes. It is shown that such an approach enhances the energy efficiency of the system under various movement sc...
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Node Localization in Wireless Sensor Networks (WSN) refers to determining the location of sensor nodes which are deployed in sensor field that are responsible for monitoring applications like environment perceived applications, tracking, traffic monitoring etc. This paper covers the localization techniques and study which algorithm provides higher accuracy, low expense and better power utilization.
Survey: Deployment and Localization Techniques of Wireless Sensor Network
A sensor network is a large ad hoc network of densely distributed sensors that are equipped with low power wireless transceivers. Such networks can be applied for cooperative signal detection, monitoring, and tracking, and are especially useful for applications in remote or hazardous locations. This paper addresses the problem of location discovery at the sensor nodes, which is one of the central design challenges in sensor networks. Many existing systems and protocols attempt to solve the problem of determining a node's location within its environment. Others attempt to solve the problem of detection and tracking moving targets. The approaches taken to solve both localization problems differ in the assumptions that they make about their respective network (the way of deployment, network topology) and device capabilities. These include assumptions about device hardware, signal propagation models, timing and energy requirements, network makeup (homogeneous vs. heterogeneous), the nature of the environment (indoor vs. outdoor), node or beacon density, time synchronization of devices, communication costs, error requirements, and device mobility. Different localization algorithms are represented with their environment assumption (for both indoor and outdoor). Future research directions and challenges for improving node localization in wireless sensor networks are also discussed.
Enhancement of Localization Algorithm in Wireless Sensor Networks
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Localization is that the main sensible issue in wireless sensor networks as a result of several applications need the sensing element to understand their actual position with a high degree of exactitude. In WSN, due to limitations of nodes energy, energy potency is a vital factor which should be considered when protocols are designing. In wireless sensor network due to Varied localization methods supported mobile anchor nodes are projected for helping the sensing element in node to see their location. Consequently, this paper presents a path designing theme, which ensures that the flight of the mobile anchor node minimizes the localization error and guarantees that everyone of the sensing element node will verify their location further as LEACH protocol plays a vital role in response to the uneven energy distribution that’s caused by the randomness of cluster heads forming. The performance of the projected theme is evaluated through a series of simulations with the .NET. The result ...
A Practical Solution for Location Estimation in Manually Deployed Wireless Sensor Networks
Wireless Sensor Network, 2011
This paper addresses the existing research and adds another aspect of functionality by incorporating pertinent sensor nodes to provide a dynamic location discovery and estimation. The software used provides an easy graphical user interface to visualize a particular location in accordance with geographical latitude and longitude. A simple real time location estimation technique is worked out for wireless sensor networks based on manual deployment of sensors. The proposed scheme finds more efficient solutions with less quantity of sensors as compared to existing deployment schemes. The set up is evaluated exclusively in real environments using IRIS sensor nodes supported by a global positioning system module to provide visualization of an outdoor location. The results are offered by Google Earth application.