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There are many applications for which location information plays a crucial role. Finding location information by a sensor node is called the localization problem. The major challenge is to determine the location of unknown nodes based on the known location of other nodes. In this paper, a range-free localization scheme based on fuzzy-logic approach has been proposed. The localization scheme uses the...
The positioning technology is one of the most important technologies in the wireless sensor network. The paper describes the current international positioning on several existing technologies, including the based ranging RSSI, TOA, TDOA, etc. and non-centroid algorithm based on distance, Amorphous algorithm, APIT algorithm and so on. Dv_Hop algorithm is a distributed localization algorithm based on...
Wireless Sensor Networks(WSNs) consists of hundreds of nodes which are of low power, low cost, and tiny devices. The main functionality of these nodes is to sense the environment and send the sensed data to the observer. In order to validate and get the significance of sensing data, location information of the sensor node needs to be combined with the sensed data. In addition to this, there are many...
Devising a protocol for computing the location of a sensor in a wireless sensor network (WSN) is a challenging task. In this paper, we present a protocol for computing the location of a sensor that is part of a WSN. The proposed protocol is based on the extent of the trust contained in the reply messages sent by the neighboring sensors that are either anchors or already localized nodes against the...
Recent technological developments in Micro-ElectroMechanical System (MEMS) and communication system have made the wireless sensor networks (WSNs) with emerging applications. Localization is the essential research problem in WSNs. In this paper, I have projected Received Signal Strength Indicator (RSSI) and improved Distance vector (DV) localization algorithms for accurate position estimation. The...
Wireless sensor networks are created using low cost, low power sensor nodes to collect useful information from a targeted environment in various applications. Location estimation is one of the areas where these networks can be exploited. Main aim of this study is to control a fleet via wireless sensor networks that only leader vehicle has human control. Instead, some of the vehicles can be equipped...
Centroid Algorithm Localization is to fix position using the wireless sensor connections, which has larger error. To increase the localization accuracy, based on the fact that the centroid algorithm is comparative stable under the changing environment, and the conveniences of RSSI, a revised and improved centroid algorithm based on RSSI is proposed in this paper. Combined with the advantages of the...
In factory automation contexts, the localization is an important issue to be considered in order to help industrial monitoring processes, at different layers. This paper shows the study of an innovative localization platform, for industrial environments, based on the IEEE 802.11 technology. The platform can be easily implemented inside an existing communication architecture, introducing several Wi-Fi...
Robotics can have many applications in wireless sensor networks. Robotics can be used to help solve many problems in wireless sensor networks, such as localizing nodes, acting as data mules, repositioning nodes, detecting and reacting to sensor failure, aggregate sensor data, and even sometimes provide mobile battery chargers for the nodes. Inversely, wireless sensor networks can help solve many problems...
Localization is an active field of research in wireless sensor networks WSNs. The information of exact physical location of the sensor nodes in WSNs is useful for various application e.g. intrusion detection, target tracking, environmental monitoring and network services etc. In this paper we present the classification and comparative study of localization algorithms. The goal of our consideration...
Most of the present localization algorithms based on manifold learning in wireless sensor networks get the estimated sensor locations by using one neighborhood parameter. These algorithms are sensitive to the neighborhood parameter, and can not guarantee that the selected parameter of the neighborhood is optimal. To overcome this shortcoming, this paper proposes the robust localization method based...
Secure localization in wireless sensor networks (WSNs) has received a great deal of attention with the increasing applications of wireless sensors. Security issues of localization in WSNs need to take into account attacks from both external and internal nodes. In this paper, we propose a secure localization scheme based on trust evaluation called trust based secure localization (TBSL) to evaluate...
The ns-2 network simulator is one of the most widely used tools by researchers to investigate the characteristics of wireless sensor networks. Academic papers focus on results and rarely include details of how ns-2 simulations are implemented, and if published the modules tend to be scheme specific. The availability of generic and reusable modules for ns-2, which supports specific research areas while...
In wireless sensor network, nodes localization is the basis to communicate effectively, and it is the key technology to improve the nodes location accuracy. This paper analyzes the conventional algorithms in positioning nodes coordinate (maximum likelihood estimation, weighted least squares, kalman filter algorithm), and this paper proposes an improved algorithm for nodes localization in wireless...
In recent years, energy consumption has been a critical constraint in wireless sensor networks (WSNs) and their applications. Target tracking is one of the most important of these applications. Using prediction-based methods for target tracking in WSNs, can improve energy consumption highly in these networks. Prediction-based methods, with prediction the target trajectory and its next location, only...
This letter examines the lower bound on localization error, which is an important performance measure for localization algorithms. Unlike some previous works based on the circular coverage model, we consider a more realistic scenario where radio propagation is subject to log-normal shadow fading. In this letter, we present an analytical expression for the distribution of lower bound on localization...
In underwater sensor networks, localization is one of the most important issues because sensor nodes are considerably difficult to be deployed at determined locations. Since range-based schemes require additional device and precise time synchronization for measuring distances in underwater environments, range-free schemes are promising in the view point of energy consumption and implementation. Coarseness...
The localization principle and error source of DV-Hop algorithm which is classic self-localization algorithm in wireless network are introduced in this paper. Aiming at the disadvantage of DV-Hop algorithm on localization accuracy, an improved scheme by modifying the average hop distance is proposed. The simulation results show that the comprehensive properties of the improved algorithm (including...
Besides sensing the environment variables and detecting the events in the deployment area, tracking of objects has gained much attention in the wireless sensor network research fields. Unlike the other range-free localization schemes which are not effective in real time performance, we propose a mechanism based on the received signal strength to develop real time object-tracking strategy, which determines...
Node localization is an important problem for location-dependent applications of wireless sensor networks. Aiming at the positioning problem of wireless sensor networks node location, an improved DV-Hop localization algorithm is proposed in this paper. The proposed method firstly recalculates the hop-size and sends different correction along different directions instead of computing a single correction...
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