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For energy-based multi-source localization in wireless sensor networks (WSNs), multi-resolution search and expectation maximization algorithms are of either high energy consumption or low localization accuracy. In this paper, we propose a multi-source localization algorithm via sparse reconstruction based on fully distributed structure (MLSR-FD) in WSNs. The fully distributed structure is used to...
Wireless Sensor Network as an important technology of Internet of things' development, is more and more widely used in various research fields. This paper mainly researches the part of localization application based on wireless sensor network, focuses on DV-Hop localization algorithm, and gives its algorithm simulation and analysis of the simulation results. Also this paper improves the algorithm...
In various industrial automation applications, positioning enables location awareness which can be exploited in applications such as robotic precision control, amongst others. This paper discusses positioning for industrial automation applications. Examples of applications from an infrastructure perspective are presented, and the integration of high precision positioning technology into existing network...
Log-distance path loss model have been using as a simple positioning method because of its simplicity which is mainly depends on Received Signal Strength (RSS) along with path loss exponent and random Gaussian noise variable with zero-mean. This model can be extensively used in urban and remote area because it is related to energy representation. On the other hand, fingerprint positioning is also...
The advances of electronics provide options for improved monitoring of patients in clinical environment. Medical applications like blood pressure monitoring require precise and wireless altitude measurement in indoor environment. An error of more than a few centimeters bears a risk of mistreatment of patients. Furthermore, user requirements like small form factor, usability and robust operation are...
In this paper, we present an experimental localization system consisting of two fused solutions. The Ultra-wideband Localization Platform based on the time difference of arrival technique provides accurate positioning in a limited indoor area. The wireless sensor network s-net® system, calculating positions with the weighted centroid localization algorithm by the use of received signal strength indication...
Indoor localization is important for logistics, industrial applications and for several consumer applications. In the area of logistics, e.g. warehouses, localization accuracy within a few meters is desired. Available radio based systems within that accuracy are neither cost effective nor easy to deploy. Distance estimation together with triangulation are one of the standard solutions for localization...
This paper proposes a novel multi-hop localization algorithm based on bias self-adaptive correction to solve the distance estimation bias problem for underwater wireless sensor networks (UWSNs), which are commonly deployed in complex ocean environments. The principle of our scheme is firstly to exclude the poor anchors with location bias so as to establish the reliable localization sets for the ordinary...
In this paper, we propose a maximum likelihood estimation approach with negative constraints to realize the localization of the unknown nodes in wireless sensor network. The main work can be divided into three parts: firstly, we measure the distance based on received signal strength from the nodes. Secondly, a series of positive and negative constrains are combined to build the modeling using the...
Recently there has been much focus on Wireless sensor networks (WSN). However Location information is one of the most important information in WSN. Many location estimation algorithms for WSNs have been used to determine the sensor nodes position. In this paper, two different localization algorithms using Trilateration and Multilateration mathematical techniques have studied and compared according...
Indoor localization and navigation using wireless sensor networks is still a big challenge if expensive sensor nodes are not involved. Previous research has shown that in a sparse distributed sensor network the error distance is way too high. Even room accuracy can not be guaranteed. In this paper, an easy-to-use generic positioning framework is proposed, which allows users to plug in a single or...
The paper presents a prototype mixed-mode wireless indoor positioning and navigation system. The main goal of the system is to provide accurate and reliable location information for visually impaired users. The system also enables access to location related context information. The radio nodes of the network can operate in two power modes providing basis for both rough and precise user positioning...
This paper aims to introduce some key parameters for the tracking application in wireless sensor networks. In this paper, the Nearest Closer protocol has been implemented in Jsim simulation platform, and consequently some useful trade-off analysis results among the density, reliability and lifetime have been obtained. Based on these results, two evaluation models are proposed.
The exploration of bio-physical crop parameters is fundamental for the efficiency of smart agriculture. The leaf area index (LAI) is one of the most important crop parameters and serves as a valuable indicator for yield-limiting processes. It contributes to situational awareness ranging from agricultural optimization to global economy. In this paper, we investigate the potential of Wireless Sensor...
Seamless positioning is one of the goals for positioning technology. In all the related positioning systems, confidence parameters are needed, to support the location information fusion process in seamless positioning. Compared to the major positioning systems, positioning accuracy estimation parameter is absent in fingerprint positioning system. This hinders the fingerprint positioning system from...
In this paper, we consider the localization problem on wireless sensor networks in indoor environments, in the case when low cost ranging techniques are used. Each sensor node seeks to estimate its local map (i.e., its own position and that of the sensor nodes in its neighborhood) by collecting noisy measurements of the received signal strength indicator (RSSI) from packets sent by its neighbors....
For the design of dependable and efficient wireless sensor networks it is essential to estimate the achievable packet reception rate (PRR) in the deployment environment. Making such estimation is not trivial as packet delivery success depends on the level of interference present in the deployment area. In this work we show that it is possible to obtain a meaningful representation of the expected interference...
Energy consumption remains the dominant limitation in most sensor networks. An outsized and growing body of literature has investigated the energy-efficiency problem. In general, energy is afforded either through preserving the already allocated energy sources such as batteries or super-capacitors; or through harvesting energy from the environment; or by utilizing both approaches. In this paper, we...
Participatory sensing is a revolutionary new paradigm that offers individuals and interest groups the opportunity to contribute to an application using their sensor equipped handheld devices. However, one of the main challenges that threatens the success of participatory sensing systems is “privacy.” Data collected from participants' devices such as location, time, phone number, etc. are considered...
This paper proposes a kind of improved DV-Hop algorithm to solve the problem of low positioning accuracy in traditional DV-Hop algorithm. This method uses wavelet neural network to estimate the per-hop distance of the anchor nodes. In order to improve the positioning performance, the distance of per-hop is applied in the wireless sensor network. Simulation results show that, the localization error...
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