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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...
In order to enable Location Based Service (LBS) closed environment, many technologies have been investigated to replace the Global Positioning System (GPS) in the localization process in these indoor environments. WLAN occurs as the most suitable and powerful technology for Indoor Positioning System (IPS) due to its widespread and low cost. WLAN received signal strength (RSS) fingerprinting can be...
Wireless sensor networks suffer from the secure threat, which leads to excessive energy consumption and the expense of increased transmission delay. In this paper, a secure routing algorithm is proposed. The node evaluates the neighbor node by the trust value. The trust value of node is calculated by the accuracy rate of messages exchanging between two nodes. The trusted neighbor nodes set of the...
In this paper, we propose a novel range-free localization algorithm tailored for anisotropic wireless sensors networks (WSN)s. Using the proposed algorithm, each regular or positionunaware node estimates its distances only to reliable anchors or position-aware nodes. The latter are properly chosen following a new reliable anchor selection strategy that ensures an accurate distance estimation making...
Received signal strength indication (RSSI) is used in most cases of the localization system for its advantages of simplicity, requiring no additional hardware and low-cost. However, due to the irregular fluctuation, there are certain measured RSSIs which do not follow the empirical path loss model, while estimating the location of the blind node. So it's quite difficult to achieve high location accuracy...
Wireless visual sensor networks (WVSN) have been developed as a directional types of sensor network with different challenges such as optimization of energy consumption. These networks provide more information than the other types of wireless sensor networks. The goal of this paper is to optimize the tradeoff between the energy consumption and the quality of the received data. For realization of this...
The machine-to-machine (M2M) communication network is a promising concept to improve the user experience. The M2M communication enables two M2M devices in proximity of each other to establish a direct local link and bypass the base station. Machine-to-machine communication can be applied to various important fields, such as military applications, public safety, environmental monitoring, commercial...
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