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Indoor localization is an important issue in wireless sensor network (WSN) studies. Sensed data may become meaningless, if the locations of sensors are not known. Traditional localization techniques do not meet the requirements of low-cost and energy-conservation while performing localization tasks. Recently, the received signal strength indicator (RSSI)-based range measurement technology is widely...
In our previous work, a node self-localization algorithm based on virtual central node (VCN) for wireless sensor network (WSN) is proposed. This method is adapted to WSN that anchor nodes present a uniform distribution in three dimensional spaces. During the localization process, by deducing a 3D special node, which is called virtual central node, unknown nodes can compute their own positions automatically...
The problem of tracking moving objects with help of wireless sensor network (WSN) has been studied in past. Most of the solutions rely on the use of specialized and expensive sensors, and on dense deployment of sensors. These techniques are infeasible for applications in low budget domains. In this paper, we propose two novel techniques to track targets using binary sensing that does not need overlapping...
Localization is one of the most important issues in Wireless Sensor Networks (WSNs). A lot of effort has been devoted to this issue which can be broadly classified into two categories: range-based schemes and range-free schemes. This paper proposes a range-free localization scheme by utilizing mobile anchors. Each mobile anchor is assumed to be able to know its current position with specific hardware...
Efficient sensor localizations are techniques for efficiently identifying sensors' positions for different Wireless Sensor Networks (WSNs) applications (e.g., environmental monitoring). Most existing localization techniques are designed for low scale sensor networks. Moreover, existing localization approaches are mostly range based that use some powerful nodes equipped with expensive GPS and/or extra...
Node localization which is determining where a given node is physically or relatively located is extremely crucial for most of the applications in wireless sensor network. In this article, we review and describe the taxonomy and fundamental localization methods. The current research in WSN localization algorithms are introduced, analyzed and concluded. The point is that no single algorithm performs...
We study the problem of power optimization for object tracking using distributed wireless sensor networks (WSNs). The accuracy of the object tracking is dependent on the tracking time interval. Smaller tracking time interval increases the accuracy of tracking a moving object. However, this increases the power consumption significantly. This paper proposes a modified adaptive sleep time management...
Faults in WSN are very common and appear in different levels of the system. For pervasive applications to be adopted by end-users there is a need for autonomic self-healing. This paper discusses our initial approach to self-healing in WSN and describes experiments with two case studies of body sensor deployment. We evaluate the impact of sensor faults on activity and gesture classification accuracy...
Wireless sensor network (WSN) is widely used in many applications such as localization and real-time tracking system. Previous researches commonly suffer the line-of-sight (LOS) problem and dependence on contrast of the background light intensity. Location fingerprinting (LF) method uses a training dataset of received signal strength (RSS) at different location to track the target. The drawbacks of...
Location information is of utmost importance for most applications in wireless sensor networks. Recent localization schemes have been categorized into range and range-free based techniques. Obvious inclination is towards range free algorithms since they do not rely on special hardware that would be required in range based algorithms. In the most proposed range-free algorithms, nodes estimate their...
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