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Distance measurement between nodes in wireless sensor networks is a prerequisite for a variety of applications and algorithms. However, special hardware allowing such measurements is expensive, especially if dealing with hundreds or thousands of nodes. Fekete et al. presented an approach on distance estimation based on only the neighborhood information available to all nodes in the network. We improve...
This paper compares methods of localization in order to try and reduce the processing overhead of optimal multi-lateration whilst still achieving close to its accuracy. Three methods of localization are examined, firstly optimal multi-lateration (OML), which provides the benchmark in terms of accuracy achievable. Secondly sub-optimal blind trilateration (SBT) which randomly selects the minimum feasible...
Active rangefinders used for measurement of longer distances of objects (targets), e.g. pulsed laser rangefinders, emit radiant energy, being in conflict with hygienic restrictions in various applications. Having been applied in security and military area there is a serious defect: irradiation can be detected by target. Used passive optoelectronic rangefinders (POERF) can fully eliminate mentioned...
An ultrasound indoor localisation system typically comprises an infrastructure formed by a plurality of fixed nodes, so called beacons. By ultrasound time of flight measurements, the range between a mobile node and some of the fixed beacons at known positions is detected. Given a minimum of 3 such range measurements, the position of the mobile node can be determined by trilateration. To achieve good...
Distributed localization algorithm continues to be an important and challenging topic in today's wireless sensor networks (WSNs). The accurate estimations of distances among nodes are premises for the accurate estimations of node positions. In this paper, we propose some schemes towards the DV-Hop algorithm to improve the distance estimations. These improvements are based on accurate analysis of hop...
The goal of this paper is to investigate how accuracy and efficiency of MLFMM of a given level depends on the order of approximation. We performed this investigation using a corner scatterer of side 20 lambda as a benchmark. We chose this model because its RCS results show several distinctive lobes in specific directions and at different levels, calculation of which is challenging even for direct...
The sensor network localization problem with distance information is to determine the positions of all sensors in a network given the positions of some sensors and the distances between some pairs of sensors. We present a sequential algorithm for estimating sensor positions when only inaccurate distance measurements are available, and evaluate the performance of the algorithm on simulations of randomly...
The number of active nodes in a WSN deployment governs both the longevity of the network and the accuracy of applications using the network's data. As node hibernation techniques become more sophistocated, it is important that an accurate evaluation methodology is employed to ensure fair comparisons across different techniques. Examining both energy and accuracy ensures a claim of increased longevity...
Action recognition is a crucial task to provide high-level semantic description of the video content, particularly in the case of sports videos. The bag-of-words (BoW) approach has proven to be successful for the categorization of objects and scenes in images, but it's unable to model temporal information between consecutive frames for video event recognition. In this paper, we present an approach...
An optimization algorithm based on artificial life algorithm and particle swarm optimization (PSO) is proposed. The optimization includes two stages. In the first stage, artificial life system is created. As artificial life organisms have a sensing system, they can find the resource they want and metabolize it. The micro-interaction with each other in the artificial life's group results in emergent...
Currently, the Civil Aviation Administration of China (CAAC) is developing a promising new surveillance technology Automatic Dependent Surveillance-Broadcast (ADS-B) in western China, with the aim of resolving the lack of surveillance methods there caused by the complex terrain and costly maintenance. By virtue of ADS-B technology, more timely, accuracy and abundant information about aircraft could...
As to the deficiency of classic MDS-MAP algorithm from the perspective of positioning accuracy and matrix complexity, this paper proposes a distributed MDS for WSNs. This algorithm uses the method of distance quantification to obtain the close-neighbor vector (CNV), then calculates the distance matrix D, and gets the initial value of nodes locations through the distributed algorithm, finally, uses...
With ever more increases in both storage and computational power, mining data in real time has become more and more practical and rapidly consumed a large fraction of research works on data streams. Particularly for time series data, subsequence matching under dynamic time warping (DTW) distance has proven to work exceptionally well, but with higher time and space complexities, thus posing a much...
During emergency response to mass casualty disasters, one of the main logistic impediments faced by the On-site Organizational Chief (OOC) is to track the patients at the disaster site. We had proposed our previous work a new system based on a location aware wireless sensor network (WSN) to overcome these impediments and assist the responders in providing efficient emergency response. In this paper...
An appropriate pre-processing algorithm in classification is not only of great importance with respect to classifier choice, but also would be more crucial. In this paper, a pre-processing step is proposed in order to increase accuracy of classification. The aim of this approach is finding a transformation matrix causes classes to be more discriminable by transforming data into the new space and consequently,...
In this paper we present a novel approach using constraint based techniques for world modeling, i.e. self localization and object modeling. Within the last years, we have seen a reduction of landmarks such as beacons or colored goals within the RoboCup domain. Using other features as line information becomes more important. Using such sensor data is tricky, especially when the resulting position belief...
Fixed relaying is a concept which is becoming mature within the research community due to the advantages that it can provide for future network deployments. Mobile relaying, an extension of the fixed relaying concept, has lately been investigated to highlight a possible framework for its deployment alongside fixed relay strategies. This paper aims to present the way that mobiles relays can be used...
The ever increasing scale and complexity of large computational systems ask for sophisticated management tools, paving the way toward autonomic computing. A first step toward autonomic grids is presented in this paper; the interactions between the grid middleware and the stream of computational queries are modeled using statistical learning. The approach is implemented and validated in the context...
The final precision achieved by a wireless location system depends basically on the accuracy of the range estimates and on the geometric distribution between anchors and target, being the second issue easier to manage in the design of a wireless location system. The results related to the impact of the geometric distribution, addressed for GNSS location systems, cannot be used directly to other wireless...
An accurate real-time application which locates mobile users in an indoor environment is highly demanded in hospitals, warehouses, etc., provided that minor changes in their infrastructure are required. Most present-day location techniques require a great calibration effort, or special devices which are not cost-effective. Avoiding these needs, this paper implements an autonomous positioning technique...
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