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The recent advances in microelectronics and related fields have made the dream of intelligent spaces and objects come true. Reduction of technology costs, powerconsumption and form factor is enabling to exploit increased processing capabilities of sensor nodes and to distribute the intelligence in the environment. In this paper, significant examples of on-going research on smart environments, sensorized...
There are some common problems, such as low location accuracy and low sampling efficiency, existing in the present node localization algorithms that are based on Monte Carlo Localization (MCL) in mobile wireless sensor networks. To improve these issues, a Monte Carlo box localization algorithm based on RSSI(MCBBR) is proposed in this paper. In the algorithm, sampling box was constructed through RSSI...
The importance of location based services (LBS) has largely increased for consumer applications and becoming more and more relevant in industrial applications. For example location dependent information can support occupational safety staff to ensure the safety at work in emergency scenarios. In outdoor environments localization can be obtained easily by using a global navigation satellite system...
Target tracking is one of the broad applications of underwater wireless sensor networks (UWSNs). Sensors of UWSNs are battery-powered and it is impracticable to replace the batteries when exhausted. That means the batteries life affecting the lifetime of whole networks. So, it is worth reducing the energy consumption on the premise of satisfactory tracking accuracy. This paper proposes an adaptive...
There are several diseases which arise because of changes in the microbial communities in the body. Scientists continue to conduct research in a quest to find the catalysts that provoke these changes in the naturally occurring microbiota. Bacterial Vaginosis (BY) is a disease that fits the above criteria. BV afflicts approximately 29% of women in child bearing age. Unfortunately, its causes are unknown...
With rapid improvements in computer and software engineering, collaborative target recognition has become an active area of research in wireless sensor network community. Typically, each sensor node is designed to work using its very restrict battery capacity and limited computational resources, while the base station usually has sufficient energy supply and computational power. Hence, minimizing...
Node localization is one of the most challenging issues in large scale sensor networks. Few bearing-only based methods are used to locate nodes in a large scale system. Existing bearing-only based Semidefinite Programming (BOSDP) method consumes a lot of energy and it may not yield good results if the beacons are placed randomly. Moreover, the BOSDP approach cannot estimate the locations and orientations...
The purpose of this paper is to propose an advanced fingerprint-based indoor localization scheme for wireless sensor networks (WSN) to improve the accuracy. Many localization methods have been introduced for WSN systems using wireless signals mainly divided into two categories, which are range-based and range-free. As wireless ranging is not reliable in indoor environment due to multipath fading and...
An application of using time of flight (TOF) to measure distance between two wireless sensor network (WSN) nodes is explained. Both nodes are identical smart phones. Results show a large accuracy error (106m) but with several avenues for improvement. A discussion of the results and future work follows.
Abstracting sensor capabilities as services is a promising approach to support interoperability and scalability in Internet of Things based applications; however, ranking and selecting these dynamic and large number of real-world services in real-time is a challenging problem, which involves decision making in the presence of multiple criteria. This paper demonstrates an application of the Primitive...
The accurate node location is necessary for wireless sensor network applications in both the military and civilian areas. In this paper, we use the Cramer-Rao Bound (CRB) to verify that node localization algorithms based on received signal strength (RSS) and time of arrival (TOA) are both reasonable. The varying number of blindfolded nodes as well as the hybrid of RSS and TOA ranging methods are used...
In order to achieve an accurate location of unknown nodes in complex three-dimensional wireless sensor networks, in this paper, a new localization algorithm based on anchor optimization is presented. Resorting to virtual force theory, it redeploys the anchor nodes deployed randomly within a certain area to engender a good coverage state, and then uses the DV-Hop algorithm to locate the unknown nodes...
We develop a light utility-oriented placement of actuator nodes (LUOPAN) for wireless sensor/actuator networks (WSAN) to spread serving duties among actuator nodes (ANs). Through appropriate placement of ANs and allocation of serving duties, system deployment cost can be reduced, and the system longevity can be improved. By considering utility consumption and geographic distribution of required services,...
One of the primary energy consumers in buildings are the Heating, Ventilation, and Air-Conditioning (HVAC) systems, which usually operate on a fixed schedule, i.e., running from early morning until late evening during the weekdays. This fixed operation schedule does not take the dynamics of occupancy level in the building into consideration, therefore may lead to waste of energy. An estimate of the...
This paper constructs a redundant dictionary using neural spike signals and uses a compressed sensing method to compress and reconstruct neural signals, which are cut into several segments of same length. By analyzing neural signals with different signal to noise ratios (SNRs), different types of spikes and different spike widths, we verify the performance of the method. Results show that, when the...
Localization of wireless node is a key feature in many applications. Traditional localization has exploited the signal runtime between “agent” nodes that are to be localized and a set of “anchor” nodes with known position. Recently, cooperative localization that also uses runtime measurement between agent nodes has been shown to provide superior performance. This paper analyzes the optimum power and...
Wireless Sensor Networks (WSN) continue their tremendous growth acceleration. WSNs have found their way into a wide range of domains, from military and transportation applications to medical and environmental monitoring. Some of these applications can include a very large number of nodes, which poses significant challenges to network lifetime, data transmission, and overall reliability. Recently,...
In this paper, we study the sensor selection problem for parameter estimation in wireless sensor networks (WSNs) to minimize the energy consumption with guaranteed quality of estimation. We adopt the Best Linear Unbiased Estimator (BLUE) as the fusion algorithm, and the Mean Squared Error (MSE) criterion to measure the quality of estimation. We formulate the problem as a constrained optimization problem,...
Wireless sensor network (WSN) is a typical application of Ad hoc network in autonomous system (AS). It has attracted considerable attention in the past. Recent years have witnessed a growing interest in the study of localization algorithm for WSN. Self-localization of nodes is one of the key technologies for application of WSN. The localization accuracy is a significant criterion to evaluate the practical...
Accuracy of location determination is one of the keys to success of any indoor positioning system. This performance metric is influenced by how reference nodes (RNs) are installed. However, most of existing research studies ignored the problem of optimal reference node placement and efficient system design for indoor positioning systems. In this paper, we propose an optimization technique that can...
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