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Location-awareness plays an important role in Wireless Sensor Networks (WSNs) by aiding in tasks such as packet routing, event mapping, and energy savings. The use of Global Positioning System (GPS) on sensor nodes is not always viable due to a number of issues, e.g., power constraints. Location estimation solves the problem of computing sensor node positions by using information from devices that...
Localization is a highly important topic in wireless sensor networks as well as in many Internet of Things applications. Many current localization algorithms are based on the Sequential Monte Carlo Localization method (MCL), the accuracy of which is bounded by the radio range. High computational complexity in the sampling step is another issue of these approaches. We present Tri-MCL which significantly...
A localization method for mobile sensor networks is presented in this paper. In order to reduce localization errors, the artificial bee colony (ABC) algorithm is used to refine the estimated coordinates. The fundamental concept of the ABC algorithm is to find better feasible solution (food source) from food sources in the specific space. Using the idea, this paper study integrates the ABC algorithm,...
Over the past decade, wireless sensor networks (WSNs) have gained more research attention for their potential applications in, e.g., healthcare, defence and environmental monitoring. However, limited channel capacity and battery life of sensors are the main design challenges in WSNs. The use of cooperative multiple-input multiple-output (MIMO) technology is one of the most promising techniques that...
Localization is considered as an important parameter in wireless sensor network where it support the node to identify its location so that routing can take place in power efficient way in a dynamic network topology. The issue of localization has been addressed in many research areas such as vehicle navigation systems, virtual reality systems, user localization in wireless sensor networks (WSNs). The...
Navigation is a challenging task for underwater devices, as there is no global navigation system available. This often restricted Autonomous Underwater Vehicles (AUV) in their operations, either spatially because they depend on reference markers that need to be deployed on the mission side, or by dive time as they need to surface regularly to geo-reference themselves via satellite. For most applications...
Localisation in wireless sensor network is the process of determining the geographical location of the sensor nodes. Conventional localization is space oriented which uses GPS (Global Positioning System) signal to obtain the location information of the nodes. But the GPS signals fail to work in indoor environments, the reason for which it becomes mandatory to opt for terrestrial localisation. The...
The rapid development of wireless communication technologies and portable mobile devices such as laptops, PDAs, smart phones and wireless sensors brings the best out of mobile computing particularly mobile ad-hoc and sensor networks. Nowadays, most of researchers working on Wireless Sensor Networks (WSNs) focus on Mobile Ad-hoc and Sensor Networks (MASNETs) due to their wide range of potential applications...
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...
Localization in Wireless Sensor Networks (WSNs) denotes the procedure of a single sensor node to determine its geographical position in space. As these nodes are limited in computational power, battery lifetime and communication range, there is the requirement for efficient localization algorithms which is an ongoing topic in research. Nearly all algorithms are based on the usage of seed nodes which...
A distributed localization scheme based on mobility prediction for mobile underwater wireless sensor networks is proposed. Anchor nodes perform self-localization and mobility prediction, and serve as reference nodes to localize ordinary nodes. According to the group movement properties of underwater objects, ordinary nodes perform self-localization by utilizing the neighboring nodes' locations and...
A wireless sensor network (WSN) is designed to perform event detection, data collection, and reporting such data to a monitoring station. In many cases, it is necessary to know the location of sensor nodes to relate the detection of the event at a specific location. However, the geographical location of the sensor nodes in most applications can only be set after their deposition in the area of interest...
This paper solves the problem of localization of mobile node in mixed line-of-sight/non-line-of-sight (LOS/NLOS) environments. To improve the localization accuracy, a parallel Kalman filtering algorithm is proposed to locate the robot mobile node. This algorithm consists of two steps: We firstly calculate the LOS/NLOS mode probabilities, then the proposed algorithm combines the estimation results...
The main challenge of indoor wireless positioning is the large positive bias of non-line-of-sight (NLOS) ranging, which directly degrades the localization accuracy. It is necessary for a practical positioning algorithm to learn the specific of indoor ranging from statistics. Thus, we analyze the ranging characteristics based on real-world indoor experiments with both static and mobile cases, which...
Node localization is one of the important issues in wireless sensor networks. In order to lower the cost of a sensor network and improve localization accuracy and efficiency, we put forward a virtual cluster based mobile beacon aided localization algorithm (VCMBLA) in this paper. A multi-hop distance estimation method based on neighbor distribution (MDEND) is presented and a path planning strategy...
Powered by digital transmission advances in recent years, wireless sensor networks (WSNs) are beginning to experience a boom in different areas. Of special interest are those applications offering real-time tracking and monitoring of objects in motion, both indoors and outdoors. A WSN can have a large number of nodes, each with multiple neighbor nodes. These nodes work together to create a self-configuring...
Wireless sensor networks (WSN) are extensively applied in civil and military areas. Localization is an essential prerequisite for many WSN applications, and is often based on beacons that provide geographical information in real time. Mobile Beacons (MB) can be used to replace many static beacons with paths that can be controlled in real-time. Robotic and/or flight vehicles can work as MBs. In this...
It is a significant application of wireless sensor networks to monitor a mobile target. Multiple sensor nodes cooperate to get an accurate estimation of the signal of the mobile target. Spatial correlation, induced by the spatial distribution of target and sensor nodes, is an inherent phenomenon of wireless sensor networks. This correlation causes redundancy amongst nodes which create redundant information...
A particle filter is a sequential Monte Carlo method that is superior in estimating the state of a dynamic system under nonlinear/non-Gaussian circumstance. Due to its nature, a particle filter has been regarded as an appropriate algorithm for localization. However, conventional problems, such as sample impoverishment and degeneracy problem, have not been perfectly solved yet. To solve these problems...
In this paper, we present a novel algorithm for improving localization results of unknown wireless nodes (a.k.a. unknowns or mobile nodes). Our proposed solution, Groupwise Universal Improvement Scheme (G-UnIS), is based on additional information about the a priori known distances between mobile nodes. We show with the simulation results that our method can enhance the accuracy of location estimation...
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