A New Approach to Sensor Node Localization Using RSS Measurements in Wireless Sensor Networks

Wang, Gang; Yang, Kehu

doi:10.1109/twc.2011.031611.101585

Cited by 222 publications

(138 citation statements)

References 16 publications

Supporting

Mentioning

135

Contrasting

Unclassified

Order By: Relevance

“…There are other algorithms in the literature for the localization problem in WSNs. Most of them evolves from the APS and RPE algorithms by focusing on specific features of some scenarios [12][13][14][15][16]. For instance, [14] use a heterogeneous topology, where the beacon nodes have a powerful communication range.…”

Section: Localization Algorithmsmentioning

confidence: 99%

An energy efficient joint localization and synchronization solution for wireless sensor networks using unmanned aerial vehicle

et al. 2014

View full text Add to dashboard Cite

Localization and synchronization are fundamental services for many applications in wireless sensor networks (WSNs), since it is often required to know the sensor nodes' position and global time to relate a given event detection to a specific location and time. However, the localization and synchronization tasks are often performed after the sensor nodes' deployment on the sensor field. Since manual configuration of sensor nodes is usually an impractical activity, it is necessary to rely on specific algorithms to solve both localization and clock synchronization problems of sensor nodes. With this in mind, in this work we propose a joint solution for the problem of 3D localization and time synchronization in WSNs using an unmanned aerial vehicle (UAV). A UAV equipped with GPS flies over the sensor field broadcasting its geographical position. Therefore, sensor nodes are able to estimate their geographical position and global time without the need of equipping them with a GPS device. Through simulation experiments, we show that our proposed joint solution reduces time synchronization and localization errors as well as energy consumption when compared to solutions found in the literature.

show abstract

Section: Localization Algorithmsmentioning

confidence: 99%

An energy efficient joint localization and synchronization solution for wireless sensor networks using unmanned aerial vehicle

et al. 2014

View full text Add to dashboard Cite

show abstract

“…A number of methods for cooperative localization has been proposed, but most of them are adapted for the localization in static networks [6,7,8,9,10,11,12]. Repeating these static localization algorithms can provide location estimates in mobile networks, but this approach is suboptimal due to the lack of additional information provided by the mobility of the sensor nodes.…”

Section: Related Workmentioning

confidence: 99%

“…Some works already take this information into account, for example [13,14,15,16,17]. Moreover, the goal of most localization methods [6,8,11,12,13] is just to estimate the position of all the target nodes, without associated uncertainty. Since the uncertainty of the estimate is crucial for most applications, a Bayesian approach [9,10,16] can be applied.…”

Section: Related Workmentioning

confidence: 99%

“…Since the samples of the distance can be measured by each node (prior to localization) and stored into memory, they should not be transmitted. The samples of the angles are drawn from the uniform distribution (see (11)), so they can be computed at the destination. Thus, only particles of the beliefs, which are not available at the destination node, have to be transmitted.…”

Section: Broadcasting Beliefsmentioning

confidence: 99%

See 1 more Smart Citation

Cooperative localization in mobile networks using nonparametric variants of belief propagation

Savic¹,

Zazo²

2013

Ad Hoc Networks

View full text Add to dashboard Cite

Of the many state-of-the-art methods for cooperative localization in wireless sensor networks (WSN), only very few adapt well to mobile networks. The main problems of the well-known algorithms, based on nonparametric belief propagation (NBP), are the high communication cost and inefficient sampling techniques. Moreover, they either do not use smoothing or just apply it offline. Therefore, in this article, we propose more flexible and efficient variants of NBP for cooperative localization in mobile networks. In particular, we provide: i) an optional 1-lag smoothing done almost in real-time, ii) a novel low-cost communication protocol based on package approximation and censoring, iii) higher robustness of the standard mixture importance sampling (MIS) technique, and iv) a higher amount of information in the importance densities by using the population Monte Carlo (PMC) approach, or an auxiliary variable. Through extensive simulations, we confirmed that all the proposed techniques outperform the standard NBP method.

show abstract

“…Gang Wang [9] WLS approach is used for RSS-based localization in sensor networks. The WLS solution is used as a starting point for any local search routine to estimate the corresponding ML solution.…”

Section: Introductionmentioning

confidence: 99%

Non-Line-Of-Sight Environment based Localization in Wireless Sensor Networks

Divya¹,

Gunasundari²

2014

IJCA

View full text Add to dashboard Cite

This paper presents the node localization under Non-Line-ofSight conditions in wireless sensor networks. Consider the static blind sensor and mobile anchor nodes are in random deployment. Each of the sensor nodes determines its own position by itself is called localization. Obstacles blocking between the direct paths, called as Non-Line-Of-Sight (NLOS), which causes NLOS error. The propagation of this error results in unreliable localization and significantly decreases localization accuracy. It is an important research topic because position information is a major requirement in many WSN applications. Localization algorithms are used to find the position information of nodes in wireless sensor networks (WSNs). In the proposed work, Range Map Stitching (RMS) algorithm is used. This method can provide good localization accuracy and energy efficiency by mitigating the effects of NLOS measurements.

show abstract

A New Approach to Sensor Node Localization Using RSS Measurements in Wireless Sensor Networks

Cited by 222 publications

References 16 publications

An energy efficient joint localization and synchronization solution for wireless sensor networks using unmanned aerial vehicle

An energy efficient joint localization and synchronization solution for wireless sensor networks using unmanned aerial vehicle

Cooperative localization in mobile networks using nonparametric variants of belief propagation

Non-Line-Of-Sight Environment based Localization in Wireless Sensor Networks

Contact Info

Product

Resources

About