A Grid-Based Localization Algorithm for Wireless Sensor Networks Using Connectivity and RSS Rank

Wang, Zengfeng; Zhang, Hao; Lu, Tingting; Gulliver, T. Aaron

doi:10.1109/access.2018.2804381

Cited by 21 publications

(10 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A grid-based localization algorithm for sensor networks was proposed in [30]. Each user ranks all the anchor nodes based on RSSI.…”

Section: Localization Based On Connectivity and Rssi Rankmentioning

confidence: 99%

See 1 more Smart Citation

Position Locationing for Millimeter Wave Systems

Kanhere¹,

Rappaport²

2018

2018 IEEE Global Communications Conference (GLOBECOM)

View full text Add to dashboard Cite

The vast amount of spectrum available for millimeter wave (mmWave) wireless communication systems will support accurate real-time positioning concurrent with communication signaling. This paper demonstrates that accurate estimates of the position of an unknown node can be determined using estimates of time of arrival (ToA), angle of arrival (AoA), as well as data fusion or machine learning. Real-world data at 28 GHz and 73 GHz is used to show that AoA-based localization techniques will need to be augmented with other positioning techniques. The fusion of AoA-based positioning with received power measurements for RXs in an office which has dimensions of 35 m by 65.5 m is shown to provide location accuracies ranging from 16 cm to 3.25 m, indicating promise for accurate positioning capabilities in future networks. Received signal strength intensity (RSSI) based positioning techniques that exploit the ordering of the received power can be used to determine rough estimates of user position. Prediction of received signal characteristics is done using 2-D ray tracing.

show abstract

“…A grid-based localization algorithm for sensor networks was proposed in [30]. Each user ranks all the anchor nodes based on RSSI.…”

Section: Localization Based On Connectivity and Rssi Rankmentioning

confidence: 99%

“…All points within a sub-region have the same ordering and hence have identical distance rank vectors. Thus, the user can be localized to one of the many sub-regions in the plane based on the user's RSSI rank vector [30].…”

Section: A the Distance Rank Vectormentioning

confidence: 99%

Position Locationing for Millimeter Wave Systems

Kanhere¹,

Rappaport²

2018

2018 IEEE Global Communications Conference (GLOBECOM)

View full text Add to dashboard Cite

show abstract

“…RSS information can be used to estimate the distance between two nodes. The distance between two nodes is inversely proportional to the received signal strength [15]. The RSS consumes very low energy and is influenced by the environmental factors [16].…”

Section: A Received Signal Strength (Rss)mentioning

confidence: 99%

BDALT: Bilateration and Double Anchor-based Localization Technique for Wireless Sensor Networks using Angle of Arrival (AoA) and Received Signal Strength (RSS) -A Hybrid Technique

Kumar¹,

Prasad²

2019

IJEAT

View full text Add to dashboard Cite

Anchor based localization techniques are better and cost free alternate solutions against GPS based localization techniques in Wireless Sensor Networks (WSN) applications. Anchor based localization techniques using Zigbee technology in WSN have attracted highly in the recent years. As the technology is growing, customers can easily buy the Zigbee technology based beacon nodes at reasonable price. Anchor based wireless sensor networks are used in the localization process because of their advantages in location tracking applications. Many localization systems depend only on RSS and that is not highly reliable, and not accurate. However, the accuracy and the reliability of the network is rather important when it is used in wireless environments. In this paper, a hybrid technique is proposed, which uses not only the RSS as distance estimation parameter, but also the AoA as another angular estimation parameter to improve the localization accuracy. The proposed localization technique uses both the dynamic vectors based localization method, and the bilateration based localization methods to get the target node’s coordinates with good accuracy. The main objective of this research work is to get the accurate location information of the target nodes by using double anchor nodes and simple mathematical computations. The proposed method is simulated in MATLAB and its performance is better than the existing localization techniques.

show abstract

“…The nodes and the BS can be deployed via aerial scattering or physical installation. Assume that each node can obtain its location information through the Global Positioning System (GPS) or a localization scheme [24,25], and all the nodes have the same sensing range R s and same communication range R c . Typically, R c is greater than 2 R s [1].…”

Section: System and Threat Modelsmentioning

confidence: 99%

Public Key-Based Authentication and En-Route Filtering Scheme in Wireless Sensor Networks

Chuanjun

Yang

Dai

et al. 2018

Sensors

View full text Add to dashboard Cite

The existing public key-based en-route filtering schemes are vulnerable to report disruption attacks or selective forwarding attacks, and they fail to consider any measure to detect and punish the malicious nodes. The authors propose a series of public key-based security mechanisms for wireless sensor networks (WSNs) in this paper, including a mechanism for verifying the partial signatures, a substitution mechanism, an effective report forwarding protocol, and a trust value-based mechanism to identify and punish the malicious nodes. Finally, the authors develop a public key-based authentication and en-route filtering scheme (PKAEF), which can resist false data injection attacks, report disruption attacks and selective forwarding attacks, and can mitigate the impact of malicious nodes. Detailed performance analysis and evaluation show that, in most cases, PKAEF outperforms previous works in terms of safety, filtering efficiency, and data availability.

show abstract

A Grid-Based Localization Algorithm for Wireless Sensor Networks Using Connectivity and RSS Rank

Cited by 21 publications

References 28 publications

Position Locationing for Millimeter Wave Systems

Position Locationing for Millimeter Wave Systems

BDALT: Bilateration and Double Anchor-based Localization Technique for Wireless Sensor Networks using Angle of Arrival (AoA) and Received Signal Strength (RSS) -A Hybrid Technique

Public Key-Based Authentication and En-Route Filtering Scheme in Wireless Sensor Networks

Contact Info

Product

Resources

About