Tracking objects using hexagons in sensor networks

Wang, S.-H.; Chang, Ruay-Shiung; Tsai, Shih-Yu

doi:10.1049/iet-wss.2011.0127

Cited by 3 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hexagon centres define possible positions of the deployed sensor node. The main reason for choosing the hexagon is that the honeycomb structure provided by hexagons allows entire coverage of regions of interest, better than triangles and quadrilaterals [25, 26]. In addition, the sensor node's movement is constrained to the six neighbouring hexagons around its current position.…”

Section: Methodsmentioning

confidence: 99%

Location prediction optimisation in WSNs using Kriging interpolation

Ali

Ikpehai

Adebisi

et al. 2016

IET wirel. sens. syst.

View full text Add to dashboard Cite

Many wireless sensor network (WSN) applications rely on precise location or distance information. Despite the potentials of WSNs, efficient location prediction is one of the subsisting challenges. This paper presents novel prediction algorithms based on a Kriging interpolation technique. Given that each sensor is aware of its location only, the aims of this work are to accurately predict the temperature at uncovered areas and estimate positions of heat sources. By taking few measurements within the field of interest and by using Kriging interpolation to iteratively enhance predictions of temperature and location of heat sources in uncovered regions, degree of accuracy is significantly improved. Following a range of independent Monte Carlo runs in different experiments, it is shown through a comparative analysis that proposed algorithm delivers approximately 98% prediction accuracy.

show abstract

Section: Methodsmentioning

confidence: 99%

Location prediction optimisation in WSNs using Kriging interpolation

Ali

Ikpehai

Adebisi

et al. 2016

IET wirel. sens. syst.

View full text Add to dashboard Cite

show abstract

“…The hexagonal cell-based dissemination routing protocols [8] have been proposed by S. Wang, et al, This routing protocol is also based on the virtual infrastructure for the wireless sensor networks. In this routing protocols, the source/transmission sensor nodes are having the positions aware and stationary nodes.…”

Section: Related Workmentioning

confidence: 99%

Energy-eﬀicient virtual infrastructure based geo-nested routing protocol for wireless sensor networks

Varadharajan¹,

Gopalakrishnan²,

Varadharajan³

et al. 2021

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

“…We only consider a single signal being reflected off the target. An energy efficient communication protocol to track objects by splitting space in hexagons is considered in [28]. Aside from using RSSI to locate an object within a network of wireless devices, one might use deliberate interference [10], i.e.…”

Section: Related Workmentioning

confidence: 99%

Robust speed measurements with standard wireless devices

Schneider

Caracaş

2017

IET wirel. sens. syst.

View full text Add to dashboard Cite

Speed measurements are crucial for controlling traffic and in supporting automation of industrial processes. The speed of moving objects is typically measured from a stationary position using time-of-flight or the Doppler effect. Existing approaches require either relatively bulky physical devices or complex signal processing. The authors propose a new method for measuring the speed of (metal) objects moving on a fixed track. The authors' method is applicable, e.g. to cars on a road, trains on rails, or goods sliding on a conveyor belt. The method relies on the constructive and destructive interference patterns created by the reflections from the moving target. Speed is determined by measuring the signal strength of received messages as perceived by standard wireless devices. The method requires only minimal signal processing and only two commodity wireless transceivers, which are independent of the moving target. The advantages of their system compared to other technologies are reduced size, reduced cost, and in some scenarios robustness.

show abstract

Tracking objects using hexagons in sensor networks

Cited by 3 publications

References 16 publications

Location prediction optimisation in WSNs using Kriging interpolation

Location prediction optimisation in WSNs using Kriging interpolation

Energy-eﬀicient virtual infrastructure based geo-nested routing protocol for wireless sensor networks

Robust speed measurements with standard wireless devices

Contact Info

Product

Resources

About