Low power location protocol based on ZigBee Wireless Sensor Networks

Bras, Luis; Oliveira, Marco; Carvalho, Nuno Borges; Pinho, Pedro

doi:10.1109/ipin.2010.5647869

Cited by 13 publications

(6 citation statements)

References 10 publications

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“…[12]) and allow sensor node implementation with considerable savings in battery life. In addition to the ZigBee radio transceiver, other SoCs implement the Bluetooth radio stack [13] or the Wi-Fi WLAN IEEE 802.11 specification, such as the Atheros WLAN card with the AR5212 chipset [14] or the Prism2 and Prism54 chipsets [15] which provide robust radio links between all sensor nodes and low power consumptions.…”

Section: A Low Power Wsn Architecturesmentioning

confidence: 99%

Review and Comparison of Spatial Localization Methods for Low-Power Wireless Sensor Networks

Iliev

Paprotny

2015

IEEE Sensors J.

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Spatial localization (co-location) of nodes in wireless sensor networks (WSNs) is an active area of research, with many applications in sensing from distributed systems such as micro-aerial vehicles, smart dust sensors, and mobile robotics. This paper provides a comprehensive review and comparison of recent implementations (commercial and academic) of physical measurement techniques used in sensor localization, and of the localization algorithms that apply these measurement techniques. Physical methods for measuring distances and angles between WSN nodes are reviewed, followed by a comprehensive comparison of localization accuracy, applicable ranges, node dimensions, and power consumption of the different implementations. A summary of advantages and disadvantages of each measurement technique is provided along with a comparison of co-localization methods in WSNs across multiple algorithms and distance ranges. A discussion of possible improvements to accuracy, range, and power consumption of selected self-localization methods is included in the concluding discussion. Although the preferred implementation depends on the application, required accuracy, and range, passive optical triangulation is reported as the most energy efficient localization method for low-cost/low-power miniature sensor nodes. It is capable of providing micron-level resolution, however the applicable range (inter-node distance) is limited to single centimeters.1530-437X (c) 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/JSEN.2015.2450742, IEEE Sensors Journal SUBMITTED TO THE IEEE SENSORS JOURNAL 2 on 2.4 GHz radios are: Nordic Semiconductor nRF24L01 transceiver [16] with consumed power from 345 µW to 2.4 mW depending on the refresh rate of the location task, ZigBee Texas Instruments SoC CC2430 radio transceiver [12] with 10 mW to 40 mW consumption depending on implementation, RF Telosb transceivers [17] with consumption from 35 mW to 41 mW depending on the activity profile, and finally on custom radios for IEEE 802.15.4 build from digital ASIC standard cells technology [18] with power consumption of 15.6 mW at 0 dB output power. The communication system is used by a sensor node to perform its message-based self-localization task as well as for broadcasting the basic data collected by the sensor. Communication systems based on ultrasound waves have not been attempted due to the directional dependence of acoustic signals and their dependence on air temperature and humidity. Optical communication between sensors in WSN has been implemented recently using low-power laser diode emitters and detectors [19], modulating Corner-Cube Reflectors (CCR) [20], MEMS CCR arrays [21], MEMS steering mirors (gold coated, refl...

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Section: A Low Power Wsn Architecturesmentioning

confidence: 99%

Review and Comparison of Spatial Localization Methods for Low-Power Wireless Sensor Networks

Iliev

Paprotny

2015

IEEE Sensors J.

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“…Bras et al [35] proposed a ZigBee location protocol based on WSN. The main objective of this approach is to reduce power consumption.…”

Section: Location Sensing Systemsmentioning

confidence: 99%

Onto scalable wireless ad hoc networks: Adaptive and location-aware clustering

Conceição

Curado

2013

Ad Hoc Networks

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Clustering is a widely used solution to provide routing scalability in wireless ad hoc networks. In the literature, clustering schemes feature different characteristics and purposes, however few schemes are context-aware. This work proposes a new solution called Distributed and Location-aware Clustering (DiLoC), a clustering scheme designed to operate in indoor environments, providing mechanisms to gather context location information in order to ease the maintenance of clusters, thus resulting in a stabler network topology in order to provide a scalable network topology for an efficient routing. DiLoC considers three distinct approaches, regarding the characteristics of the deployment environment, aiming to cover infrastructure-less, infrastructure and hybrid network scenarios. DiLoC was evaluated and compared with a similar clustering scheme, featuring the stability, amount of clustered nodes and network load. Included results demonstrate a scalable algorithm with a significant high stability.

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“…There are many reported algorithms [1] [6] [7] for space positioning based on ZigBee. Although, for indoor environment, precision of these algorithms is poor, leading to the use of more complex algorithms [8]. Among the most well known, we can refer to detection by nearest neighborhood (k-nearest neighbor-KNN) [8] [9] and neural networks [10].…”

Section: Introductionmentioning

confidence: 99%

“…Although, for indoor environment, precision of these algorithms is poor, leading to the use of more complex algorithms [8]. Among the most well known, we can refer to detection by nearest neighborhood (k-nearest neighbor-KNN) [8] [9] and neural networks [10]. In this paper we proposed a system design which realized the automatic 3D positioning control based on ZigBee communication system using the least nodes.…”

Section: Introductionmentioning

confidence: 99%

Design of 3D Space Following Positioning System Based on ZigBee

Zhang¹,

Li²,

Zhu³

et al. 2015

JAMP

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The research on positioning system and spatial alignment is a big topic. In this paper, we proposed a design (that) studies two issues. One is the study of range positioning algorithm based on ZigBee communication system. The other one is spatial alignment platform which is controlled with two servos. Hardware and software control system was realized, which also consists of two parts, Zig-Bee network positioning system and automatic orientation platform.

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Low power location protocol based on ZigBee Wireless Sensor Networks

Cited by 13 publications

References 10 publications

Review and Comparison of Spatial Localization Methods for Low-Power Wireless Sensor Networks

Review and Comparison of Spatial Localization Methods for Low-Power Wireless Sensor Networks

Onto scalable wireless ad hoc networks: Adaptive and location-aware clustering

Design of 3D Space Following Positioning System Based on ZigBee

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