ZigBee-based wireless sensor networks for monitoring animal presence and pasture time in a strip of new grass

Nadimi, Esmaeil S.; Søgaard, H. T.; Bak, Thomas; Oudshoorn, Frank W.

doi:10.1016/j.compag.2007.09.010

Cited by 96 publications

(47 citation statements)

References 16 publications

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“…Significant research efforts have been devoted towards improving WSN architectures, accuracy, efficiency and operations [1][2][3][4][5]. Many new applications have also emerged [6][7][8][9][10][11]. The development of the standards for short range wireless communication has made the implementation of WSN systems, co-existence with other wireless devices and, interoperability, much easier than before.…”

Section: Introductionmentioning

confidence: 99%

Signal Propagation Analysis for Low Data Rate Wireless Sensor Network Applications in Sport Grounds and on Roads

Ndzi¹,

Arif²,

Shakaff³

et al. 2012

PIER

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Abstract-This paper presents results of a study to characterise wireless point-to-point channel for wireless sensor networks applications in sport hard court arenas, grass fields and on roads. Antenna height and orientation effects on coverage are also studied and results show that for omni-directional patch antenna, node range is reduced by a factor of 2 when the antenna orientation is changed from vertical to horizontal. The maximum range for a wireless node on a hard court sport arena has been determined to be 70 m for 0 dBm transmission but this reduces to 60 m on a road surface and to 50 m on a grass field. For horizontal antenna orientation the range on the road is longer than on the sport court which shows that scattered signal components from the rougher road surface combine to extend the communication range. The channels investigated showed that packet error ratio (PER) is dominated by large-scale, rather than small-scale, channel fading with an abrupt transition from low PER to 100% PER. Results also show that large-scale received signal power can be modeled with a 2nd order log-distance polynomial equation on the sport court and road, but a 1st order model is sufficient for the grass field. Small-scale signal variations have been found to have a Rice distribution for signal to noise ratio levels greater than 10 dB but the Rice K-factor exhibits

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Section: Introductionmentioning

confidence: 99%

Signal Propagation Analysis for Low Data Rate Wireless Sensor Network Applications in Sport Grounds and on Roads

Ndzi¹,

Arif²,

Shakaff³

et al. 2012

PIER

View full text Add to dashboard Cite

show abstract

“…have been very important for viticulture (Morais et al, 2008. Furthermore, precision livestock using WSNs has been used to a) maintain animal health by monitoring environment of barns (Cugnasca et al, 2008, Darr andZhao, 2008) and b) manage cow herds in a virtual moving fence to control pasture area (Butler et al, 2004, Nadimi et al, 2008.…”

Section: Figure 2: Sensor Node Architecturementioning

confidence: 99%

The impact of agricultural activities on water quality: A case for collaborative catchment-scale management using integrated wireless sensor networks

Zia¹,

Harris²,

Merrett³

et al. 2013

Computers and Electronics in Agriculture

123

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Abstract-The challenge of improving water quality is a growing global concern, typified by the European Commission Water Framework Directive and the United States Clean Water Act. The main drivers of poor water quality are economics, poor water management, agricultural practices and urban development. This paper reviews the extensive role of non-point sources, in particular the outdated agricultural practices, with respect to nutrient and contaminant contributions. Water quality monitoring (WQM) is currently undertaken through a number of data acquisition methods from grab sampling to satellite based remote sensing of water bodies. Based on the surveyed sampling methods and their numerous limitations, it is proposed that wireless sensor networks (WSNs), despite their own limitations, are still very attractive and effective for real-time spatio-temporal data collection for WQM applications. WSNs have been employed for WQM of surface and ground water and catchments, and have been fundamental in advancing the knowledge of contaminants trends through their high resolution observations. However, these applications have yet to explore the implementation and impact of this technology for management and control decisions, to minimize and prevent individual stakeholder's contributions, in an autonomous and dynamic manner. Here, the potential of WSN-controlled agricultural activities and different environmental compartments for integrated water quality management is presented and limitations of WSN in agriculture and WQM are identified. Finally, a case for collaborative networks at catchment scale is proposed for enabling cooperation among individually networked activities/stakeholders (farming activities, water bodies) for integrated water quality monitoring, control and management.Index Terms-wireless sensor networks, agricultural activities, water quality monitoring and management, catchment, collaborative. INTRODUCTIONWater is a key natural resource which is vital for the survival of all ecosystems on the planet. However, less than 1% of the earth's water resources are accessible to humans as fresh water, in the form of either surface or ground water (Krchnak et al., 2002, UNESCO, 2006. Although there is currently sufficient water for essential activities (Blanco et al., 2009) including drinking, irrigation, and domestic and industrial use on a global scale, the spatial distribution of water suggests that, in many cases, it is not available where it is required. Because of the unequal distribution of fresh water resources, billions of people around the globe live in water-stressed and water-limited environments. Therefore it is crucial to preserve water resources although in practice it is continually degraded and depleted owing to inappropriately targeted funding initiatives leading to poor water management, redundant and outdated agricultural practices and urban development (Rosegrant et al., 2002, Verhoeven et al., 2006. The key issues relating to global freshwater quality problems in the environment and public hea...

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“…Many other new applications have also emerged for WSN [8][9][10][11][12][13][14]. The key challenges in WSN deployment is in optimizing power consumption, maintaining connectivity and reducing interference.…”

Section: Introductionmentioning

confidence: 99%

Signal Propagation in Aquaculture Environment for Wireless Sensor Network Applications

Harun¹,

Ndzi²,

Ramli³

et al. 2012

PIER

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Abstract-This paper presents results of signal propagation studies for wireless sensor network planning in aquaculture environment for water quality and changes in water characteristics monitoring. Some water pollutants can cause widespread damage to marine life within a very short time period and thus wireless sensor network reliability is more critical than in crop farming. This paper shows that network coverage models and assumptions over land do not readily apply in tropical aquaculture environment where high temperatures are experienced during the day. More specifically, due to high humidity caused by evaporation, network coverage at 15 cm antenna height is better than at 5 m antenna heights due to the presence of a superrefraction (ducting) layer. For a 69 m link, the difference between the signal strength measured over several days is more than 7 dBm except under anomaly conditions. In this environment, the two-ray model has been found to provide high accuracy for signal propagation over water where there are no objects in close proximity to the propagation path. However, with vegetation in close proximity, accurate signal variation predication must consider contributions from scattered and diffused components, taking into account frequency selective fading characteristics to represent the temporal and spatial signal variations.

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ZigBee-based wireless sensor networks for monitoring animal presence and pasture time in a strip of new grass

Cited by 96 publications

References 16 publications

Signal Propagation Analysis for Low Data Rate Wireless Sensor Network Applications in Sport Grounds and on Roads

Signal Propagation Analysis for Low Data Rate Wireless Sensor Network Applications in Sport Grounds and on Roads

The impact of agricultural activities on water quality: A case for collaborative catchment-scale management using integrated wireless sensor networks

Signal Propagation in Aquaculture Environment for Wireless Sensor Network Applications

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