Quantifying short-range surface-to surface communications links

Merrill, William; Liu, H.L.N.; Leong, J.; Sohrabi, K.; Pottie, Gregory J.

doi:10.1109/map.2004.1374086

Cited by 23 publications

(11 citation statements)

References 9 publications

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“…Large path-loss exponents (ν = 4) allows for a more efficiently exploitation of spatial reuse so that delivery delay is smaller if compared to milder fading scenarios (ν = 3). Path loss exponent ν = 4 typically models the propagation of signals between sensors close coupled to ground [17] as for seismic exploration applications. At bottom of Fig.…”

Section: B Communication System Designmentioning

confidence: 99%

Energy-aware compress and forward systems for wireless monitoring of time-varying fields

Savazzi

Molteni

Spagnolini

2010

21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

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Abstract-Dense monitoring of time-varying 2D field by Wireless Sensor Networks (WSN) needs to define new strategies to aggregate and encode data according to 2D sensor deployments. In this paper optimal design of communication protocol for WSN is conveniently cast for a set of linear sensor networks (sensor arrays) monitoring a correlated 2D time-varying field. Data is synchronously acquired by each sensor and routed towards the sink node for data fusion. Delay constraints are imposed by realtime data delivery (e.g., for tracking time variations). Sensors aggregate data hop-by-hop by compressing the new samples gathered from the sensor board and forwarding towards the next sensor in the route. Compression is based on a linear predictive encoding to exploit the correlation properties of the field. Cross-layer design of source, channel coding and medium access control are jointly analyzed for optimal resource allocation and interference management to minimize energy consumption. The proposed design approach is corroborated by extensive numerical analysis tailored for dense deployment as in seismic monitoring applications.

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Section: B Communication System Designmentioning

confidence: 99%

Energy-aware compress and forward systems for wireless monitoring of time-varying fields

Savazzi

Molteni

Spagnolini

2010

21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

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“…A common approach is to present directly the results RSSI versus logarithmic distance [2,3]. From this kind of graphs one can learn the pathloss slope versus distance, but cannot get the absolute pathloss.…”

Section: Introductionmentioning

confidence: 99%

Empirical channel model for unattended near ground sensor networks at UHF

Greenberg

Shuval

2014

The 8th European Conference on Antennas and Propagation (EuCAP 2014)

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Recently, unattended near ground wireless sensor networks are attracting increasing attention. The number of sensors needed to cover a certain area is of prime importance and therefore an accurate channel model is needed, especially to evaluate the maximum effective distance between adjacent terminals. In this paper, results of a measurements campaign performed in two environments, flat open yard and sandy dunes with bushes, are presented. Narrowband (NB) and wideband (WB) measurements at 916 MHz were conducted. The measured received power was compared with two ground wave prediction models. Additionally, we found that change of ground type leads to significant changes in both path loss and antenna gain. Based on the NB measurements we found a good match between predicted and measured received power values, and the predicted received power reflects the physical path profile. Based on the WB measurements we found that over flat open yard the channel can be classified as flat fading channel, while over sandy dunes with bushes the channel is rather frequency-selective with a coherence bandwidth of ~20MHz. Moreover, the temporal variations of the transfer function are negligible even though there was moderate wind during the measurements.Index Terms-wireless sensor networks, ground wave propagation, channel measurements. irregular terrain.

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“…It is the so called shadowing or large-scale path loss, in contrast with its counterpart, the small-scale path loss or fading which accounts for impairments due to time-frequency variations of the radio channel and multipaths [10]. The right model of the radio randomness strongly depends on the radio environment as well as the transmitter characteristics [8].…”

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confidence: 99%

Stability Problems of Transport of Event Data in Realistic Wireless Sensor Networks

Marco

Barolli

2008

International Journal of Distributed Sensor Networks

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In general, wireless sensor networks have a certain degree of spatial redundancy, which means that a high number of nodes can sense the same event at the same time. This redundancy permits to simplify both MAC protocol and the transport of sensed data. In particular, in this paper, we review a widely accepted transport technique which makes use of the event-reliability concept. A system implementing this technique is essentially a control system, where the controlled variables are the reporting rates of sensor nodes and the control variable is a function of the perceived event reliability at the sink node. As control system, we are interested in stable operating points. If we respect the capacity limit of the network, such stable points exist. However, if we take into account also the irregularities of radio links, well documented in recent measurements on real sensors testbeds, possible unstable states may arise. Here, we study this problem by means of simulation of a wireless sensor network under the assumption of two simplified versions of the radio model. We found that indeed the routing protocols should be carefully engineered in order to support event reliability based techniques.

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Quantifying short-range surface-to surface communications links

Cited by 23 publications

References 9 publications

Energy-aware compress and forward systems for wireless monitoring of time-varying fields

Energy-aware compress and forward systems for wireless monitoring of time-varying fields

Empirical channel model for unattended near ground sensor networks at UHF

Stability Problems of Transport of Event Data in Realistic Wireless Sensor Networks

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