A statistical model for the connectivity of nodes in a multi-sink wireless sensor network over a bounded region

Fabbri, Flavio; Verdone, Roberto

doi:10.1109/ew.2008.4623844

Cited by 23 publications

(13 citation statements)

References 18 publications

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“…These distances and angles are used in the derivations of the outage probability. The entries of Tables I and II were derived in [14].…”

Section: A Accounting For Edge Effectsmentioning

confidence: 99%

“…The edge effects due to the finiteness of deployment region have been initially considered in [13]. Extensions of this work can be seen in [14], where the specific case of a square domain is analyzed in detail. However, the two latter works only focus on connectivity, while no indication is given about its implications on the performance at MAC layer.…”

Section: Introductionmentioning

confidence: 99%

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Analytical study of the outage probability of ALOHA and CSMA in bounded ad hoc networks

Kaynia

Fabbri

Verdone

et al. 2010

2010 European Wireless Conference (EW)

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The performance of the ALOHA and CSMA protocols is evaluated within a bounded ad hoc network. Our network model comprises packets being distributed in finite space and time according to a 3-D PPP. Upon the formation of each packet, it is transmitted to its intended destination located a fixed distance away, using a fully-distributed MAC protocol. If the SINR of the received packet falls below a certain threshold any time during its transmission, the packet is received in outage. The evaluation metric of our network is outage probability, which is directly related to throughput. Approximate analytical expressions are derived for the outage probability of the different MAC protocols as a function of the spatial density of transmissions and the physical size of the network, and validated by simulations. Our bounded network is shown to yield a lower outage probability than infinite domains, due to the lower level of interference resulted from edge effects. Furthermore, the performance of the different MAC protocols are compared, and CSMA with receiver sensing [1] is shown to yield the lowest outage probability of all the unslotted protocols.

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“…These distances and angles are used in the derivations of the outage probability. The entries of Tables I and II were derived in [14].…”

Section: A Accounting For Edge Effectsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analytical study of the outage probability of ALOHA and CSMA in bounded ad hoc networks

Kaynia

Fabbri

Verdone

et al. 2010

2010 European Wireless Conference (EW)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore the connectivity criteria is the same as in the ad hoc networks. In [12], multiple sinks are considered in the connectivity analysis in wireless sensor networks. However, the authors assume that the sensors can be connected to the sinks only in a single-hop fashion.…”

Section: Related Workmentioning

confidence: 99%

Connectivity in Wireless Underground Sensor Networks

Sun

Akyildiz

2010

2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)

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Abstract-This paper investigates the probabilistic connectivity of the Wireless Underground Sensor Networks (WUSNs). Due to the unique channel characteristics and the heterogeneous network architecture of the WUSNs, the connectivity analysis is much more complicated than in the terrestrial wireless sensor networks and ad hoc networks. To our knowledge, this connectivity problem in WUSNs was not addressed before. In this paper, a mathematical model is developed to analyze the probabilistic connectivity in WUSNs, which captures the effects of environmental parameters such as the soil moisture and soil composition, and system parameters such as the operating frequency, the sensor burial depth, the sink antenna height, the density of the sensor devices, the tolerable latency of the networks, and the number and the mobility of the above-ground sinks. The lower and upper bounds for the connectivity probability are derived analytically. Simulation studies are performed, where the theoretical bounds are validated, and the effects of several environmental and system parameters on the performance of these networks are investigated.

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“…However, the authors assume that only one data sink exists. In [17], multiple sinks are considered in the connectivity analysis in wireless sensor networks. However, the authors assume that sensors can be connected to sinks only in a singlehop fashion.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Connectivity in Wireless Underground Sensor Networks

Sun

Akyildiz

Hancke

2011

IEEE Trans. Wireless Commun.

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In wireless underground sensor networks (WUSNs), due to the dynamic underground channel characteristics and the heterogeneous network architecture, the connectivity analysis is much more complicated than in the terrestrial wireless sensor networks and ad hoc networks, which was not addressed before, to our knowledge. In this paper, a mathematical model is developed to analyze the dynamic connectivity in WUSNs, which captures the effects of environmental parameters such as the soil composition and the random soil moisture, and system parameters such as the operating frequency, the sensor burial depth, the sink antenna height, the density of the sensor and sink devices, the tolerable latency of the networks, and the number and the mobility of the above-ground sinks. The lower and upper bounds of the connectivity probability are derived to analytically provide principles and guidelines for the design and deployment of WUSNs in various environmental conditions.

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A statistical model for the connectivity of nodes in a multi-sink wireless sensor network over a bounded region

Cited by 23 publications

References 18 publications

Analytical study of the outage probability of ALOHA and CSMA in bounded ad hoc networks

Analytical study of the outage probability of ALOHA and CSMA in bounded ad hoc networks

Connectivity in Wireless Underground Sensor Networks

Dynamic Connectivity in Wireless Underground Sensor Networks

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