Coverage and connectivity of ad hoc networks in presence of channel randomness

Miorandi, Daniele; Altman, Eitan

doi:10.1109/infcom.2005.1497917

Cited by 120 publications

(121 citation statements)

References 40 publications

Supporting

Mentioning

113

Contrasting

Unclassified

Order By: Relevance

“…A distance-power model cannot readily account for shadow fading since signal strength at the receiver is determined more by the presence of an obstacle blocking the path to the transmitter than by distance. In addition, recent investigations show that the connectivity of ad hoc networks with channel 0018-9448/$20.00 © 2006 IEEE randomness, such as that caused by shadow fading, is similar to the connectivity in a random graph [24]. Some models that consider channel randomness are studied in [25], [26], where it is shown that the resulting random network has some realistic connectivity properties lacking in a purely deterministic model.…”

Section: Introductionmentioning

confidence: 99%

Communication over a wireless network with random connections

Gowaikar

Hochwald

Hassibi³

2006

IEEE Trans. Inform. Theory

105

View full text Add to dashboard Cite

Abstract-A network of nodes in which pairs communicate over a shared wireless medium is analyzed. We consider the maximum total aggregate traffic flow possible as given by the number of users multiplied by their data rate. The model in this paper differs substantially from the many existing approaches in that the channel connections in this network are entirely random: rather than being governed by geometry and a decay-versus-distance law, the strengths of the connections between nodes are drawn independently from a common distribution. Such a model is appropriate for environments where the first-order effect that governs the signal strength at a receiving node is a random event (such as the existence of an obstacle), rather than the distance from the transmitter. It is shown that the aggregate traffic flow as a function of the number of nodes is a strong function of the channel distribution. In particular, for certain distributions the aggregate traffic flow is at least (log ) for some 0, which is significantly larger than the ( ) results obtained for many geometric models. The results provide guidelines for the connectivity that is needed for large aggregate traffic. The relation between the proposed model and existing distance-based models is shown in some cases.

show abstract

Section: Introductionmentioning

confidence: 99%

Communication over a wireless network with random connections

Gowaikar

Hochwald

Hassibi³

2006

IEEE Trans. Inform. Theory

105

View full text Add to dashboard Cite

show abstract

“…According to [31][32][33], the corresponding CDF and expectations of the radio range for the above fading models are as follows.…”

Section: Theorem 19 the Connectivity For The Random Radio Range Casementioning

confidence: 99%

Connectivity Analysis for Free-Flow Traffic in VANETs: A Statistical Approach

Chen

Pei

et al. 2013

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Intervehicle communication gives vehicles opportunities to exchange packets within the limited radio range and self-organized in Ad Hoc manner into VANETs (Vehicular Ad Hoc Networks). However, due to issues such as the high mobility, insufficient market penetration ratio, and lacking of roadside units, connectivity is actually a big problem in VANETs. In addition, relying only on the direct connectivity in most of the previous works, say broadcasting which provides one-hop connections between nodes is far from the continuously growing application demands in VANETs, such as inter-vehicle entertainments, cooperative collision avoidances, and inter-vehicle emergency notifications. Therefore, the indirect connectivity from multihop forwarding is also a necessary complement especially for the case where direct connection is hardly achieved. In this paper, we define a new metric, that is, available connectivity, to consider both direct and indirect connectivity. After analyzing the statistical properties of direct and indirect connectivity in vehicular environment, the available connectivity is proposed and quantified for practical usage. Numerical results show that our available connectivity could provide correct and useful references for protocols design and performance improvements of different applications.

show abstract

“…with zero mean, variance σ 2 , which represents the channel fluctuations. This channel model was also adopted by Orriss and Barton Orriss & Barton (2003) and other Authors Miorandi & Altman (2005 …”

Section: Link and Connectivity Modelsmentioning

confidence: 99%