Reliability Assessment for Wireless Mesh Networks Under Probabilistic Region Failure Model

Li, Jiajia; Jiang, Xiaohong; Nishiyama, Hiroki; Kato, Nei

doi:10.1109/tvt.2011.2114684

Cited by 44 publications

(30 citation statements)

References 29 publications

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“…Such an assumption, even though realistic for wired networks, seems to be often inadequate for wireless communications. This is due to frequently observed spatial correlation between failures of wireless network elements being result of e.g., natural disasters (tornadoes, heavy rain falls), or malicious human activities (e.g., bomb explosions) [94].…”

Section: Reliability Of Wireless Communicationsmentioning

confidence: 99%

“…However, they also have some limitations. For instance, in the model from [94], radius r of the circular failure region is assumed to be constant, which is in obvious contrast to reality. Another constraint remarkably limiting 6 Example region failure probabilities from [94] application of this model in practice refers to probability p i of node failures defined as a unique constant value in each ith area between two consecutive concentric annuluses, as given in Fig.…”

Section: Reliability Of Wireless Communicationsmentioning

confidence: 99%

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Future research directions in design of reliable communication systems

et al. 2015

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In this position paper on reliable networks, we discuss new trends in the design of reliable communication systems. We focus on a wide range of research directions including protection against software failures as well as failures of communication systems equipment. In particular, we outline future research trends in software failure mitigation, reliability of wireless communications, robust optimization and network design, multilevel and multirealm network resilience, multiple criteria routing approaches in multilayer networks, resilience options of the fixed IP backbone network in the interplay with the optical layer survivability, reliability of cloud computing networks, and

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Section: Reliability Of Wireless Communicationsmentioning

confidence: 99%

Section: Reliability Of Wireless Communicationsmentioning

confidence: 99%

Future research directions in design of reliable communication systems

et al. 2015

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show abstract

“…1 and [29]) defined with respect to either network geometry, or topology. For example, in [30] region failures are modeled by means of circles of constant radius r. Another assumption of [30] is that probability p i of node n failure (being a monotonously decreasing function of distance r n of node n from the failure epicentre), is constant within each ith area between two consecutive concentric annuli (see Fig. 2).…”

Section: Related Workmentioning

confidence: 99%

“…In each case, weather radar information has to be broadcast to all the network nodes, additionally increasing the routing algorithm complexity. [30] Available methods of weather-resistant WMN routing seem to be focused mainly on updates of link cost metrics, and do not use other information (e.g., related to network characteristics). In particular, to the best of our knowledge, so far there has been no approach proposed in the literature to improve the performance of a WMN during rain storms that is based on automatic updates of a WMN network topology.…”

Section: Related Workmentioning

confidence: 99%

A new approach to design of weather disruption-tolerant wireless mesh networks

Rak

2015

Telecommun Syst

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Wireless Mesh Networks, offering transmission rates of 1-10 Gb/s per a millimeter-wave link (utilizing the 71-86 GHz band) seem to be a promising alternative to fiber optic backbone metropolitan area networks because of significantly lower costs of deployment and maintenance. However, despite providing high transmission rates in good weather conditions, high-frequency wireless links are very susceptible to weather disruptions. In particular, heavy rain storms may lead to remarkable signal attenuation. In this paper, we introduce a new transmission technique for wireless mesh networks to mitigate the negative effects of link quality degradation due to rain storms. In particular, our method is the first one to use information on forecasted attenuation of links based on radar measurements to perform in advance the periodic updates of a network topology. Our approach is easily implementable in practice, since functionality of dynamic antenna alignment is currently offered by a number of equipment vendors. Other contributions of the paper include presentation of the ILP model of weatherresistant links formation problem followed by analysis of its computational complexity. Results of simulations, performed for three real scenarios of rain storms, show that our approach is very efficient in reducing the level of signal attenuation.

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“…To capture these characteristics, regionbased connectivity was introduced (see e.g., [15][16][17], and [26]). In particular, in [26] it was shown that the difference between connectivity and region-based connectivity can be arbitrarily large.…”

Section: Related Workmentioning

confidence: 99%

Measures of region failure survivability for wireless mesh networks

Rak

2014

Wireless Netw

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Wireless mesh networks (WMNs) are considered as a promising alternative to wired local, or metropolitan area networks. However, owing to their exposure to various disruptive events, including natural disasters, or human threats, many WMN network elements located close to the failure epicentre are frequently in danger of a simultaneous failure, referred to as a region failure. Therefore, network survivability, being the ability to provide the continuous transmission after a failure, is of great importance. In this paper, we define three new measures of wireless mesh networks survivability for a region failure scenario, including the region failure survivability function, p-fractile region survivability function, and the expected percentage of total flow delivered after a failure as a function of region radius r. These measures are next used to evaluate the vulnerability of example wireless mesh networks to region failures.

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Reliability Assessment for Wireless Mesh Networks Under Probabilistic Region Failure Model

Cited by 44 publications

References 29 publications

Future research directions in design of reliable communication systems

Future research directions in design of reliable communication systems

A new approach to design of weather disruption-tolerant wireless mesh networks

Measures of region failure survivability for wireless mesh networks

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