Reliability modeling and prediction of Wireless Multi-Hop Networks with correlated shadowing

Abstract

Abstract-Shadowing losses on proximate wireless links have been experimentally proven to be highly correlated in various scenarios. However, most of the existing works on the reliability modeling of Wireless Multi-Hop Networks (WMHNs) assume independent link shadowing. Neglecting shadowing correlations could lead to inaccurate network simulation results and unreliable wireless system design. In this paper, we present a more realistic reliability model of WMHN that incorporates correlated link shadowing. In particular, we use the correlated shadowing model that was developed in our previous work. This model enables the efficient generation of spatially correlated shadowing. It has been proved to agree well with the literature in terms of statistical properties. The proposed network model allows us to predict the reliability metrics of WMHNs and study network designs that can lessen the effect of correlated shadowing. Numerical results indicate that it is important to use the correlated shadowing model when evaluating the reliability of densely deployed large-scale multi-hop networks. We also present some numerical results to show the influence of shadowing correlation on redundant node deployment. This paper makes a small but fundamental step towards reliable wireless multi-hop network design in the context of correlated link shadowing.

Effects of Correlated Shadowing Modeling on Performance Evaluation of Wireless Sensor Networks

“…This spatial correlation of shadowing among proximate wireless links has been frequently observed in cellular systems [2] [3], satellite systems [4] and wireless multi-hop networks (WMHNs) [5]. Previous work shows that shadowing correlation significantly affects handover behavior [6], interference power [7], the performance of macrodiversity schemes [8], network connectivity [9] and redundant node deployment [10]. Although several models for correlated shadowing already exist, these models are not present in popular network simulators such as ns-3 [11] and QualNet [12].…”

Wireless Network Reliability Analysis for Arbitrary Network Topologies

“…The computational complexity of the ergodic network capacity is made up of the enumeration of all minimal cut-sets, ( 13), (14), and (15). The enumeration of all minimal cut-sets has a complexity of O(|L||V| 3 ) as given in [27].…”

“…The enumeration of all minimal cut-sets has a complexity of O(|L||V| 3 ) as given in [27]. The total complexity of the functions defined in ( 13), (14), and ( 15 Note that k and |L| increase exponentially with the size of N [22].…”

“…Although network reliability is a well-studied subject, its extension to wireless networks it is still relatively unexplored [10]- [14]. As the popularity of wireless communication systems increases when compared to their wired counterparts in many different areas, the reliability analysis of wireless communications becomes more important, yet challenging, as wireless links are more prone to errors and erasures.…”

“…Both [11], [12] do not consider the correlation effect of shadowing and this gap is filled by [13]. The reliability analysis of wireless multi-hop networks, which proposes a mathematical model to represent the network reliability of correlated shadowing wireless channel, is given in [14].…”