An on-demand secure routing protocol resilient to byzantine failures
WiSE '02 Proceedings of the 1st ACM workshop on Wireless security
Latency of wireless sensor networks with uncoordinated power saving mechanisms
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Using redundancy to cope with failures in a delay tolerant network
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
R-Sentry: Providing Continuous Sensor Services against Random Node Failures
DSN '07 Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
Fast local rerouting for handling transient link failures
IEEE/ACM Transactions on Networking (TON)
Distributed energy management algorithm for large-scale wireless sensor networks
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Dynamic packet fragmentation for wireless channels with failures
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
On the latency for information dissemination in mobile wireless networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
On the critical phase transition time of wireless multi-hop networks with random failures
Proceedings of the 14th ACM international conference on Mobile computing and networking
Bandwidth guaranteed routing with fast restoration against link and node failures
IEEE/ACM Transactions on Networking (TON)
Reliable routings in networks with generalized link failure events
IEEE/ACM Transactions on Networking (TON)
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Correlated failures pose a great challenge for the normal functioning of large wireless networks, because an initial local failure may trigger a global sequence of related failures. Given their potentially devastating impact, we characterize the spread of correlated failures in this paper, which lays the foundation for evaluating and improving the failure resilience of existing wireless networks. We model the failure contagiousness as two generic functions: the failure impact radius distribution function fr(x) and the failure connection function g(x). By using the percolation theory, we determine the respective characteristic regimes of fr(x) and g(x) in which correlated failures will and will not percolate in the network. As our model represents various failure scenarios, the results are generally applicable in understanding the spread of a wide range of correlated failures.