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Figure 2A reports, for every deployment, the probability distribution of the durations of person-to-person contacts.
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When compared to the uncoordinated FDD deployment, the outage probability of the evaluation scenarios with the coordinated TDD-underlay solution is reduced by nearly 80%, while the average spectral efficiency increases by approximately 90% at high loads.
It is reasonable to speculate that additional deployments increase the probability for exposure to additional or more traumatic events such as witnessing death, being shot or seriously wounded, or fearing one's own impending death.
Du et al. [17] further propose a random key predistribution scheme by exploiting the node deployment knowledge such that the probability to find a common secret key between any two neighboring nodes can be maximized while other performance metrics are not degraded.
The use of two evaluation methodologies provides different views on mobile broadband deployment models which are expected to increase the probability of good correlation with real-world deployment scenarios.
In this paper, we address the problem of finding the probability of survival of a deployment (i.e. the probability that a deployment will tolerate faults), under the assumption that node failures are independent.
In order to examine the sensitivity of R(S) of a given deployment to changes in the probabilities of failure of its constituent SNs, we arbitrarily choose one of the deployments in Table 4, deployment S3-D1, assumesume all of its 21 SNs are of type 1 only.
This is also a unique opportunity to assess the utility of a road safety campaign to see if it helped to reduce the probability of becoming risky driver following deployment.
Figure 3 compares the probability of detection versus channel SNR for three deployment strategies with different conditions.
The locators, with their own locations known in advance (by manual deployment or GPS devices), are deployed independently in the network with the probability of Poisson distribution.
Therefore, the probability mass function can be defined for the random deployment as (6).
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