Chance-Constrained Optimization of Reliable Fixed Broadband Wireless Networks

We have shown that popular greedy algorithms making use of Chernoff bounds and Chebyshev’s inequality provide provably good solutions for monotone submodular optimization problems

The proposed algorithm used for solving the probabilistic nonconvex constrained optimization problem defined by equations (1) to (3) with a fixed number N of function evaluations

The method is applicable to any problem with polynomial equality and inequality constraints, and we demonstrate it numerically on the chance constrained AC Optimal Power Flow.. In

3 shows that BestTrade is the best heuristic for these applications: it allows us to always meet both the expected period bound and the probability bound, and it offers similar

To address the above problem, this paper proposes a novel scheduling approach that can generate energy-efficient and soft error resilient mappings for applications on a given

Existing works [7, 21] on integrity verification of outsourced data mining computations mainly focus on the authentication of soundness and completeness of the data mining results,

In the first setup, static routes are used to make evaluations, where these static routes are built by running the nst-AODV a priori and using these routes throughout the

Single-Metric Routing Protocols Routing Protocols in WSNs Single- metric Multiple- metric Network Flow-based Distance Progress Residual Energy Link Quality Hop Count