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To quantify the goodness of a configuration, we develop a probabilistic model of network configuration. A probabilistic graph then represents the ...
Self-configuration is for the network to achieve a desired network configuration by end-users in a distributed fashion, where each node adjusts its local ...
To quantify the goodness of a configuration, we develop a probabilistic model of network configuration. A probabilistic graph then represents the ...
To quantify the goodness of a configuration, we develop a probabilistic model of network configuration. A probabilistic graph then represents the ...
Sung-eok Jeon, Chuanyi Ji: Near-Optimal Algorithm for Self-configuration of Ad-hoc Wireless Networks. International Conference on Computational Science (3) ...
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Oct 22, 2024 · The objective is to find the minimum frame length with given traffic distributions and corresponding routing information. Because of the complex ...
A wireless ad hoc network is a decentralized network where each node can forward data packets for other nodes, with the main objective of maintaining ...
This thesis presents a localized distributed algorithm for topology control of mobile ad hoc wireless networks by engaging control over the local placements ...
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In this work, we show that machine learning, e.g., graphical models, plays an important role for the self-configuration of ad hoc wireless network. The role of ...
First we can find the balanced, optimal operating point (or near-optimal point) between reactive and proactive strategies. An adaptive strategy will achieve.