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Publications (4)
Node localization plays an important role in many current and envisioned WSN applications. Most of existing algorithms are not applicable for networks in a concave area. To address this problem, a novel greedy optimization localization algorithm (GOLA) is proposed. The key of GOLA is the design of neighborhood function which only uses distances bet...
In a cognitive radio network, selfish secondary users may not voluntarily contribute to desired cooperative sensing. We design the first fully distributed scheme to incentivize participation of nodes in cooperative sensing, by connecting sensing and spectrum allocation, and offering incentive from latter to the former. Secondary users that are more...
In research of uncertain data stream in sensor network, the probability density is usually used to describe the uncertainty of continuous uncertain object values. Current researches are mainly based on the simply assumption that the values of uncertain object meets some conventional distribution, such as Gaussian distribution. However, the statisti...
Cognitive radio techniques represent an emerging approach for mitigating the spectrum scarcity problem in wireless communications. Cooperative sensing is an effective solution to improve sensing accuracy and robustness in the presence of fading and shadowing that make individual sensing less reliable. However, when an adversary can corrupt some nod...