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"Efficient Non-Interactive Polynomial Commitment Scheme in the Discrete" by Peiheng Zhang, Min Tang et al.

Polynomial commitment schemes (PCS) are fundamental components that can effectively solve the problems arising from the combination of IoT and blockchain. These allow a committer to commit to a polynomial and then later evaluate the committed polynomial at an arbitrary challenge point along with a proof of valid, without revealing any additional information about the polynomial. Recent works have presented polynomial commitment schemes based on the discrete logarithm assumption. Their schemes do...
Complexity Theory Iscrete Logarithm Assumption Hash Functions Nternet Of Things On Interactivity Pedersen Commitment
Source: uow.edu.au

"Optimizing Sample Delivery in RF-Charging Multi-Hop IoT Networks" by Muchen Jiang and Kwan Wu Chin

This paper studies sample delivery in a multi-hop network where a power beacon charges devices via radio frequency (RF) signals. Devices forward samples with a deadline from a source to a sink. The goal is to minimize the power beaconโ€™s transmit power and guarantee that samples arrive at the sink with probability (1-) by their deadline, where is a given probability of failure. A key challenge is that the power beacon does not have instantaneous channel gains information to devices and also bet...
Probabilistic Optimal Power Allocation Bayesian Optimization Array Signal Processing Energy Transfer Imperfect Knowledge Nternet Of Things
Source: uow.edu.au

"Charging RF-Energy Harvesting Devices in IoT Networks with Imperfect C" by Hang Yu, Kwan Wu Chin et al.

This paper considers energy delivery by a Hybrid Access Point (HAP) to one or more Radio Frequency (RF)-energy harvesting devices. Unlike prior works, it considers imperfect and causal Channel State Information (CSI), and probabilistic constraints that ensure devices receive their required amount of energy over a given planning horizon. To this end, it outlines two novel contributions. The first is a chance-constrained program, which is then solved using a Mixed Integer Linear Program (MILP) cou...
Integer Linear Program Hybrid Access Point Radio Frequency Channel State Information Mixed Integer Linear Program Sample Average Approximation
Source: uow.edu.au

"Short-Term Lateral Behavior Reasoning for Target Vehicles Considering " by Zhisong Zhou, Yafei Wang et al.

A timely understanding of target vehicles (TVs) lateral behavior is essential for the decision-making and control of host vehicle. Existing physical model-based methods such as motion-based method and multiple centerline-based method are generally constructed based on TV pose and longitudinal velocity, and tend to ignore TV preview driving characteristic and other useful information such as lateral velocity and yaw rate. To address these issues, a driver preview and multiple centerline model-bas...
Autonomous Vehicles Ehavior Reasoning River Preview Model Hidden Markov Models Ateral Behavior Predictive Models
Source: uow.edu.au

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