Sid Chi-Kin Chau's research while affiliated with Australian National University and other places

Publications (41)

Article
Data sensing and gathering is an essential task for various information-driven services in smart cities. On the one hand, Internet of Things (IoT) sensors can be deployed at certain fixed locations to capture data reliably but suffer from limited sensing coverage. On the other hand, data can also be gathered dynamically through crowdsensing contrib...
Article
The papers in this special section focus on the intersection of computing and communication technologies with energy systems. Computing and communication technologies impact energy systems in two distinct ways. The exponential growth of these technologies has made them large energy consumers. Therefore, new architectures, technologies and systems a...
Preprint
Full-text available
Data sensing and gathering is an essential task for various information-driven services in smart cities. On the one hand, Internet of Things (IoT) sensors can be deployed at certain fixed locations to capture data reliably but suffer from limited sensing coverage. On the other hand, data can also be gathered dynamically through crowdsensing contrib...
Preprint
Online decision-making in the presence of uncertain future information is abundant in many problem domains. In the critical problem of energy generation scheduling for microgrids, one needs to decide when to switch energy supply between a cheaper local generator with startup cost and the costlier on-demand external grid, considering intermittent re...
Preprint
Full-text available
Energy storage provides an effective way of shifting temporal energy demands and supplies, which enables significant cost reduction under time-of-use energy pricing plans. Despite its promising benefits, the cost of present energy storage remains expensive, presenting a major obstacle to practical deployment. A more viable solution to improve the c...
Article
Energy storage provides an effective way of shifting temporal energy demands and supplies, which enables significant cost reduction under time-of-use energy pricing plans. Despite its promising benefits, the cost of present energy storage remains expensive, presenting a major obstacle to practical deployment. A more viable solution to improve the c...
Article
Full-text available
A routine task faced by Microgrid (MG) operators is to optimally allocate incoming power demand requests while accounting for the underlying power distribution network and the associated constraints. Typically, this has been formulated as an offline optimization problem for day-ahead scheduling, assuming perfect forecasting of the demands. In pract...
Article
Ride-sharing or vehicle-pooling allows commuters to team up spontaneously for transportation cost sharing. This has become a popular trend in the emerging paradigm of sharing economy. One crucial component to support effective ride-sharing is the matching mechanism that pairs up suitable commuters. Traditionally, matching has been performed in a ce...
Preprint
Coalition formation is a central part of social interactions. In the emerging era of social peer-to-peer interactions (e.g., sharing economy), coalition formation will be often carried out in a decentralized manner, based on participants' individual preferences. A likely outcome will be a stable coalition structure, where no group of participants c...
Article
Full-text available
Cloud computing has been a dominant paradigm for a variety of information processing platforms, particularly for enabling various popular applications of sharing economy. However, there is a major concern regarding data privacy in these cloud-based platforms. This work presents novel cloud-based privacy-preserving solutions to support collaborative...
Preprint
Ride-sharing or vehicle-pooling allows commuters to team up spontaneously for transportation cost sharing. This has become a popular trend in the emerging paradigm of sharing economy. One crucial component to support effective ride-sharing is the matching mechanism that pairs up suitable commuters. Traditionally, matching has been performed in a ce...
Preprint
Cloud computing has been a dominant paradigm for a variety of information processing platforms, particularly for enabling various popular applications of sharing economy. However, there is a major concern regarding data privacy on these cloud-based platforms. This work presents novel cloud-based privacy-preserving solutions to support collaborative...
Article
Timely processing has been increasingly required on smart IoT devices, which leads to directly implementing information processing tasks on an IoT device for bandwidth savings and privacy assurance. Particularly, monitoring and tracking the observed signals in continuous form are common tasks for a variety of near real-time processing IoT devices,...
Article
This special issue (SI) aims to present recent advances in the design and analysis of communication interfaces for Industry 4.0. The Industry 4.0 paradigm aims to integrate advanced manufacturing techniques with Industrial Internet-of-Things (IIoT) to create an agile digital manufacturing ecosystem. The main goal is to instrument production process...
Preprint
Timely processing has been increasingly required on smart IoT devices, which leads to directly implementing information processing tasks on an IoT device for bandwidth savings and privacy assurance. Particularly, monitoring and tracking the observed signals in continuous form are common tasks for a variety of near real-time processing IoT devices,...
Article
Full-text available
Through connecting intelligent vehicles as well as the roadside infrastructure, the perception range of vehicles can be significantly extended, and hidden objects at blind spots can be efficiently detected and avoided. To realize this, accurate road map data must be downloaded in real time to these intelligent vehicles for navigation and localizati...
Preprint
Full-text available
Through connecting intelligent vehicles as well as the roadside infrastructure, the perception range of vehicles can be significantly extended, and hidden objects at blind spots can be efficiently detected and avoided. To realize this, accurate road map data must be downloaded in real time to these intelligent vehicles for navigation and localizati...
Article
The Internet-of-Things (IoT) has engendered a new paradigm of integrated sensing and actuation systems for intelligent monitoring and control of smart homes and buildings. One viable manifestation is that of IoT-empowered smart lighting systems, which rely on the interplay between smart light bulbs (equipped with controllable LED devices and wirele...
Article
The Paradigm of Internet of Things (IoT) is increasingly integrated with real-world applications. There are many critical IoT applications in the energy sector. Worldwide energy systems and infrastructure are experiencing tremendous transformation. There has been a drastic surge in the global energy consumption, which has tripled in the past 50 yea...
Conference Paper
Full-text available
P2P (peer-to-peer) energy sharing allows household users to share their local energy resources (e.g., rooftop PVs, home batteries) based on an agreed cost-sharing mechanism (e.g., implemented as a smart contract over a blockchain ledger). Sharing energy resources is becoming a new form of sharing economy. This not only promotes renewable energy ado...
Conference Paper
Energy markets with retail choice enable customers to switch energy plans among competitive retail suppliers. Despite the promising benefits of more affordable prices and better savings to customers, there appears subsided participation in energy retail markets from residential customers. One major reason is the complex online decision-making proce...
Preprint
Energy markets with retail choice enable customers to switch energy plans among competitive retail suppliers. Despite the promising benefits of more affordable prices and better savings to customers, there appears subsided participation in energy retail markets from residential customers. One major reason is the complex online decision-making proce...
Article
Full-text available
This paper studies the application of physical-layer network coding (PNC) in vehicle-toeverything (V2X) communications to accommodate the time-critical nature of Vehicular Ad-hoc Networks (VANETs). The idea can theoretically reduce the transmission latency by 50%, thus alleviating the short contact time issues caused by high speed vehicle motion. C...
Conference Paper
To cope with the high-level penetration of electric vehicles (EVs), an intelligent scheduling mechanism for EV charging is required for maintaining the electricity grid within the operating limits, mitigating the demand peaks, and maximizing the benefit of intermittent renewable energy. This paper studies the scheduling optimization problem of EV c...
Conference Paper
Conventional HVAC control systems are usually incognizant of the physical structures and materials of buildings. These systems merely follow pre-set HVAC control logic based on abstract building thermal response models, which are rough approximations to true physical models, ignoring dynamic spatial variations in built environments. To enable more...
Conference Paper
To meet the substantial demand for electrified transportation, a high level of penetration of electric vehicles (EVs) will be expected to incur considerable impacts on the reliability of electricity grid. Hence, there requires an intelligent scheduling mechanism for EV charging for maintaining the electricity grid within the operating limits and ab...
Book
The electric power grid which has been an indispensable part of our society is being put under increasing pressure to meet the demands of a major surge in global energy consumption. As a result, the power grid needs to undergo transformations to meet the new challenges for a more sustainable society. One of these transformations is the need for con...
Conference Paper
One of the most prominent applications of smart technology for energy saving is in buildings, in particular, for optimizing heating, ventilation, and air-conditioning (HVAC) systems. Traditional HVAC systems rely on wired temperature regulators and thermostats installed at fixed locations, which are both inconvenient for deployment and ineffective...

Citations

... Second, up to this time, a number of black box models have been proposed [26][27][28]. Alyassi et al. [29] presented extensive experiments for three different drones and proposed a model that uses nine coefficients. Abeywickrama et al. [30,31] proposed a model that is a function of on-ground power consumption, communication activities, hovering, vertical and horizontal movements, speed, payload, and wind. ...
... Inspired by [2], we implemented a hardware-based privacy-preserving IoT-sensing system by detecting vehicle flows in our preliminary work [52]. Based on our previous papers [51,52], we managed to further improve the method of detection by directly monitoring parking spaces. ...
... The blockchain mechanism guarantees that the system can not be controlled by a specific organization or government. Blockchain technology is applied in many different fields, including e-voting [4,5], green energy [6,7], the banking and financial services industry [8,9], the Internet-of-Things (IoT) [10,11] and supply chain management [12][13][14]. Blockchain has increasingly been studied in recent years. ...
... However, both methods above are still vulnerable to attacks. Inspired by [2], we implemented a hardware-based privacy-preserving IoT-sensing system by detecting vehicle flows in our preliminary work [52]. Based on our previous papers [51,52], we managed to further improve the method of detection by directly monitoring parking spaces. ...
... Sharing rides represents a sharing economy example [16]. This economy promotes economic activities sharing in a p2p way [15]. Ridesharing represents a decentralized decision-making model because users are often self-interested and only motivated to team up with each other based on individual objectives [15]. ...
... In Hung et al. (2020), the authors discussed that when using Scalable Video Coding (SVC) standard to provide live video service the service providers could make full use of the flexible layered characteristics provided by SVC standard, and then combined with the auction mechanism to maximize social welfare. In Xu et al. (2020), Xu et al. authors considered the problem of minimizing social cost in the scenario of multi service providers competing for computing and bandwidth resources. In Yuan and Zhou (2021), a pricing strategy to distinguish the priority of user tasks was designed, and was used to maximizes the profit of service providers through dynamic programming. ...
... To preserve the privacy of location-based services, data outsourced to the cloud should be encrypted and only be able to be queried by registered authorized users in methods detailed by the authors of [271] and [272]. For data sharing services, the authors of [273] state that data should not be shared with a third-party in order to maintain privacy. ...
... Smart cities and smart appliances [1] enrich our daily lives by providing information-driven services and resource management. Since the states of services and resources are dynamic and uncertain, smart cities often require real-time sensing and tracking. ...
... Predictions provide the facilitator with information to maximize energy-sharing system connectivity while minimizing loss and solar curtailment [16]. Participation and community engagement have been examined for business models [4,17], optimization [18,19], and demand side experience [20]. However, each of these approaches emphasizes the characteristics of the service provided to the end-user without consideration of end-user decision-making strategies, which may not be purely rational processes. ...
... Chau et al [1] have investigated stable partitioning, i.e., a given partitioning can be rejected if any group of peers would gain more by forming a different one, similar to the stable marriage problem for pairs. Zhou et al [9] expand the partitioning to communities of size > 2 and evaluate partition-forming algorithms for groups of size 2 or 3 over a set of 30 households. Duvignau et al [3,4] advocate small-scale communities made of a few peers only (2 to 5) claiming that smaller groups are both efficient in terms of data and cost. ...