650 research outputs found
When Mobile Blockchain Meets Edge Computing
Blockchain, as the backbone technology of the current popular Bitcoin digital
currency, has become a promising decentralized data management framework.
Although blockchain has been widely adopted in many applications, e.g.,
finance, healthcare, and logistics, its application in mobile services is still
limited. This is due to the fact that blockchain users need to solve preset
proof-of-work puzzles to add new data, i.e., a block, to the blockchain.
Solving the proof-of-work, however, consumes substantial resources in terms of
CPU time and energy, which is not suitable for resource-limited mobile devices.
To facilitate blockchain applications in future mobile Internet of Things
systems, multiple access mobile edge computing appears to be an auspicious
solution to solve the proof-of-work puzzles for mobile users. We first
introduce a novel concept of edge computing for mobile blockchain. Then, we
introduce an economic approach for edge computing resource management.
Moreover, a prototype of mobile edge computing enabled blockchain systems is
presented with experimental results to justify the proposed concept.Comment: Accepted by IEEE Communications Magazin
Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches
Peer-to-peer (P2P) energy trading has emerged as a next-generation energy
management mechanism for the smart grid that enables each prosumer of the
network to participate in energy trading with one another and the grid. This
poses a significant challenge in terms of modeling the decision-making process
of each participant with conflicting interest and motivating prosumers to
participate in energy trading and to cooperate, if necessary, for achieving
different energy management goals. Therefore, such decision-making process
needs to be built on solid mathematical and signal processing tools that can
ensure an efficient operation of the smart grid. This paper provides an
overview of the use of game theoretic approaches for P2P energy trading as a
feasible and effective means of energy management. As such, we discuss various
games and auction theoretic approaches by following a systematic classification
to provide information on the importance of game theory for smart energy
research. Then, the paper focuses on the P2P energy trading describing its key
features and giving an introduction to an existing P2P testbed. Further, the
paper zooms into the detail of some specific game and auction theoretic models
that have recently been used in P2P energy trading and discusses some important
finding of these schemes.Comment: 38 pages, single column, double spac
Reliable Distributed Computing for Metaverse: A Hierarchical Game-Theoretic Approach
The metaverse is regarded as a new wave of technological transformation that
provides a virtual space for people to interact through digital avatars. To
achieve immersive user experiences in the metaverse, real-time rendering is the
key technology. However, computing-intensive tasks of real-time rendering from
metaverse service providers cannot be processed efficiently on a single
resource-limited mobile device. Alternatively, such mobile devices can offload
the metaverse rendering tasks to other mobile devices by adopting the
collaborative computing paradigm based on Coded Distributed Computing (CDC).
Therefore, this paper introduces a hierarchical game-theoretic CDC framework
for the metaverse services, especially for the vehicular metaverse. In the
framework, idle resources from vehicles, acting as CDC workers, are aggregated
to handle intensive computation tasks in the vehicular metaverse. Specifically,
in the upper layer, a miner coalition formation game is formulated based on a
reputation metric to select reliable workers. To guarantee the reliable
management of reputation values, the reputation values calculated based on the
subjective logical model are maintained in a blockchain database. In the lower
layer, a Stackelberg game-based incentive mechanism is considered to attract
reliable workers selected in the upper layer to participate in rendering tasks.
The simulation results illustrate that the proposed framework is resistant to
malicious workers. Compared with the best-effort worker selection scheme, the
proposed scheme can improve the utility of metaverse service provider and the
average profit of CDC workers
Blockchain Mining Games with Pay Forward
We study the strategic implications that arise from adding one extra option
to the miners participating in the bitcoin protocol. We propose that when
adding a block, miners also have the ability to pay forward an amount to be
collected by the first miner who successfully extends their branch, giving them
the power to influence the incentives for mining. We formulate a stochastic
game for the study of such incentives and show that with this added option,
smaller miners can guarantee that the best response of even substantially more
powerful miners is to follow the expected behavior intended by the protocol
designer
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