Wireless sensor Networks (WSN s) are widely used in various applications, including health care, environmental monitoring, and industrial automation. However, their distributed nature and limited resources make them v...
详细信息
Massive amounts of data are generated by sensor networks, edge computers, IoT devices, and enterprise networks. To process this volume of data requires (1) a scalable programming model that is not only concurrent and ...
详细信息
ISBN:
(纸本)9781665460873
Massive amounts of data are generated by sensor networks, edge computers, IoT devices, and enterprise networks. To process this volume of data requires (1) a scalable programming model that is not only concurrent and distributed, but supports the mobility of data and processes (actors), and (2) algorithms to distribute computations between nodes in a manner that improves overall performance while considering energy use in the system. With appropriate programming tools, we can distribute a given computation in a way that makes effective use of edge devices to improve performance while lowering energy consumption. The paper describes our work building on ideas based on the Actor model of computation. These include characterizing the relation of performance and energy consumption in parallel computation, and methods to support scalable placement mechanisms under dynamically changing network conditions and computational loads on edge devices. The paper will conclude with a presentation with a summary of open research problems.
In the research community, dependable data transmission implementation is still a necessity in wireless sensor networks. Cluster routing is notable for its minimal overhead and reliable data transferring in traditiona...
详细信息
This review paper develops the current understanding of machine learning applications in the Structural health monitoring industry using Fiber Bragg Grating (FBG) sensors. We describe how this synergy transforms strai...
详细信息
Federated getting to know (FL) is a gadget studying generation which allows a user to train a single model across more than one dispensed system, with none of the person systems having to transfer the statistics sets,...
详细信息
In the field of artificial intelligence (AI), sensor fusion [1] is becoming an increasingly important technology for many Internet of things (IoT) applications. For intelligent transportation system (ITS), we propose ...
详细信息
Is it possible to build ultra-low power wireless sensor networks (WSN) that exploit the inherent parallel and distributed nature of powerful message passing/inference algorithms, embrace ultra-low power communication ...
详细信息
ISBN:
(纸本)9781665439299
Is it possible to build ultra-low power wireless sensor networks (WSN) that exploit the inherent parallel and distributed nature of powerful message passing/inference algorithms, embrace ultra-low power communication principles and make autonomous, in-network decisions, solely powered by the environment? While edge and cloud computing emerge, this work points towards the opposite direction, inspired by the fact that ambient energy, either from radio frequency (RF), sun, motion, temperature or even living organisms, has fixed (on average) density per surface (or volume). It is shown, perhaps for the first time in the literature (to the best of our knowledge), a proof of concept, where a WSN harvests energy from the environment and processes itself the collected information in a distributed manner, by converting the (network) inference task to a probabilistic, message passing problem. Examples from Gaussian Belief Propagation and Average Consensus are offered;ambient energy harvesting and availability are quantified, controling the probability of successful (or not) message passing. Such interrupted communication requires distributed algorithms robust to asynchrony, at the expense of increased overall delay. Simulation and experimental validation are offered in a WSN testbed with solar energy harvesting. Future work will focus on overall delay minimization.
Efficient power management is paramount in modern multicore systems to balance performance and energy consumption. This paper explores the integration of distributed On-Chip Switched-Capacitor Converters (DoS-DCCs) wi...
详细信息
distributed power sources can reduce transmission and network losses, improve grid stability and reliability, and lower system operation costs, which are of great significance for improving the economy and environment...
详细信息
Parallel and distributedcomputing has become a necessity when it comes to high-performance computing, artificial intelligence, big data analytics, machine learning, deep learning, signal processing and bioengineering...
详细信息
暂无评论