Underwater Wireless sensor Networks (UWSNs) consists of the set of wireless sensors in the seabed and it sends information to the nodes in the surface of water. Routing protocols play a vital role in transferring info...
详细信息
Current IaaS providers have deployed data centers worldwide, with resources continually increasing. Meanwhile, there is a rising trend in the concurrency of user requests and the diversity of user request types. To ac...
详细信息
ISBN:
(数字)9798350368536
ISBN:
(纸本)9798350368543
Current IaaS providers have deployed data centers worldwide, with resources continually increasing. Meanwhile, there is a rising trend in the concurrency of user requests and the diversity of user request types. To achieve better resource allocation, various complex scheduling architectures have been proposed. However, due to the challenges associated with real-world experiments, simulation systems are needed to build exper-imental environments for related research. As existing systems do not perform well enough, we construct LGDCloudSim. It is designed with full consideration of the characteristics of the large-scale geographically distributed cloud data center scenarios. To support large-scale simulations, we propose state management optimization and operation process optimization methods. Exper-iments show that LGDCloudSim can simulate up to 5 X 10
8
hosts and 10
7
request concurrency. It also supports diverse scheduling architectures and different request types.
A single ring microwave sensor resonating at 5 GHz has been designed and simulated using ADS tool for various sample materials. the sensor is rectangular ring with coupled feedline for excitation. Strip lines are of c...
详细信息
the addition of distributed generation (DG) to the distribution network is essential with increasing load demand. It makes more complex problems, so it is necessary to create ideal conditions for the electrical networ...
详细信息
Blockchain technologies are facing a scalability challenge, which must be overcome to guarantee a wider adoption of the technology. this scalability issue is due to the use of consensus algorithms to guarantee the tot...
详细信息
ISBN:
(数字)9781665461047
ISBN:
(纸本)9781665461047
Blockchain technologies are facing a scalability challenge, which must be overcome to guarantee a wider adoption of the technology. this scalability issue is due to the use of consensus algorithms to guarantee the total order of the chain of blocks (and of the transactions within each block). However, total order is often overkilling, since important advanced applications of smart-contracts do not require a total order among all operations. A much higher scalability can potentially be achieved if a more relaxed order (instead of a total order) can be exploited. In this paper, we propose a distributed concurrent data type, called Setchain, which improves scalability significantly. A Setchain implements a grow-only set object whose elements are not ordered, unlike conventional blockchain operations. When convenient, the Setchain allows forcing a synchronization barrier that assigns permanently an epoch number to a subset of the latest elements added. therefore, two operations in the same epoch are not ordered, while two operations in different epochs are ordered by their respective epoch number. We present different Byzantine-tolerant implementations of Setchain, prove their correctness and report on an empirical evaluation of a prototype implementation. Our results show that Setchain is orders of magnitude faster than consensus-based ledgers, since it implements grow-only sets with epoch synchronization instead of total order. Moreover, since the Setchain barriers can be synchronized withthe underlying blockchain, Setchain objects can be used as a sidechain to implement many smart contract solutions with much faster operations than on basic blockchains.
the ieee 802. 11e amendment offers Quality of Service for WLAN applications when traffic of different priorities is present in the network. A mechanism called enhanced distributed channel access (EDCA) that combines b...
详细信息
the ieee 802. 11e amendment offers Quality of Service for WLAN applications when traffic of different priorities is present in the network. A mechanism called enhanced distributed channel access (EDCA) that combines both point coordination function (PCF) and distributed coordination function (DCF) functions of channel accessing is employed in this amendment. through this, the high priority application traffic is offered more weightage when compared withthe traffic of low priority applications. In this work, throughput performance of different Wi -Fi versions like 802. 11b, 11a, 1lg and 11n are investigated under varying traffic loads taking the priority feature of 802. 11e into consideration. It is found that the priority mechanism is more appropriate if the offered load to the network is high only.
In many applications using wireless sensor networks, the reliability of monitored data is crucial to analyze situations and take decisions. Compressed sensing methods are effective to ensure durability of a wireless s...
In many applications using wireless sensor networks, the reliability of monitored data is crucial to analyze situations and take decisions. Compressed sensing methods are effective to ensure durability of a wireless sensor network installation and to overcome communication failures by drastically lowering the amount of data to transmit. the method proposed in this paper aims to perform an abstraction of the signals sparsity model required by compressed sensing in order to use a deep learning-based approach. this method is designed to be effective for all kinds of transient or temporally dynamic signals sufficiently regular to be predictable, that is to say signals that can be implicitly modelled by a sparse representation. through the collaboration of two recurrent neural networks and signal processing algorithms, our temporal method outperforms, in terms of accuracy, state-of-art methods, including distributed compressed sensing, time series imputation and forecasting deep learning methods. thus, high compression rates up to 95% can be reached while leading to an error of less than 0.5°C in reconstructing temperature signals.
Withthe steady advancement of highway infrastructure, the highway tunnel has been extended to remote areas and mountainous areas. It is difficult to connect to the power grid, the line distance is far, and the constr...
详细信息
ISBN:
(数字)9798331517724
ISBN:
(纸本)9798331517731
Withthe steady advancement of highway infrastructure, the highway tunnel has been extended to remote areas and mountainous areas. It is difficult to connect to the power grid, the line distance is far, and the construction investment is large. therefore, the use of distributed photovoltaic system to supply power to the power facilities in the tunnel can effectively reduce the power consumption, save natural resources and promote energy conservation and emission reduction. Based on the shortcomings of the traditional power supply mode of highway tunnel, combined withthe application of distributed photovoltaic in highway tunnel in China, this paper analyzes the application advantages of distributed photovoltaic power station for power supply of tunnel lighting system. Finally, taking the actual project as an example, it shows that it has good economic and social benefits.
the proceedings contain 39 papers. the topics discussed include: power allocation of energy harvesting cognitive radio based on deep reinforcement learning;spectrum handoff using game theory with hypergraph scheme in ...
ISBN:
(纸本)9781665422161
the proceedings contain 39 papers. the topics discussed include: power allocation of energy harvesting cognitive radio based on deep reinforcement learning;spectrum handoff using game theory with hypergraph scheme in distributed cognitive radio networks;density wireless network stochastic geometry modeling and queuing analysis;optimal directional charging angle in wireless rechargeable sensor network;optimal relay selection for cache-aided full-duplex SWIPT systems with maximal throughput;multi-node online charging scheduling in wireless rechargeable sensor networks;and optimization scheme and design of servo power supply for aerospace vehicle.
Withthe increase of data center scale, monitoring the status of its internal running devices has become the basis of automatic operations. Traditional environmental monitoring is often based on fixed sensors with lim...
详细信息
ISBN:
(纸本)9781665400626
Withthe increase of data center scale, monitoring the status of its internal running devices has become the basis of automatic operations. Traditional environmental monitoring is often based on fixed sensors with limited server racks to collect temperature and humidity data, which cannot be effectively combined withthe server task scheduling and resource allocation system. In order to provide reliable services to users, a reliable and low-power data center environmental data monitoring system is needed to collect and analyze data such as temperature, humidity and smoke. this paper presents a data center monitoring system based on edge computing, which uses edge computing and wireless sensor network technology to monitor the running status of the data center. the edge device collects the environmental data in real time, and then obtains the real-time running state parameters of the server through Intelligent Platform Management Interface. By analyzing the environmental data of the data center, the energy consumption and operating parameters of the server can be monitored and adjusted.
暂无评论