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Understanding user-induced effects on signal reception across multiple frequency bands is of great scientific and military importance to the wireless industry. Various on-body locations and directional heading of the user are believed to impact the performance of mobile devices, but there has been little work across multiple frequency bands to quantify these user-induced effects. In this work, we...
In order to cope with the exponential growth of mobile traffic, mobile operators need to access more spectrum resources. LTE in unlicensed spectrum (LTE-U) has been proposed to extend the usual operation of LTE in licensed spectrum to cover also unlicensed spectrum. However, this extension poses significant challenges especially regarding the coexistence between LTE-U and legacy systems like Wi-Fi...
In edge computing wireless networks, popular data contents can be stored in mobile devices to provide the local data resources services, so that a mobile user can obtain these data contents directly from its nearby mobile devices instead of the remote service provider. Even though each mobile device's caching memory can be limited, caching in mobile devices offers the great potential of caching capability...
With the incredible rise in WiFi devices, proper assessment for performance is essential for Quality of Experience (QoE). In the past, many access point (AP) assessment metrics have been exploited to achieve optimal AP selection. However, these conventional metrics (e.g., throughput) are insufficient to capture the full dynamics of the AP load condition. In our paper, we posit that the recent introduction...
The measurement of quality and efficiency of a wireless Wi-Fi network is particularly difficult, as there is not a single tool that can record measurements from all sides of the system, i.e. from both the access point and the end-user. Existing tools are able to monitor the overall quality of the wireless network; although they cannot determine how end-users experience the quality of Wi-Fi in a particular...
Long Term Evolution (LTE) technology gives access to higher bandwidth and assures efficiency at network level for telecommunication operators, providing a reliable and continuous data traffic flow that allows data transmission at extremely high bit-rates. The aim of this paper is to evaluate LTE network performance in an actual urban environment, with emphasis on the downlink channel throughput. The...
The Smart City (SC) approach involves the integration and correlation of information coming from different areas (e.g. power grid management, water distribution, and more) for the optimization of asset management. The SC is like a pervasive sensors and actuator network, where the nodes exchange information, exploiting the power of Internet of Things technologies. A performing and dynamic communication...
Solid State Drives (SSD) are integrated together with Hard Disk Drives (HDD) in Hybrid Storage Systems (HSS) for Cloud environment. When it comes to storing data, some placement strategies are used to find the best location (SSD or HDD). These strategies should minimize the cost of data placement while satisfying Service Level Objectives (SLO). This paper presents two Cost based Object Placement Strategies...
Recent advances in the electronics for wireless communications is enabling transceivers to transmit and receive signals at the same time. Thus, the so called full duplex (FD) radios will soon be introduced in devices as opposed to traditional half duplex (HD). However, although FD radios allow to almost double the capacity of a single link, the advantage obtained in a network is still debated and...
The Raspberry Pi has become one of the most popular devices used in the internet of things studies because of its flexibility and affordability for prototyping purposes. It has found its niche in wireless sensor networks as it can function both as sensor node and router node just by adding wireless adapter. Studies have employed the Raspberry Pi as WSN mesh node and sensor node. These studies looked...
The emerging Internet of Things (IoT) involves integrating and forwarding data generated by heterogeneous sensing devices (IoT devices). The data is sent using various wireless technologies to application servers present in the IoT cloud via intermediate gateways. Using traditional routing techniques to connect millions of IoT devices to the Internet result in congestion and overloading of gateways...
This paper's objective is to present the performance comparison between Wi-Fi IEEE 802.11ac and Wi-Fi IEEE 802.11n by measuring the throughput and steaming rate of big data streaming. The performance test is divided into four scenarios, 1) data streaming to one device, 2) data streaming with different distances, 3) data streaming to multiple devices, and 4) live broadcast a big data streaming. The...
Over the time while IEEE 802.11 was developed, rate adaption algorithms had their own development stage. Most of rate adaption algorithms are not standardized and there are no rules on how one should operate. Therefore, this part of IEEE 802.11 is handled entirely by wireless vendors. Although, while IEEE 802.11 moved forward and introduced several performance increases with Quality of Service introduction,...
Data centers are experiencing tremendous growth in the number of servers and networking devices with an increase in traffic to cloud infrastructures. Data center network (DCN) topology plays an important role in providing acceptable level of performance to cloud applications. This paper presents the results of a simulation studies comparing the performance of several well-known DCN topologies under...
With the rapid increase of the Internet users, network security becomes very essential. Cryptography plays a major role in network security. However, cryptographic systems consume considerable amounts of resources, like memory, CPU time, encryption and decryption time. In this paper, we compared the most common block cipher modes of operation on AES according to the recommendations of the National...
The research and development of today's data management systems for both transaction processing and data analytics are driven by an inevitable technology trend, namely inmemory computing, and by an increasingly high demand of online applications from billions of concurrent users. This requires that a data management system must be able to provide both high throughput transactions and fast data analytics...
Real-time anomaly detection for streaming data is a desirable feature for mobile devices or unmanned systems. The key challenge is how to deliver required performance under the stringent power constraint. To address the paradox between performance and power consumption, brain-inspired hardware, such as the IBM Neurosynaptic System, has been developed to enable low power implementation of large-scale...
On large scale disasters, such as the Eastern Japan Great Earthquake and Kumamoto Earthquake, due to mud slides of cliff and floodwater of rivers, many disaster areas are physically isolated and relief and support activities of victims become quite difficult. The communication means are also destructed in those areas and cannot transmit the disaster information. In order to resolve those problems,...
LTE operation in unlicensed spectrum is emerging as a promising technology in achieving higher data rate with LTE since ultra-wide unlicensed spectrum, e.g., about 500 MHz at 5–6 GHz range, is available in most countries. Recently, 3GPP has finalized standardization of licensed assisted access (LAA) for LTE operation in 5 GHz unlicensed spectrum, which has been a playground only for Wi-Fi. LAA defines...
These days, microservice architecture is widely used in the design and development of many real-time, critical, and large-scale online services. These services are typically deployed using Docker containers on cloud platforms. Container technology supports the deployment of these services with high portability, scalability, and performance, when compared to deploying them using virtual machines (i...
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