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Sensing of food spoilage and contamination is an active area of research, with many types of contact and noncontact sensors are being developed that can track fresh food quality throughout the distribution process. In this paper, we consider the communication of the sensed product quality along with the box position (in the stack of boxes in the truck or in a warehouse room) to the next level, in...
Fingerprint-based indoor localization has been intensively researched in the last decade, yet the labor-intensive and time-consuming site survey for radio map construction has impeded its practical implementations. Recently, crowdsourcing has been promoted as a promising approach to exploit casually collected samples for radio map construction, however, such samples may be labelled with erroneous...
Wi-Fi enabled hand-held devices have quickly occupied the consumer market as a result of the remarkable customer acceptance of IEEE 802.11 standard. In this regard, the demand of high throughput introduces high throughput standards such as IEEE 802.11ac. It supports Dynamic Bandwidth Channel Access (DBCA), where a wireless station selects channel bandwidth dynamically based on the availability of...
TCP LoLa is a new delay-based congestion control that supports both, low queuing delay and high network utilization in high speed wide-area networks. This is particularly useful for traffic mixes consisting of bandwidth demanding and delay sensitive flows (e.g., long file transfer and interactive "web 2.0" traffic). TCP LoLa keeps the queuing delay at the bottleneck link low around a fixed...
Radio maps play a vital role in fingerprint-based indoor positioning systems (IPSs) in terms of the localization accuracy and computational overheads. Most existing studies either directly eliminate redundant APs or adopt unsupervised dimension reduction methods, say principal component analysis (PCA), to obtain a low-dimension representation of fingerprints, which consumes less storage and computational...
In today's datacenters, there is an increasing demand for more network traffic capacity. The majority of the increase in traffic is internal to the datacenter, i.e., it flows between different servers within the datacenter. This category of traffic is often referred to as east-west traffic and traditional hierarchical architectures are not well equipped to handle this type of traffic. Instead, they...
In this paper, we leverage two large-scale real-world datasets to provide the first results on the limits of predictability of cellular data traffic demands generated by individual users over time and space. Using information theory tools, we measure the maximum predictability that any algorithm has potential to achieve. We first focus on the predictability of mobile traffic consumption patterns in...
Ever-increasing big data forces enterprises to migrate data to cloud storage systems. Data retrieval time from the cloud will directly affect the overall application performance. Meanwhile, sensitive data stored on cloud necessitates a robust security arrangement against cyberattacks. Therefore, it is imperative that both data retrieval time and data security should be taken into account simultaneously...
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