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Under the real-time electricity pricing environment in smart grid, building owners are faced with the indoor temperature control problem to minimize the daily electricity cost. Taking the heating scenario as an example, an intuitive strategy is to maintain the building's indoor temperature always at the lower bound of the predetermined comfort range. However, this strategy may not always achieve the...
The Named Data Networking (NDN) and Content-Centric Networking (CCNx) architectures are the leading approaches for content-centric networking, and both require using Interests (requests that elicit content) and maintaining per-Interest forwarding state in Pending Interest Tables (PIT) to store per- Interest forwarding state. To date, PITs have been assumed to be necessary to enable native support...
Broadcasting of real-time video, especially accidents relevant, plays an important role in Vehicle Ad-hoc Networks (VANETs). Multi-view video enables the perception of the targeted scene from multiple angles. By subscribing the real-time multi-view video broadcast, drivers can obtain better knowledge of the highway traffic and road conditions. However, compared with the traditional single view video...
Nowadays people are carrying their mobile devices wherever they go, and as social beings they interact with others all day long. Thus, by exploiting this massive use of smart devices they provide a way to be co-located using only their captured environmental radio signals. In this paper, we design a co-location system that finds groups of people, in real-time, with high accuracy, by exploiting the...
In Long Term Evolution (LTE) Networks, several call admission control mechanisms were proposed. They take into account some network constraints such as service diversity and availability of radio resources. However, the shortcomings of the existing mechanisms led us to propose a new approach called Efficient Bandwidth Call Admission Control (EB_CAC). Our proposition considers the quality of service...
Distributed stream processing platforms is a new class of real-time monitoring systems that analyze and extracts knowledge from large continuous streams of data. This type of systems is crucial for providing high throughput and low latency required by Big Data or Internet of Things monitoring applications. This paper describes and analyzes three main open-source distributed stream- processing platforms:...
Real-time video communications has been incorporated into many instant communication tools such as ichat, Skype, QQ, etc. Real-time video communications has low delivery delay requirement, which imposes great challenge to the provisioning of such services. To address this problem, in this paper, we propose a selective redundant transmission mechanism to support real-time streaming on multi-interface...
Crowdsensing has become increasingly popular due to its ability to collect a massive amount of real-time data with the help of many individual smartphone users. A crowdsensing platform can utilize the collected data to extract effective information and provide services to service requesters. Due to the rationality of smartphone users, designing an incentive mechanism to compensate the participants...
In this paper, we investigate the flexible power transfer among electric vehicles (EVs) from a cooperation perspective in an energy Internet based EV system. First, we introduce the concept of cooperative EV-to-EV (V2V) charging, which enables active cooperation via charging/discharging operations between EVs as energy consumers and EVs as energy providers. Then, based on the cooperative V2V charging...
The rate of data generation is enormously growing due to the number of internet users and its speed. This increases the possibility of intrusions causing serious financial damage. Detecting the intruders in such high-speed data networks is a challenging task. Therefore, in this paper, we present a high-speed Intrusion Detection System (IDS), capable of working in Big Data environment. The system design...
Route guidance and navigation services have been widely attracting researchers and application developers due to the serious problems of traffic congestion and the ceaseless need to improve the driving experience. Motivated by such driving concerns, this paper proposes a real-time, dynamic route guidance system with the main focus on the driver safety and satisfaction. As a unique feature compared...
Many emerging Big Data applications involve real- time classification in which data instances arriving sequentially over time need to be classified based on their feature vectors. A common and implicit assumption in existing works is that the features become available instantly with the instance and simultaneously with each other, which, however, rarely holds in practice. Instead, features of an instance...
With the ever-growing number of users enjoying online video service in mobile environments, video streaming services have been dominating the mobile traffic. It can be predicted that a small improvement in the user's watching experience will cause a substantial leap in profitability in terms of content providers and distributors, network operators and service providers for mobile videos. Though recent...
In this paper, a novel two-scale stochastic control framework is put forth for smart-grid powered coordinated multi-point (CoMP) systems. Taking into account renewable energy sources (RES), dynamic pricing, two-way energy trading facilities and imperfect energy storage devices, the energy management task is formulated as an infinite-horizon optimization problem minimizing the time-averaged energy...
Despite significant research efforts and great advances on Mobile CrowdSensing (MCS), building MCS applications remains difficult. In this paper, we develop and run Dining Halls on Live (DHOL), a campus dining population density monitoring system over several months. We make a holistic reality examination, discover key technical and practical difficulties, develop effective solutions and share our...
Highly mobile wireless communication attracts much more attention currently due to the rapid development of high speed railways (HSRs) all over the world. Although the single train scenario has been well studied by now, two trains encountering scenario over the general two-way railways is also an important problem deserving to investigate. To this end, this paper concentrates on the uplink information...
In areas where the habitats of elephants and humans are rapidly encroaching on each other, real-time monitoring of the elephants' locations has the potential to drastically improve the co-existence of elephants and humans, resulting in reduced deaths in both groups. However, as tagging (using GPS collars) elephants to obtain such location information is difficult and costly, it is important to ensure...
This paper presents initial results for a novel 128-antenna massive Multiple-Input, Multiple- Output (MIMO) testbed developed through Bristol Is Open in collaboration with National Instruments and Lund University. We believe that the results presented here validate the adoption of massive MIMO as a key enabling technology for 5G and pave the way for further pragmatic research by the massive MIMO community...
In this work, we study the joint optimization of edge caching and data sponsoring for a video content provider (CP), aiming at reducing the content delivery cost and increasing the CP's revenue. Specifically, we formulate the joint optimization problem as a two-stage decision problem for the CP. In Stage I, the CP determines the edge caching policy (for a relatively long time period). In Stage II,...
Smart Cities services and applications can generate massive amounts of data to be processed in real-time, including the ones regarding moving objects. The ability to handle fast streams of data, especially detecting movements of groups of objects, is of paramount importance for the advance of such services. In this paper, we address the challenge of scalability for real-time detection trajectories...
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