查看更多>>摘要：The convergence of communication and computing has led to the emergence of multi-access edge computing (MEC), where computing resources (supported by virtual machines (VMs)) are distributed at the edge of the mobile network (MN), i.e., in base stations (BSs), with the aim of ensuring reliable and ultra-low latency services. Moreover, BSs equipped with energy harvesting (EH) systems can decrease the amount of energy drained from the power grid resulting into energetically self-sufficient MNs. The combination of these paradigms is considered here. Specifically, we propose an online optimization algorithm, called Energy Aware and Adaptive Management (ENAAM), based on foresighted control policies exploiting (short-term) traffic load and harvested energy forecasts, where BSs and VMs are dynamically switched on/off towards energy savings and Quality of Service (QoS) provisioning. Our numerical results reveal that ENAAM achieves energy savings with respect to the case where no energy management is applied, ranging from 57% to 69%. Moreover, the extension of ENAAM within a cluster of BSs provides a further gain ranging from 9% to 16% in energy savings with respect to the optimization performed in isolation for each BS.
查看更多>>摘要：In the past decade, with the rapid development of wireless communication and sensor technology, ubiquitous smartphones equipped with increasingly rich sensors have more powerful computing and sensing abilities. Thus, mobile crowdsensing has received extensive attentions from both industry and academia. Recently, plenty of mobile crowdsensing applications come forth, such as indoor positioning, environment monitoring, and transportation. However, most existing mobile crowdsensing systems lack vast user bases and thus urgently need appropriate incentive mechanisms to attract mobile users to guarantee the service quality. In this paper, we propose to incorporate sensing platform and social network applications, which already have large user bases to build a three-layer network model. Thus, we can publicize the sensing platform promptly in large scale and provide long-term guarantee of data sources. Based on a three-layer network model, we design incentive mechanisms for both intermediaries and the crowdsensing platform and provide a solution to cope with the problem of user overlapping among intermediaries. We theoretically prove the properties of our proposed incentive mechanisms, including incentive compatibility, individual rationality, and efficiency. Furthermore, we evaluate our incentive mechanisms by extensive simulations. Evaluation results validate the effectiveness and efficiency of our proposed mechanisms.
Piotr ZwierzykowskiPei XiaoDejan VukobratovicAnna Zakrzewska...
2页
查看更多>>摘要：One of the basic assumptions of the 5G network architecture is network slicing. It has the advantage of enabling, as a result of creation of logical networks (slices), simultaneous optimization of hardware and radio resources and provide network communication capability that is service-oriented. The ability to create virtual networks, dedicated to different users or services, allows for efficient dimensioning and management of allocated resources.
Sofie PollinAlessandro ChiumentoJose Manuel Gimenez-GuzmanIvan Marsa-Maestre...
2页
查看更多>>摘要：Wireless technologies have reached an impressive popularity in the last years. However, the radio spectrum is very limited, and therefore as wireless communications have become more and more widespread, problems related to spectrum scarcity have arisen. Radio spectrum, as the physical support for wireless communication, both for fixed applications and especially for mobile broadband, is becoming an extremely strategic, valued, and demanded resource. Therefore, technologies and techniques enabling a more flexible access for service providers and clients and a more efficient and effective usage are needed.
查看更多>>摘要：Unmanned aerial vehicles (UAVs) play an increasingly core role in modern warfare, with powerful but tiny embedded computing systems actively applied in the military field. Confidential data, such as military secrets, may be stored inside military devices such as UAVs, and the capture or loss of such data could cause significant damage to national security. Therefore, the development of securely verifiable remote erasure techniques for military devices is considered a core technology. In this study, we devised a verifiable remote erasure scheme with a countdown-concept using randomized data synchronization to satisfy securely verifiable remote erasure technology. The scheme allows the GCS (Ground Control Station) to remotely erase data stored in the UAV, even on loss of communication, and returns proof of erasure to GCS after erasure. Our approach classifies the accumulated data stored in the UAV as a new data type and applies the characteristics of that data type to generate the proof of erasure. We select a small-volume data sample (rather than all of the data) and perform prior learning only on that sample; in this way, we can obtain the probative power of the evidence of erasure with a relatively small amount of traffic. When we want to erase data of 100 Mbytes of remote device, 100 Mbytes of data transfer is required for related work, whereas our system has data transfer according to the ratio of amount of randomly selected data. By doing this, communication stability can be acquired even in unstable communication situations where the maximum traffic can change or not be predicted. Furthermore, when the UAV sends the proof of erasure to the GCS, the UAV does its best to perform the erasure operation given its situation.
Alejandro Castillo AtocheErica Ruiz-IbarraEdith Osorio de la RosaJavier Vazquez Castillo...
10页
查看更多>>摘要：Long power wide area networks (LPWAN) systems play an important role in monitoring environmental conditions for smart cities applications. With the development of Internet of Things (IoT), wireless sensor networks (WSN), and energy harvesting devices, ultra-low power sensor nodes (SNs) are able to collect and monitor the information for environmental protection, urban planning, and risk prevention. This paper presents a WSN of self-powered IoT SNs energetically autonomous using Plant Microbial Fuel Cells (PMFCs). An energy harvesting device has been adapted with the PMFC to enable a batteryless operation of the SN providing power supply to the sensor network. The low-power communication feature of the SN network is used to monitor the environmental data with a dynamic power management strategy successfully designed for the PMFC-based LoRa sensor node. Environmental data of ozone (O_3) and carbon dioxide (CO_2) are monitored in real time through a web application providing IoT cloud services with security and privacy protocols.
Matheus S. De OliveiraCandice MullerFernando C. C. De CastroMaria C. F. De Castro...
11页
查看更多>>摘要：Mobile communications, not infrequently, are disrupted by multipath propagation in the wireless channel. In this context, this paper proposes a new blind concurrent equalization approach that combines a Phase Transmittance Radial Basis Function Neural Network (PTRBFNN) and the classic Constant Modulus Algorithm (CMA) in a concurrent architecture, with a Fuzzy Controller (FC) responsible for adapting the PTRBFNN and CMA step sizes. Differently from the Neural Network (NN) based equalizers present in literature, the proposed Fuzzy Controller Concurrent Neural Network Equalizer (FC-CNNE) is a completely self-taught concurrent architecture that does not need any training. The Fuzzy Controller inputs are based on the estimated mean squared error of the equalization process and on its variation in time. The proposed solution has been evaluated over standard multipath VHF/UHF channels defined by the International Telecommunication Union. Results show that the FC-CNNE is able to achieve lower residual steady-state MSE value and/or faster convergence rate and consequently lower Bit Error Rate (BER) when compared to Constant Modulus Algorithm-Phase Transmittance Radial Basis Function Neural Network (CMA-PTRBFNN) equalizer.
查看更多>>摘要：The performance of multiple input multiple output (MIMO) wireless networks is limited mainly by concurrent interference among sensor nodes. Effective link scheduling algorithms with the technology of successive interference cancellation (SIC) can maximize throughput in MIMO wireless networks. Most previous works on link scheduling in MIMO wireless networks did not consider SIC. In this paper, we propose a MIMO-SIC (MSIC) algorithm under the SINR model. First, a mathematical framework is established for the cross-layer optimization of routing and scheduling, with constraints of traffic balance and link capacity. Second, the interference regions are divided to characterize the level of interference between links. Finally, we propose a distributed link scheduling algorithm based on MSIC to eliminate the interference between competing links in the MIMO network. Experimental results show that the MSIC algorithm can increase the end-to-end throughput per unit by approximately 73% on average compared with non-SIC algorithms.
Benjamin MatuszewskiNorbert SchnellFrederic Bevilacqua
9页
查看更多>>摘要：In this paper, we present a complete framework, both technical and conceptual, aimed at developing and analysing Networked Music Systems. After a short description of our technical framework called soundworks, a JavaScript library especially designed for collective music interaction using web browser of mobile phones, we introduce a new conceptual framework, we named interaction topologies, that aims at providing a generic tool for the description of interaction in such systems. Our proposition differs from the theoretical approaches generally proposed in the literature by decoupling the description of interaction topologies from the low level technical implementation of the network. We then report on a set of scenarios and prototypes, illustrating and assessing our framework, which were successfully deployed in several public installations and performances. We particularly show that our concept of interaction topologies succeeds at describing and analysing global aspects of interaction from multiple point of views (e.g., social, human-computer) by allowing for composing simple abstract figures. We finally introduce a discussion on agencies and perception of users engaged in such systems that could later complete our framework to conceive and analyse Networked Music Systems.
查看更多>>摘要：This paper presents a model to codesign interpretively flexible artefacts. We present the case study of Beatfield, a multimodal system that allows users to control audiovisual material by means of tangible interaction. The design of the system was coauthored by individuals with different background and interests to encourage a range of difference interpretations. The capability of Beatfield to foster multiple interpretations was evaluated in a qualitative study with 21 participants. Elaborating on the outcome of this study, we present a new design model that can be used to stimulate heterogeneous interpretations of interactive artefacts.
NSTL
Wiley-Hindawi