1,721,091 research outputs found
Filter Simulation and Design with Bilinear Transformation: Quantitative Analysis of Distortion
No full textCooperative driving: A comprehensive perspective, the role of communications, and its potential development
Full text linkInter-vehicle communications may have many reasons to be, but improving road safety and efficiency is arguably the only reason that may differentiate them from other communication infrastructures and justify a special effort in their study and deployment. This work overviews (some of) the past research on the topic to draw some lessons for the future, and tries to dissipate some of the fog that still veils the future of cooperative and autonomous vehicles: Can communications improve mobility or selfish-autonomous vehicles will dominate roads in the future? The paper is not a survey, but rather a critical analysis of what Cooperative Driving (CD) means and how communication is essential for some functions and useful for others, never detrimental. We dedicate a special part to platooning, as iconic application of CD, one of the most studied and also closer to be market ready, at least technologically. A final section discusses the potentialities of CD and what threatens its adoption
Infective flooding in low-duty-cycle networks, properties and bounds
Full text linkFlooding information is an important function in many networking applications. In some networks, as wireless sensor networks or some ad-hoc networks it is so essential as to dominate the performance of the entire system. Exploiting some recent results based on the distributed computation of the eigenvector centrality of nodes in the network graph and classical dynamic diffusion models on graphs, this paper derives a novel theoretical framework for efficient resource allocation to flood information in mesh networks with low duty-cycling without the need to build a distribution tree or any other distribution overlay. Furthermore, the method requires only local computations based on each node neighborhood. The model provides lower and upper stochastic bounds on the flooding delay averages on all possible sources with high probability. We show that the lower bound is very close to the theoretical optimum. A simulation-based implementation allows the study of specific topologies and graph models as well as scheduling heuristics and packet losses. Simulation experiments show that simple protocols based on our resource allocation strategy can easily achieve results that are very close to the theoretical minimum obtained building optimized overlays on the network
On the properties of device-free multi-point CSI localization and its obfuscation
Full text linkThe use of Channel State Information (CSI) as a means of sensing the environment through Wi-Fi communications, and in particular to locate the position of unaware people, was proven feasible several years ago and now it is moving from feasibility studies to high precision applications, thus posing a serious threat to people's privacy in workplaces, at home, and maybe even outdoors. The work we present in this paper explores how the use of multiple localization receivers can enhance the precision and robustness of device-free CSI-based localization with a method based on a state-of-the-art Convolutional Neural Network. Furthermore, we explore the effect of the inter-antenna distance on localization, both with multiple receivers and with a single MIMO receiver. Next we discuss how a randomized pre-filtering at the transmitter can hide the information that the CSI carries on the location of one person indoor. We formalize the pre-filtering as a per-frame, per-subcarrier amplitude multiplication based on a Markovian stochastic process, and we discuss different signal clipping and smoothing methods highlighting the existence of a trade-off between communication performance and obfuscation efficiency. The methodology can in any case guarantee almost unhampered communications with very good localization obfuscation. Results are presented discussing two different ways of exploiting the multi-receiver or multi-antenna redundancy and how, in any case, properly randomized pre-distortion at the transmitter can prevent localization even if the attack is carried out with multiple localization devices (receivers controlled by the attacker) and not only with a multi-antenna (MIMO) receiver
Measuring IP and TCP behavior on Edge Nodes
No full textTstat is a new tool for the collection and statistical analysis of TCP/IP traffic, able to infer TCP connection status from traces. Discussing its use, we present some of the performance figures that can be obtained and the insight that such figures can give on TCP/IP protocols and the Internet. While standard performance measure, such as flow dimensions, traffic distribution, etc., remain at the base of traffic evaluation, more sophisticated indices, like the out-of-order probability and gap dimension in TCP connections, obtained through data correlation between the incoming and outgoing traffic, give reliable estimates of the network performance also from the user perspective. Several of these indices are discussed on traffic measures performed for more than 2 months on the access link of our institution
AntiSense: Standard-compliant CSI obfuscation against unauthorized Wi-Fi sensing
Full text linkChannel State Information (CSI)-based localization with 802.11 has been proven feasible in multiple scenarios and is becoming a serious threat to people's privacy in workplaces, at home, and maybe even outdoors. Countering unauthorized localization without hampering communications is a non-trivial task, although some very recent works suggest that it is feasible with marginal modification of the 802.11 transmission chain, but this requires modifying 802.11 devices. Furthermore, if the attacker controls two devices and not just a receiver, transmission side signal manipulation cannot help. This work explores the possibility of countering CSI based localization with an active device that, instead of jamming signals to avoid that a malicious receiver exploits CSI information to locate a person, superimpose on frames a copy of the same frame signal whose goal is not destroying reception as in jamming, but only obfuscate the location-relevant information carried by the CSI. A prototype implementation and early results look promising; they show the feasibility of location obfuscation with high efficiency and excellent preservation of communication performance, and indicate that the technique works both against passive attacks, where the attacker controls only a receiver, and active ones, where he/she controls both a transmitter and a receiver. These results pave the road for further research on smart spaces that preserve users’ privacy with a technical solution and not only via legal prescriptions
On the Properties of Next Generation Wireless Backhaul
Full text linkWith the advent of 5G, cellular networks require a high number of base stations, possibly interconnected with wireless links, an evolution introduced in the last revision of 5G as the Integrated Access and Backhaul (IAB). Researchers are now working to optimize the complex topologies of the backhaul network, using synthetic models for the underlying visibility graph, i.e., the graph of possible connections between the base stations. The goal of this paper is to provide a novel methodology to generate visibility graphs starting from real data (and the data sets themselves together with the source code for their manipulation), in order to base the IAB design and optimization on assumptions that are as close as possible to reality. We introduce a GPU-based method to create visibility graphs from open data, we analyze the properties of the realistic visibility graphs, and we show that different geographic areas produce very different graphs. We run state-of-the-art algorithms to create wireless backhaul networks on top of visibility graphs, and we show that the results that exploit synthetic models are far from those that use our realistic graphs. Our conclusion is that the data-based approach we propose is essential to design mobile networks that work in a variety of real-world situations
On Cost-Effective, Reliable Coverage for LoS Communications in Urban Areas
Full text linkThe use of ultra high frequencies in 5G and future networks to improve transmission speeds and capacity requires that users' equipment remain in Line of Sight with the access antennas most of the service time. This requirement implies a change in perspective to plan the coverage: Antennas cannot be placed on roofs or remote antenna sites, and a robust coverage is based on multi-antenna visibility from any point. This paper tackles the problem of public street coverage in urban areas with a data-driven methodology. Starting from 3D digital maps, we formalize the problem of antenna placement as a set coverage problem and leverage powerful heuristics to implement a general algorithm that allows the exploration of different policies, returning the detailed coverage, the antenna placement, and the cost of the coverage. Results on 15 areas in 3 Italian cities show the properties of different policies and confirm for the first time on large scale real data the feasibility of Line of Sight communications with a sustainable number of antennas per km2
Passive device-free multi-point CSI localization and its obfuscation with randomized filtering
No full textThe use of Channel State Information (CSI) as a means of sensing the environment through Wi-Fi communications, and in particular to locate the position of unaware people, is moving from feasibility studies to high precision applications. The work we present in this paper explores how the use of multiple localization receivers can enhance the precision and robustness of device-free CSI-based localization with a method based on a state-of-the-art Convolutional Neural Network. Next we discuss how a randomized pre-filtering at the transmitter can hide the information that the CSI carries on the location of one person indoor formalizing the manipulation technique. Results are presented discussing two different ways of exploiting the multi-receiver redundancy and how, in any case, properly randomized pre-distortion at the transmitter can prevent localization even if the attack is carried out with multiple localization devices (receivers controlled by the attacker)
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