Accurate One-Way Delay Estimation With Reduced Client Trustworthiness

Abdou, AbdelRahman; Matrawy, Ashraf; Oorschot, Paul C. van

doi:10.1109/lcomm.2015.2411591

Cited by 18 publications

(13 citation statements)

References 5 publications

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“…Under this circumstance, a second even milli-second level delay is detrimental to the interest of life and asset. Initially, we briefly discuss the delay components that are responsible for the overall end-to-end latency along a particular route [2]. Later, we determine how to minimize such components theoretically and practically.…”

Section: Introductionmentioning

confidence: 99%

Latency estimation for fog-based internet of things

Zhang

Jin

et al. 2017

2017 27th International Telecommunication Networks and Applications Conference (ITNAC)

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Low latency is critical for delay-sensitive applications such as video surveillance, live streaming, and online data analytics. Fog computing enables the emergence of the latency-sensitive internet of things (IoT) network to support realtime applications. While the distance between sensing and processing is minimized in the fog network, the cross-fog latency is yet to be determined. In this paper, we study the components of network delays and develop a latency estimation framework for fog-based IoT. The proposed framework, in particular, precisely predicts the end-to-end inter-node delay along the cloud-fog-things continuum. We investigate the benefits and use cases based on latency estimated by the proposed framework. A case study is further conducted to illustrate the validation and advantages, followed by future research directions.

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Section: Introductionmentioning

confidence: 99%

Latency estimation for fog-based internet of things

Zhang

Jin

et al. 2017

2017 27th International Telecommunication Networks and Applications Conference (ITNAC)

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“…In this section, the parameters which will be employed to represent the results of this study are defined First Node Die Cycle (FNDC): the cycle number for which the first node dies. Half Nodes Alive Cycle (HNAC): the cycle in which half of the nodes are still alive. Network's lifetime: the number of cycles in which 90% of the nodes are dead and the network is practically unusable. Sum of the Transmitted Energy (SOTE): the total energy consumed for data transferring in a cycle.…”

Section: Simulation Resultsmentioning

confidence: 99%

Prolong network lifetime and improve efficiency in WSN‐UAV systems using new clustering parameters and CSMA modification

Tarighi

Farajzadeh

Hematkhah

2020

Int J Communication

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Since unmanned aerial vehicles (UAVs) have been introduced as mobile nodes for data gathering, wireless sensor networks (WSNs) have progressed considerably. The resulting WSN-UAV systems are employed for emergency applications and also for remote monitoring purposes. WSN-UAV systems yield an optimum data gathering method using the WSN. In the proposed method, the nodes' data are transferred using a remotely operated vehicle (drone) rather than the conventional data transferring methods like the direct and hop-to-hop data transmission approaches. Then, the gathered data are delivered in the pre-determined destination point. WSN-UAV systems, in fact, are a special case of the systems with the mobile sink in which the sink path is previously specified and controlled. In this paper, the effects of clustering parameters on the WSNs are studied; then, the network's lifetime is prolonged by applying some parameters. In addition, the network's performance is enhanced to some extent by assigning some changes in the media access control (MAC) layer. Also, the effect of drone's path pattern on the lifetime of the network is studied.clustering, MAC, mobile sink, unmanned aerial vehicle (UAV), wireless sensor network (WSN), WSN-UAV

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“…This method is less accurate than OWAMP-like protocols [34]. We introduce a novel OWDestimation protocol, which can be more accurate than halving the RTT [21], yet requires less cooperation than required by OWAMP-like protocols. This protocol is detailed in §5 below.…”

Section: Cpv: Client Presence Verificationmentioning

confidence: 99%

“…Compared to av, the probability of mp to exclude delay spikes is higher [21]; thus, the mp protocol is given priority over av in Algorithm 1.…”

Section: The Minimum Pairs Protocol (Mp)mentioning

confidence: 99%

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CPV: Delay-Based Location Verification for the Internet

Abdou

Matrawy

Oorschot

2017

IEEE Trans. Dependable and Secure Comput.

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Abstract-The number of location-aware services over the Internet continues growing. Some of these require the client's geographic location for security-sensitive applications. Examples include location-aware authentication, location-aware access policies, fraud prevention, complying with media licensing, and regulating online gambling/voting. An adversary can evade existing geolocation techniques, e.g., by faking GPS coordinates or employing a non-local IP address through proxy and virtual private networks. We devise Client Presence Verification (CPV), a delay-based verification technique designed to verify an assertion about a device's presence inside a prescribed geographic region. CPV does not identify devices by their IP addresses. Rather, the device's location is corroborated in a novel way by leveraging geometric properties of triangles, which prevents an adversary from manipulating measured delays. To achieve high accuracy, CPV mitigates Internet path asymmetry using a novel method to deduce one-way application-layer delays to/from the client's participating device, and mines these delays for evidence supporting/refuting the asserted location. We evaluate CPV through detailed experiments on PlanetLab, exploring various factors that affect its efficacy, including the granularity of the verified location, and the verification time. Results highlight the potential of CPV for practical adoption.

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Accurate One-Way Delay Estimation With Reduced Client Trustworthiness

Cited by 18 publications

References 5 publications

Latency estimation for fog-based internet of things

Latency estimation for fog-based internet of things

Prolong network lifetime and improve efficiency in WSN‐UAV systems using new clustering parameters and CSMA modification

CPV: Delay-Based Location Verification for the Internet

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