To share or not to share: reliability assurance via redundant cellular connectivity in Connected Cars

Obiodu, Emeka; Abubakar, Abdullahi; Sastry, Nishanth; Mangiante, Simone

doi:10.1109/iwqos52092.2021.9521309

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…We structure our results into three subsections. Firstly, we summarise the coarse-grained results from Day 1 (already published in [15]) and position it as the baseline for comparing Day 2 and Day 3/4 results. Secondly, we explore the finegrained results from Day 2 based on actual switching of network connectivity in real-time.…”

Section: Resultsmentioning

confidence: 99%

“…This work combines insights from Day 1, 2, 3 and Day 4. On Day 1, the focus was on coarsegrained measurements for NP 1 -5 and preliminary results have been published [15]. On Day 2, we focus on fine-grained measurements for NP 1 and 3 as the two best in-country networks and NP 5.…”

Section: Focus Of Workmentioning

confidence: 99%

“…By using a system-level implementation with onboard computers (i.e Raspberry Pi), networking equipment and all the inherent unknown factors in a practical, real-life CC scenario, this approach demonstrates the advantage of DSM-MoC in a real-life and real-time scenario. The results of Day 1 have been preliminarily published in [15]. In it, we made two main contributions:…”

Section: E Novel Contributionmentioning

confidence: 99%

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DSM-MoC as Baseline: Reliability Assurance via Redundant Cellular Connectivity in Connected Cars

Obiodu

Abubakar

Mangiante

et al. 2022

IEEE Trans. Netw. Serv. Manage.

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Connected Cars (CCs) and vehicle-to-everything (V2X) use cases require stringent reliability for safety and non-safety uses. With increasing network softwarisation, it has become easier to use multiple, redundant connectivity options instead of relying on a single network connectivity. But where should these redundant connections be managed? Is it at a network provider's core network -i.e. supply side managed (SSM) -or at the CC -i.e. demand side managed (DSM)? In our work, we investigate the use of SSM and DSM for CCs on four separate days and across 800 kilometers of major / minor roads in South East England. For Day 1, we captured performance indicators, and determined hypothetical multi-operator configurations for four UK providers and a global Universal SIM. For Day 2, 3 & 4, we built and deployed a test-bed to actually implement network switching and understand performance (incl. for TCP & UDP) either on the road or in a stationary location. Based on our results, we make three contributions. First, we show that DSM can deliver superior performance for CCs more than any individual network (up to 28 percentage points in a hypothetical scenario), or SSM which had up to 4.8x longer page load times. Second, unlike other smartphone-only studies, our system-level study demonstrates that improvements of at least 12% can be obtained in a practical DSM field implementation for a CC. Third, we confirm that the advantage of DSM in a field implementation is higher for UDP traffic (23% better latency) compared to TCP (13%).

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Section: Resultsmentioning

confidence: 99%

Section: Focus Of Workmentioning

confidence: 99%

Section: E Novel Contributionmentioning

confidence: 99%

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DSM-MoC as Baseline: Reliability Assurance via Redundant Cellular Connectivity in Connected Cars

Obiodu

Abubakar

Mangiante

et al. 2022

IEEE Trans. Netw. Serv. Manage.

Self Cite

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“…Work [19] explored the cellular speed and capacity in a limited region. Works [20], [21], [22] discussed uplink speed of unreliability in ubiquitous IoT devices, particularly in the connected cars, focusing on the quality of service. Though these works focused on cellular speed, most of the works proposed the prediction method using the machine learning method rather than using multiple big-scale databases, covering domestic and worldwide data to calculate the uplink speed, which is one of the main contributions of our work.…”

Section: Related Workmentioning

confidence: 99%

Connection Type Identification and Uplink Speed Estimation of Malware Infected Hosts

Huang

Mochizuki²,

Yoshioka

2022

Journal of Information Processing

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IoT malware Mirai and its variants continue to evolve and their activities consume network resources, particularly radio resources. This paper proposes a method to identify connection types and estimate the wireless uplink speed of malware-infected hosts observed by IoT honeypot by using the Connection Type Database of Maxmind's GeoIP2, a well-known industrial resource for IP address related information, and Network Diagnosis Tool (NDT) database, a measurement data set of the uplink speed of various networks. The proposed Mobile Network Identification method divides IP addresses into IP ranges assigned to each Autonomous System (AS), and then employs the NDT database based on the IP ranges. We analyzed the infected hosts observed by IoT honeypot to assess and validate the precision of the proposed technique. Our method estimates the maximum average uplink speed of the infected cellular host to be 40.6 Mbps, which is between two reference measurement results of cellar networks, indicating the adequacy of the proposed method.

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Compact UWB Cellular Antenna Integrated Into Vehicle Spoiler

Lee

Song

Eshaq

2022

2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)

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To share or not to share: reliability assurance via redundant cellular connectivity in Connected Cars

Cited by 4 publications

References 10 publications

DSM-MoC as Baseline: Reliability Assurance via Redundant Cellular Connectivity in Connected Cars

DSM-MoC as Baseline: Reliability Assurance via Redundant Cellular Connectivity in Connected Cars

Connection Type Identification and Uplink Speed Estimation of Malware Infected Hosts

Compact UWB Cellular Antenna Integrated Into Vehicle Spoiler

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