Contextware Research Challenges in Ambient Networks

Karmouch, Ahmed; Galis, Alex; Giaffreda, Raffaele; Kanter, Theo; Jonsson, Annika; Karlsson, Anders M.; Glitho, Roch; Smirnov, Michael; Kleis, Michael; Reichert, Christoph; Tan, Audrey R; Khedr, Mohamed; Samaan, Nancy; Laamanen, Heimo; Barachi, May El; Dang, John V.

doi:10.1007/978-3-540-30178-3_6

Cited by 14 publications

(2 citation statements)

References 7 publications

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“…Reputation is defined as the 'trustworthiness' of a user, and it is estimated using historical quality records. While a participant's reputation progressively increases because of consistent behavior over time, it decreases if there are anomalies detected [43]. Intuitively, the participant's reputation should have a small increase after receiving a high-quality contribution and a larger decrease if the data quality was low.…”

Section: Participant Reputation Estimation Modelmentioning

confidence: 99%

CrowdPower: A Novel Crowdsensing-as-a-Service Platform for Real-Time Incident Reporting

2022

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Crowdsensing using mobile phones is a novel addition to the Internet of Things applications suite. However, there are many challenges related to crowdsensing, including (1) the ability to manage a large number of mobile users with varying devices’ capabilities; (2) recruiting reliable users available in the location of interest at the right time; (3) handling various sensory data collected with different requirements and at different frequencies and scales; (4) brokering the relationship between data collectors and consumers in an efficient and scalable manner; and (5) automatically generating intelligence reports after processing the collected sensory data. No comprehensive end-to-end crowdsensing platform has been proposed despite a few attempts to address these challenges. In this work, we aim at filling this gap by proposing and describing the practical implementation of an end-to-end crowdsensing-as-a-service system dubbed CrowdPower. Our platform offers a standard interface for the management and brokerage of sensory data, enabling the transformation of raw sensory data into valuable smart city intelligence. Our solution includes a model for selecting participants for sensing campaigns based on the reliability and quality of sensors on users’ devices, then subsequently analysing the quality of the data provided using a clustering approach to predict user reputation and identify outliers. The platform also has an elaborate administration web portal developed to manage and visualize sensing activities. In addition to the architecture, design, and implementation of the backend platform capabilities, we also explain the creation of CrowdPower’s sensing mobile application that enables data collectors and consumers to participate in various sensing activities.

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Section: Participant Reputation Estimation Modelmentioning

confidence: 99%

CrowdPower: A Novel Crowdsensing-as-a-Service Platform for Real-Time Incident Reporting

2022

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“…During the COVID-19 pandemic, the performance and capacity utilization of multimodal transit hubs became uncertain due to unforeseen changes in demand and risks posed by geography and politics [2,3]. Companies struggled to understand customers' purchasing behavior across different channels, leading to increased fluctuations in demand and material flow in the downstream supply chain.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Impact of COVID-19 on Multimodal Cargo Transport Performance: A Mixed-Method Study in the UAE Context

Aljadiri,

Sundarakani,

El Barachi

2023

Sustainability

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This research is a case study on the United Arab Emirates (UAE), exploring multimodal logistics, which involves transporting cargo using multiple modes of transportation, and investigating its challenges and opportunities during the COVID-19 pandemic from 2020 to 2022. Through a mixed-method approach of qualitative interviews and quantitative surveys, this study examines factors influencing multimodal cargo transport and its performance. Five senior executives from the logistics industry were interviewed to identify key variables, and a questionnaire was administered to 120 participants to assess the impact on shipping costs and utilization. This study reveals a significant relationship between geographical and geopolitical risks and increased shipping costs in certain regions, highlighting the need for secure and cost-effective multimodal solutions in these areas. However, shipping costs did not mediate the performance of intermodal transportation at transit hubs during the pandemic. The findings offer valuable insights for transit hubs to enhance the utilization of multimodal cargo transport during uncertain times, ultimately leading to improved logistics performance in similar hub countries. This study’s originality lies in its investigation of the resilience and sustainability dimensions in multimodal logistics during the pandemic, proposing mitigation strategies and enhancing strategic decision making in the logistics industry under volatile business environments. Future research is recommended to expand the model’s results by including data from other logistics corridors and hubs.

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