Advanced IT-Based Future Sustainable Computing

Park, Jong Hyuk; Chao, Han-Chieh

doi:10.3390/su9050757

Cited by 3 publications

(1 citation statement)

References 14 publications

(13 reference statements)

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“…Location information is a necessary component of the Future Sustainability Computing (FSC) framework which integrates diverse policies, procedures, programs and provides amount of potential applications such as mobile computing, robots and pedestrian navigation, augmented reality and other Location Based Service (LBS) [1]. For example, a RSSI-based distance estimation framework [2] was constructed to accurately estimate the location of users, in sustainable indoor computing environment.…”

Section: Introductionmentioning

confidence: 99%

A Structure Landmark-Based Radio Signal Mapping Approach for Sustainable Indoor Localization

Liu

Zhang

et al. 2021

Sustainability

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Low cost and high reproducible is a key issue for sustainable location-based services. Currently, Wi-Fi fingerprinting based indoor positioning technology has been widely used in various applications due to the advantage of existing wireless network infrastructures and high positioning accuracy. However, the collection and construction of signal radio map (a basis for Wi-Fi fingerprinting-based localization) is a labor-intensive and time-cost work, which limit their practical and sustainable use. In this study, an indoor signal mapping approach is proposed, which extracts fingerprints from unknown signal mapping routes to construct the radio map. This approach employs special indoor spatial structures (termed as structure landmarks) to estimate the location of fingerprints extracted from mapping routes. A learning-based classification model is designed to recognize the structure landmarks along a mapping route based on visual and inertial data. A landmark-based map matching algorithm is also developed to attach the recognized landmarks to a map and to recover the location of the mapping route without knowing its initial location. Experiment results showed that the accuracy of landmark recognition model is higher than 90%. The average matching accuracy and location error of signal mapping routes is 96% and 1.2 m, respectively. By using the constructed signal radio map, the indoor localization error of two algorithms can reach an accuracy of 1.6 m.

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Section: Introductionmentioning

confidence: 99%

A Structure Landmark-Based Radio Signal Mapping Approach for Sustainable Indoor Localization

Liu

Zhang

et al. 2021

Sustainability

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A Framework for More Effective Dark Web Marketplace Investigations

2018

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Abstract:The success of the Silk Road has prompted the growth of many Dark Web marketplaces. This exponential growth has provided criminal enterprises with new outlets to sell illicit items. Thus, the Dark Web has generated great interest from academics and governments who have sought to unveil the identities of participants in these highly lucrative, yet illegal, marketplaces. Traditional Web scraping methodologies and investigative techniques have proven to be inept at unmasking these marketplace participants. This research provides an analytical framework for automating Dark Web scraping and analysis with free tools found on the World Wide Web. Using a case study marketplace, we successfully tested a Web crawler, developed using AppleScript, to retrieve the account information for thousands of vendors and their respective marketplace listings. This paper clearly details why AppleScript was the most viable and efficient method for scraping Dark Web marketplaces. The results from our case study validate the efficacy of our proposed analytical framework, which has relevance for academics studying this growing phenomenon and for investigators examining criminal activity on the Dark Web.

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Fast and Efficient Data Forwarding Scheme for Tracking Mobile Targets in Sensor Networks

Zhao

Liu

et al. 2017

Symmetry

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Abstract:Transferring emergent target tracking data to sinks is a major challenge in the Industrial Internet of Things (IIoT), because inefficient data transmission can cause significant personnel and property loss. For tracking a constantly moving mobile target, sensing data should be delivered to sinks continuously and quickly. Although there is some related research, the end to end tracking delay is still unsatisfying. In this paper, we propose a Fast and Efficient Data Forwarding (FEDF) scheme for tracking mobile targets in sensor networks to reduce tracking delay and maintain a long lifetime. Innovations of the FEDF scheme that differ from traditional scheme are as follows: firstly, we propose a scheme to transmit sensing data through a Quickly Reacted Routing (QRR) path which can reduce delay efficiently. Duty cycles of most nodes on a QRR path are set to 1, so that sleep delay of most nodes turn 0. In this way, end to end delay can be reduced significantly. Secondly, we propose a perfect method to build QRR path and optimize it, which can make QRR path work more efficiently. Target sensing data routing scheme in this paper belongs to a kind of trail-based routing scheme, so as the target moves, the routing path becomes increasingly long, reducing the working efficiency. We propose a QRR path optimization algorithm, in which the ratio of the routing path length to the optimal path is maintained at a smaller constant in the worst case. Thirdly, it has a long lifetime. In FEDF scheme duty cycles of nodes near sink in a QRR path are the same as that in traditional scheme, but duty cycles of nodes in an energy-rich area are 1. Therefore, not only is the rest energy of network fully made use of, but also the network lifetime stays relatively long. Finally, comprehensive performance analysis shows that the FEDF scheme can realize an optimal end to end delay and energy utilization at the same time, reduce end to end delay by 87.4%, improve network energy utilization by 2.65%, and ensure that network lifetime is not less than previous research.

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Advanced IT-Based Future Sustainable Computing

Cited by 3 publications

References 14 publications

A Structure Landmark-Based Radio Signal Mapping Approach for Sustainable Indoor Localization

A Structure Landmark-Based Radio Signal Mapping Approach for Sustainable Indoor Localization

A Framework for More Effective Dark Web Marketplace Investigations

Fast and Efficient Data Forwarding Scheme for Tracking Mobile Targets in Sensor Networks

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