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Convergence of Heterogeneous Wireless Sensor Networks: Opportunities and Solutions

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 25 July 2024 | Viewed by 1760

Special Issue Editors


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Guest Editor
Department of Information Management, Shih Hsin University, Taipei 116, Taiwan
Interests: healthcare engineering; micro/nanobots networks; AI and machine learning; wireless visual sensor networks; IoT; cloud/edge computing

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Guest Editor
School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China
Interests: mobile health; health big data; medical AI

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Guest Editor
Department of Information Management, National Taiwan University of Science and Technology, 43 Keelung Rd., Sect. 4, Taipei 106, Taiwan
Interests: IoT/IoV security; blockchain security; cloud security; network security; trusted computing
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Special Issue Information

Dear Colleagues,

Wireless sensor networks (WSN) are widely deployed due to the advances in sensor hardware and networking capability. However, how to converge heterogeneous WSNs to enable more intelligent cross-network applications is still a challenge. The challenges not only come from designing novel networking protocols to connect heterogeneous WSNs but also how to interpret the sensed data from heterogeneous WSNs to make intelligent decisions. For instance, when driving home from the office in cold winter, an autonomous car sends the estimated arrival time to a smart home controller to turn on the heater to a comfortable temperature upon arrival. It requires not only the connection between the autonomous car network and the smart home network but also the intelligent interpretation of the sensed data for the right actuation. The convergence of heterogeneous WSNs implies more damages and losses from unauthorized access and security threats than in standalone WSNs. How to ensure security and trust in the convergence of heterogeneous WSNs is another important issue. This Special Issue solicits papers that contribute to the convergence of heterogeneous WSNs. Interesting research topics include but are not limited to:

  • Cloud/fog/edge computing solutions in the convergence of heterogeneous WSNs;
  • AI solutions in convergence of heterogeneous WSN;
  • Multimedia data sensing/transmission/processing in the convergence of heterogeneous WSNs;
  • Networking protocols in the convergence of heterogeneous WSNs;
  • Beyond 5G and the convergence of heterogeneous WSNs;
  • Security issues and solutions in the convergence of heterogeneous WSNs;
  • Trust and privacy issues and solutions in the convergence of heterogeneous WSNs;
  • Testbeds and implementations in the convergence of heterogeneous WSNs.

Dr. Hong-Hsu Yen
Dr. Anpeng Huang
Prof. Dr. Shi-Cho Cha
Guest Editors

Manuscript Submission Information

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Published Papers (2 papers)

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Research

26 pages, 8793 KiB  
Article
Intelligent Evacuation Sign Control Mechanism in IoT-Enabled Multi-Floor Multi-Exit Buildings
by Hong-Hsu Yen and Cheng-Han Lin
Sensors 2024, 24(4), 1115; https://doi.org/10.3390/s24041115 - 08 Feb 2024
Viewed by 554
Abstract
In contemporary evacuation systems, the evacuation sign typically points fixedly towards the nearest emergency exit, providing guidance to evacuees. However, this static approach may not effectively respond to the dynamic nature of a rapidly evolving fire situation, in particular if the closest emergency [...] Read more.
In contemporary evacuation systems, the evacuation sign typically points fixedly towards the nearest emergency exit, providing guidance to evacuees. However, this static approach may not effectively respond to the dynamic nature of a rapidly evolving fire situation, in particular if the closest emergency exit is compromised by fire. This paper introduces an intelligent evacuation sign control mechanism that leverages smoke and temperature sensors to dynamically adjust the direction of evacuation signs, ensuring evacuees are guided to the quickest and safest emergency exit. The proposed mechanism is outlined through a rigorous mathematical formulation, and an ESP heuristic is devised to determine temperature-safe, smoke-safe, and congestion-aware evacuation paths for each sign. This algorithm then adjusts the direction light on the evacuation sign to align with the identified evacuation path. To validate the effectiveness of this approach, fire simulations using FDS software 6.7.1 were conducted in the Taipei 101 shopping mall. Temperature and smoke data from sensor nodes were utilized by the ESP algorithm, demonstrating superior performance compared to that of the existing FEL algorithm. Specifically, the ESP algorithm exhibited a notable increase in the probability of evacuation success, surpassing the FEL algorithm by up to 34% in methane fire scenarios and 14% in PVC fire scenarios. The significance of this improvement is more pronounced in densely congested evacuation scenarios. Full article
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23 pages, 14857 KiB  
Article
Transparent Rule Enablement Based on Commonization Approach in Heterogeneous IoT Edge Networks
by Wenquan Jin, Yong-Geun Hong, Jaeseung Song, Jaeho Kim and Dohyeun Kim
Sensors 2023, 23(19), 8282; https://doi.org/10.3390/s23198282 - 06 Oct 2023
Viewed by 756
Abstract
The paradigm of the Internet of Things (IoT) and edge computing brings a number of heterogeneous devices to the network edge for monitoring and controlling the environment. For reacting to events dynamically and automatically in the environment, rule-enabled IoT edge platforms operate the [...] Read more.
The paradigm of the Internet of Things (IoT) and edge computing brings a number of heterogeneous devices to the network edge for monitoring and controlling the environment. For reacting to events dynamically and automatically in the environment, rule-enabled IoT edge platforms operate the deployed service scenarios at the network edge, based on filtering events to perform control actions. However, due to the heterogeneity of the IoT edge networks, deploying a consistent rule context for operating a consistent rule scenario on multiple heterogeneous IoT edge platforms is difficult because of the difference in protocols and data formats. In this paper, we propose a transparent rule enablement, based on the commonization approach, for enabling a consistent rule scenario in heterogeneous IoT edge networks. The proposed IoT Edge Rule Agent Platform (IERAP) deploys device proxies to share consistent rules with IoT edge platforms without considering the difference in protocols and data formats. Therefore, each device proxy only considers the translation of the corresponding platform-specific and common formats. Also, the rules are deployed by the corresponding device proxy, which enables rules to be deployed to heterogeneous IoT edge platforms to perform the consistent rule scenario without considering the format and underlying protocols of the destination platform. Full article
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