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    Enhanced IoT-based end-to-end emergency and disaster relief system

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    jsan-06-00019.pdf (3.792Mb)
    Date
    2017
    Author
    Ben Arbia, Dhafer
    Alam, Muhammad Mahtab
    Kadri, Abdullah
    Ben Hamida, Elyes
    Attia, Rabah
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    Abstract
    In this paper, we present a new enhancement for an emergency and disaster relief system called Critical and Rescue Operations using Wearable Wireless sensors networks (CROW2). We address the reliability challenges in setting up a wireless autonomous communication system in order to offload data from the disaster area (rescuers, trapped victims, civilians, media, etc.) back to a command center. The proposed system connects deployed rescuers to extended networks and the Internet. CROW2 is an end-to-end system that runs the recently-proposed Optimized Routing Approach for Critical and Emergency Networks (ORACE-Net) routing protocol. The system integrates heterogeneous wireless devices (Raspberry Pi, smart phones, sensors) and various communicating technologies (WiFi IEEE 802.11n, Bluetooth IEEE 802.15.1) to enable end-to-end network connectivity which is monitored by a cloud Internet-of-Things platform. First, we present the CROW2 generic system architecture, which is adaptable to various technologies integration at different levels (i.e., on-body body-to-body off-body). Second, we implement the ORACE-Net protocol on heterogeneous devices including Android-based smart phones and Linux-based Raspberry Pi devices. These devices act as on-body coordinators to collect information from on-body sensors. The collected data is then pushed to the command center thanks to multi-hop device-to-device communication. Third, the overall CROW2 system performance is evaluated according to relevant metrics including end-to-end link quality estimation, throughput and end-to-end delay. As a proof-of-concept, we validate the system architecture through deployment and extracted experimental results. Finally, we highlight motion detection and links' unavailability prevention based on the recorded data where the main factors (i.e., interference and noise) that affect the performance are analyzed.
    DOI/handle
    http://dx.doi.org/10.3390/jsan6030019
    http://hdl.handle.net/10576/59098
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