Challenges in the Design of an IoT Testbed

Gvk, Sasirekha; Adhisaya, T; Aswini, P; Bapat, Jyotsna; Das, Debabrata

doi:10.1109/icct46177.2019.8969009

Cited by 10 publications

(2 citation statements)

References 12 publications

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“…The architecture is based on the open-source IoT testbed for smart buildings described in [12]. The architecture is a three-tier one with sensors/actuators at tier 1, IoT device (Raspberry Pi3 based) at level 2, and data storage with analytics at level 3 using Elasticsearch Logstash Kibana (ELK) stack [13].…”

Section: System Architecturementioning

confidence: 99%

“…The architecture is a three-tier one with sensors/actuators at tier 1, IoT device (Raspberry Pi3 based) at level 2, and data storage with analytics at level 3 using Elasticsearch Logstash Kibana (ELK) stack [13]. Figure 2 shows the modified architecture of [12], wherein Wi-Fi-based localization and occupancy detection functionalities have been added to provide the location information of the occupants. The smartphones (mobiles) are installed with an application designed to learn the RSSI measurements from different APs.…”

Section: System Architecturementioning

confidence: 99%

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Occupancy Detection for Emergency Management of Smart Building Based on Indoor Localization

et al. 2021

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Occupancy detection is essential in smart buildings from energy management and comfort management perspectives. Information on the occupancy also plays an important role in the successful execution of the rescue plan by the first responders in emergency situations. Emergency situations demand proactive, real-time, low latency, and accurate occupancy detection mechanisms. Several occupancy detection mechanisms based on the CO 2 levels, camera images, RF signals, etc. are discussed in the literature. However, practical realization and deployment of these mechanisms, specifically concerning emergency scenarios, needs exploration. In this paper, a proactive open-source client-server architecture of a Wi-Fi localization-based occupancy detection system is presented. This system can be deployed in smart buildings for emergency management. The architectural overview, design details, implementation, and testing procedures for this system are discussed in detail. The details of a simulator used for testing, based on random walk mathematical model are also presented. The results proving the functionality and performance of the system are shown in detail.

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Section: System Architecturementioning

confidence: 99%

Section: System Architecturementioning

confidence: 99%