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Cited by 59 publications
(37 citation statements)
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References 29 publications
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“…In this way, IoT allows all kinds of physical objects to connect to the Internet and interact without the need for human intervention, turning these objects into intelligent devices [ 1 ]. However, despite its growth potential it still faces many challenges, mainly related to addressing, routing, standardization, restricted physical capabilities (e.g., energy, processing, and memory), security, privacy, and openness [ 2 ].…”
Section: Introductionmentioning
confidence: 99%
“…In this way, IoT allows all kinds of physical objects to connect to the Internet and interact without the need for human intervention, turning these objects into intelligent devices [ 1 ]. However, despite its growth potential it still faces many challenges, mainly related to addressing, routing, standardization, restricted physical capabilities (e.g., energy, processing, and memory), security, privacy, and openness [ 2 ].…”
Section: Introductionmentioning
confidence: 99%
“…represents the architecture of IoT based Sensor Data Collection of Carbon Monoxide. This Architecture consists of four major layers [6]. First layer is Sensing Layer which is responsible for collecting the data related to the Carbon monoxide emissions.…”
Section: Iot Based Sensor Data Collection Of Carbon Monoxidementioning
confidence: 99%
“…Universal Unique IDentifier (UUID) is a method of allot-ting unique identity to the smart object. Cost, energy consumption, size, resource, deployment method, topology of the network, Protocols are perspectives to be considered in designing the sensing layer of an IoT [6].The techniques used in the sensing layer are the Wireless Sensor Networks, RFID, barcode and so on.…”
Section: Sensing Layer (Wireless Sensor Devices)mentioning
confidence: 99%
“…The perturbations that lead to a change in the synaptic parameters of the implemented spiking neural network often result in a greatly degraded performance of the network [11]. At the same time, smaller sensors require smaller networks due to power restrictions [12]. Thus, taking neuromorphic computing to the next step and developing small size SNNs that are also resilient to perturbations of their parameters is a necessity.…”
Section: Introductionmentioning
confidence: 99%