Abstract
The current expansion of the Internet of things (IoT) demands improved communication platforms that support a wide area with low energy consumption. The 3rd Generation Partnership Project introduced narrowband IoT (NB-IoT) as IoT communication solutions. NB-IoT devices should be available for over 10 years without requiring a battery replacement. Thus, a low energy consumption is essential for the successful deployment of this technology. Given that a high amount of energy is consumed for radio transmission by the power amplifier, reducing the uplink transmission time is key to ensure a long lifespan of an IoT device. In this paper, we propose a prediction-based energy saving mechanism (PBESM) that is focused on enhanced uplink transmission. The mechanism consists of two parts: first, the network architecture that predicts the uplink packet occurrence through a deep packet inspection; second, an algorithm that predicts the processing delay and pre-assigns radio resources to enhance the scheduling request procedure. In this way, our mechanism reduces the number of random accesses and the energy consumed by radio transmission. Simulation results showed that the energy consumption using the proposed PBESM is reduced by up to 34% in comparison with that in the conventional NB-IoT method.
Highlights
Internet of things (IoT) is being applied in various fields, from small sensors to industrial control systems, by supporting the interconnection between devices, and it aims to improve the quality of life [1]
Short-range connectivity relies on technologies such as wireless local area network (WLAN), Bluetooth, and ZigBee, and the resulting network connects devices based on multiple technologies and forms an infrastructure with a gateway to connect to external networks
This section describes the system-level simulation and corresponding results to validate the performance of the proposed prediction-based energy saving mechanism (PBESM) for an narrowband IoT (NB-IoT) network
Summary
Internet of things (IoT) is being applied in various fields, from small sensors to industrial control systems, by supporting the interconnection between devices, and it aims to improve the quality of life [1]. New challenges are emerging for machine-type communication (MTC), such as public safety and problems in the field of smart grids. IoT, aimed to delay-sensitive services [3]. IoT networks will coexist with different technologies according to the type of service, rather than being unified by a single solution. The connectivity technology for IoT services is classified into two categories according to the coverage distance: short-range technology, for applications including smart home and smart health, and long-range technology, for applications including tracking and monitoring for connected cars and smart watches. Short-range connectivity relies on technologies such as wireless local area network (WLAN), Bluetooth, and ZigBee, and the resulting network connects devices based on multiple technologies and forms an infrastructure with a gateway to connect to external networks
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