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Smart city article details
| Title | Extended Adaptive Data-Rate (X-Adr) Technique For Optimal Resource Allocation In Smart City Applications |
|---|---|
| ID_Doc | 25865 |
| Authors | Choudhury N.; Gupta M.; Nasralla M.M.; Fujita S. |
| Year | 2023 |
| Published | Proceedings - 2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2023 |
| DOI | http://dx.doi.org/10.1109/WoWMoM57956.2023.00078 |
| Abstract | With the rapid growth of urbanization, the need for sustainable, energy-efficient, and smart solutions for home, industry, governance, traffic, and in general, the need for improved quality of life and health has risen. As an enabling technology, the Internet of Things (IoT) must facilitate several advanced applications with varied QoS requirements for smart cities. In this regard, Long Range (LoRa) technologies can be an ideal communication protocol for resource-constrained IoT devices. The LoRa Wide Area Network (LoRaWAN) defines physical layer options and the medium access control (MAC) sub-layer protocols for facilitating low-power, low-rate communications among battery-operated wireless IoT devices. With the enormous number of IoT devices and growing QoS requirements, it is imperative to optimally allocate resources (bandwidth, spreading factor, and transmit power) to these constrained devices so that network lifetime can be improved. The Adaptive Data-Rate (ADR) technique is used by the Network Servers (NS) to adapt the transmission parameters of the devices optimally. This is based on several received parameters from the end devices as well as the network settings. In this work, we extend the ADR technique to the LoRa gateways to consider the class of LoRa devices and the frequency of transmissions further to extend the energy efficiency and lifespan of IoT devices. Additionally, there is a considerable delay in adapting to optimal settings for the end-devices resulting in excess power dissipation. Further, a novel mechanism is proposed to address the congestion issue in the network using the Spreading Factor parameter (SF). © 2023 IEEE. |
| Author Keywords | Adaptiv Data-Rate; Green Smart Cities; Internet of Things; LoRaWAN; Low-power Networks; Resource Allocation |
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