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首页> 外文期刊>International Journal of Applied Metaheuristic Computing >Swarm Intelligence-Based Uplink Power Control in Cognitive Internet of Things (CIoT) for Underlay Environment
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Swarm Intelligence-Based Uplink Power Control in Cognitive Internet of Things (CIoT) for Underlay Environment

机译：基于划线环境的认知互联网的基于群体的智能互联网功率控制

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摘要

Internet of things (IoT) aims to shift intelligence to things and tends to increase the spectrum utilization efficiency. However, in doing so, it might generate high interference to the primary users (PUs) due to massive data flow into the networks. Cognitive radio smartly addresses this challenge by enabling different spectrum sharing modes while guaranteeing the quality of service. Motivated by this fact, the incorporation of cognitive abilities in IoT has given birth to a new sub-domain in IoT, known as Cognitive IoT (CIoT). This paper considers a single cell scenario in which multiple CIoT users (CUs) coexist with a PU in an underlay environment, and their communication performance has been optimized while adhering to the transmit power and interference constraints. Furthermore, two swarm intelligence-based implementations of the proposed algorithm have been provided, one based on Artificial Bee Colony (ABC) and the other based on Particle Swarm Optimization (PSO), and their effectiveness to solve the constrained power allocation problem for CIoT networks has been proved through simulations.
机译：事情互联网（物联网）旨在将智能转移到事物，往往会增加频谱利用效率。然而，在这样做时，由于大量数据流入网络，它可能会对主要用户（PU）产生高干扰。认知无线电通过在保证服务质量的同时智能共享模式巧妙地解决了这一挑战。通过这一事实，IOT中的认知能力纳入了IOT的新子域，称为认知物联网（CIOT）。本文考虑了单个单元格情景，其中多个CIOR用户（CU）与衬垫环境中的PU共存，并在遵守发射功率和干扰约束时进行了优化了它们的通信性能。此外，已经提供了两个基于算法的基于群体的基于智能的实现，一个基于人造蜜蜂殖民地（ABC）和基于粒子群优化（PSO）的另一个，以及解决CIOR网络的受限功率分配问题的效果已经通过模拟证明了。

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