Paper Info
Title
A Bio-Inspired Solution to Cluster-Based Distributed Spectrum Allocation in High-Density Cognitive Internet of Things
Abstract
With the emergence of Internet of Things (IoT), where any device is able to connect to the Internet and monitor/control physical elements, several applications were made possible, such as smart cities, smart health care, and smart transportation. The wide range of the requirements of these applications drives traditional IoT to cognitive IoT (CIoT) that supports smart resource allocation, automatic network operation and intelligent service provisioning. To enable CIoT, there is a need for flexible and reliable wireless communication. In this paper, we propose to combine cognitive radio (CR) with a biological mechanism called reaction–diffusion to provide efficient spectrum allocation for CIoT. We first formulate the quantization of qualitative connectivity-flexibility tradeoff problem to determine the optimal cluster size (i.e., number of cluster members) that maximizes clustered throughput but minimizes communication delay. Then, we propose a bio-inspired algorithm which is used by CIoT devices to form cluster distributedly. We compute the optimal values of the algorithm’s parameters (e.g., contention window) of the proposed algorithm to increase the network’s adaption to different scenarios (e.g., spectrum homogeneity and heterogeneity) and to decrease convergence time, communication overhead, and computation complexity. We conduct a theoretical analysis to validate the correctness and effectiveness of proposed bio-inspired algorithm. Simulation results show that the proposed algorithm can achieve excellent clustering performance in different scenarios.
Year
DOI
Venue
2019
10.1109/JIOT.2019.2911542
IEEE Internet of Things Journal
Keywords
Field
DocType
Bio-inspired solution,clustering algorithm,cognitive Internet of Things (CIoT),cognitive radio (CR),spectrum allocation
Wireless,Computer science,Correctness,Computer network,Resource allocation,Frequency allocation,Throughput,Cluster analysis,Distributed computing,The Internet,Cognitive radio
Journal
Volume
Issue
ISSN
6
6
2327-4662
Citations 
PageRank 
References 
3
0.39
0
Authors
6
Name
Order
Citations
PageRank
Jiaxun Li1304.12
Haitao Zhao216820.28
Abdelhakim Hafid370887.06
Ji-Bo Wei421623.34
Hao Yin577784.39
Baoquan Ren6200.92