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An Intelligent Computing Method for Contact Plan Design in the Multi-Layer Spatial Node-Based Internet of Things
Cui-Qin Dai1,2, Qingyang Song3,4, Lei Guo5,6
1School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China. daicq@cqupt.edu.cn.
Sensors (Basel, Switzerland)
|August 31, 2018
Summary
This study introduces a novel Contact Plan Design (CPD) for multi-layer spatial networks using Computational Intelligence (CI). The Multidirectional Particle Swarm Optimization (MPSO) algorithm efficiently manages data transmission in complex Internet of Things (IoT) environments.
Area of Science:
- Computer Science
- Network Engineering
- Artificial Intelligence
Background:
- Computational Intelligence (CI) presents challenges in routing and scheduling for dynamic, resource-constrained networks.
- Existing Contact Plan Design (CPD) methods often overlook network topology, focusing primarily on satellite connectivity.
- Spatial node-based Internet of Things (IoT) networks require intelligent networking for cooperative data delivery.
Purpose of the Study:
- To address the Contact Plan Design (CPD) challenge in multi-layer spatial node-based IoT networks.
- To develop a CI algorithm for efficient contact scheduling in dynamic and complex network environments.
- To optimize data transmission and reduce congestion in multi-layer space communication networks.
Main Methods:
- Introduction of a Multi-Layer Space Communication Network (MLSCN) model including satellites, HAPs, UAVs, and ground stations.
- Utilization of a Time-Evolving Graph (TEG) to model the CPD process.
- Proposal of a Multidirectional Particle Swarm Optimization (MPSO) algorithm for inter-layer CPD, featuring grid-based initialization and quaternary search/optimization.
- Implementation of an optimized scheme for intra-layer CPD to enhance transmission efficiency and mitigate congestion.
Main Results:
- The proposed MPSO algorithm demonstrates improved efficiency and continuous search ability for inter-layer contact planning.
- The optimized intra-layer CPD scheme effectively reduces network congestion.
- Simulation results confirm the scheme's capability for high-efficiency massive data transmission in multi-layer spatial IoT networks.
Conclusions:
- The developed CPD scheme, utilizing MPSO, offers a robust solution for efficient data handling in complex spatial IoT networks.
- The MLSCN model and TEG provide a comprehensive framework for analyzing and optimizing contact scheduling.
- This research significantly advances the application of CI in spatial networking for cooperative data delivery.
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